id	sid	tid	token	lemma	pos
afs-95617	1	1	agricultural	agricultural	ADJ
afs-95617	1	2	and	and	CCONJ
afs-95617	1	3	food	food	NOUN
afs-95617	1	4	science	science	PROPN
afs-95617	1	5	h.	h.	PROPN
afs-95617	1	6	ben	ben	PROPN
afs-95617	1	7	zaabza	zaabza	PROPN
afs-95617	1	8	et	et	PROPN
afs-95617	1	9	al	al	PROPN
afs-95617	1	10	.	.	PROPN
afs-95617	1	11	(	(	PUNCT
afs-95617	1	12	2020	2020	NUM
afs-95617	1	13	)	)	PUNCT
afs-95617	1	14	29	29	NUM
afs-95617	1	15	:	:	PUNCT
afs-95617	1	16	297–306	297–306	NUM
afs-95617	1	17	297	297	NUM
afs-95617	1	18	snp_blup_rel	snp_blup_rel	ADV
afs-95617	1	19	:	:	PUNCT
afs-95617	1	20	software	software	NOUN
afs-95617	1	21	for	for	ADP
afs-95617	1	22	calculating	calculate	VERB
afs-95617	1	23	individual	individual	ADJ
afs-95617	1	24	animal	animal	NOUN
afs-95617	1	25	snp	snp	ADJ
afs-95617	1	26	-	-	ADJ
afs-95617	1	27	blup	blup	PROPN
afs-95617	1	28	model	model	NOUN
afs-95617	1	29	reliabilities	reliabilities	PROPN
afs-95617	1	30	hafedh	hafedh	VERB
afs-95617	1	31	ben	ben	PROPN
afs-95617	1	32	zaabza	zaabza	PROPN
afs-95617	1	33	,	,	PUNCT
afs-95617	1	34	esa	esa	PROPN
afs-95617	1	35	a.	a.	NOUN
afs-95617	1	36	mäntysaari	mäntysaari	PROPN
afs-95617	1	37	and	and	CCONJ
afs-95617	1	38	ismo	ismo	NOUN
afs-95617	1	39	strandén	strandén	VERB
afs-95617	1	40	natural	natural	ADJ
afs-95617	1	41	resources	resources	PROPN
afs-95617	1	42	institute	institute	PROPN
afs-95617	1	43	finland	finland	PROPN
afs-95617	1	44	(	(	PUNCT
afs-95617	1	45	luke	luke	PROPN
afs-95617	1	46	)	)	PUNCT
afs-95617	1	47	,	,	PUNCT
afs-95617	1	48	fi-31600	fi-31600	PROPN
afs-95617	1	49	jokioinen	jokioinen	PROPN
afs-95617	1	50	,	,	PUNCT
afs-95617	1	51	finland	finland	PROPN
afs-95617	1	52	e	e	NOUN
afs-95617	1	53	-	-	NOUN
afs-95617	1	54	mail	mail	NOUN
afs-95617	1	55	:	:	PUNCT
afs-95617	1	56	hafedh.benzaabza@luke.fi	hafedh.benzaabza@luke.fi	ADV
afs-95617	1	57	the	the	DET
afs-95617	1	58	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	1	59	program	program	NOUN
afs-95617	1	60	computes	compute	VERB
afs-95617	1	61	model	model	NOUN
afs-95617	1	62	reliabilities	reliability	NOUN
afs-95617	1	63	for	for	ADP
afs-95617	1	64	genomic	genomic	ADJ
afs-95617	1	65	breeding	breeding	NOUN
afs-95617	1	66	values	value	NOUN
afs-95617	1	67	.	.	PUNCT
afs-95617	2	1	the	the	DET
afs-95617	2	2	program	program	NOUN
afs-95617	2	3	assumes	assume	VERB
afs-95617	2	4	a	a	DET
afs-95617	2	5	single	single	ADJ
afs-95617	2	6	trait	trait	NOUN
afs-95617	2	7	snp	snp	ADJ
afs-95617	2	8	-	-	ADJ
afs-95617	2	9	blup	blup	NOUN
afs-95617	2	10	model	model	NOUN
afs-95617	2	11	where	where	SCONJ
afs-95617	2	12	the	the	DET
afs-95617	2	13	breeding	breeding	NOUN
afs-95617	2	14	value	value	NOUN
afs-95617	2	15	can	can	AUX
afs-95617	2	16	include	include	VERB
afs-95617	2	17	a	a	DET
afs-95617	2	18	residual	residual	ADJ
afs-95617	2	19	polygenic	polygenic	ADJ
afs-95617	2	20	(	(	PUNCT
afs-95617	2	21	rpg	rpg	NOUN
afs-95617	2	22	)	)	PUNCT
afs-95617	2	23	effect	effect	NOUN
afs-95617	2	24	.	.	PUNCT
afs-95617	3	1	the	the	DET
afs-95617	3	2	reliability	reliability	NOUN
afs-95617	3	3	calculation	calculation	NOUN
afs-95617	3	4	requires	require	VERB
afs-95617	3	5	elements	element	NOUN
afs-95617	3	6	of	of	ADP
afs-95617	3	7	the	the	DET
afs-95617	3	8	inverse	inverse	NOUN
afs-95617	3	9	of	of	ADP
afs-95617	3	10	the	the	DET
afs-95617	3	11	mixed	mixed	ADJ
afs-95617	3	12	model	model	NOUN
afs-95617	3	13	equations	equation	NOUN
afs-95617	3	14	(	(	PUNCT
afs-95617	3	15	mme	mme	NOUN
afs-95617	3	16	)	)	PUNCT
afs-95617	3	17	.	.	PUNCT
afs-95617	4	1	the	the	DET
afs-95617	4	2	calculation	calculation	NOUN
afs-95617	4	3	has	have	VERB
afs-95617	4	4	three	three	NUM
afs-95617	4	5	steps	step	NOUN
afs-95617	4	6	:	:	PUNCT
afs-95617	4	7	1	1	NUM
afs-95617	4	8	)	)	PUNCT
afs-95617	4	9	mme	mme	NOUN
afs-95617	4	10	calculation	calculation	NOUN
afs-95617	4	11	,	,	PUNCT
afs-95617	4	12	2	2	X
afs-95617	4	13	)	)	PUNCT
afs-95617	4	14	mme	mme	X
afs-95617	4	15	coefficient	coefficient	NOUN
afs-95617	4	16	matrix	matrix	NOUN
afs-95617	4	17	inversion	inversion	NOUN
afs-95617	4	18	,	,	PUNCT
afs-95617	4	19	and	and	CCONJ
afs-95617	4	20	3	3	X
afs-95617	4	21	)	)	PUNCT
afs-95617	4	22	reliability	reliability	NOUN
afs-95617	4	23	computation	computation	NOUN
afs-95617	4	24	.	.	PUNCT
afs-95617	5	1	when	when	SCONJ
afs-95617	5	2	needed	need	VERB
afs-95617	5	3	,	,	PUNCT
afs-95617	5	4	the	the	DET
afs-95617	5	5	inverted	invert	VERB
afs-95617	5	6	matrix	matrix	NOUN
afs-95617	5	7	can	can	AUX
afs-95617	5	8	be	be	AUX
afs-95617	5	9	saved	save	VERB
afs-95617	5	10	after	after	ADP
afs-95617	5	11	step	step	NOUN
afs-95617	5	12	2	2	NUM
afs-95617	5	13	.	.	PUNCT
afs-95617	6	1	step	step	NOUN
afs-95617	6	2	3	3	NUM
afs-95617	6	3	can	can	AUX
afs-95617	6	4	be	be	AUX
afs-95617	6	5	used	use	VERB
afs-95617	6	6	separately	separately	ADV
afs-95617	6	7	to	to	ADP
afs-95617	6	8	new	new	ADJ
afs-95617	6	9	genotypes	genotype	NOUN
afs-95617	6	10	which	which	PRON
afs-95617	6	11	do	do	AUX
afs-95617	6	12	not	not	PART
afs-95617	6	13	contribute	contribute	VERB
afs-95617	6	14	information	information	NOUN
afs-95617	6	15	to	to	PART
afs-95617	6	16	step	step	VERB
afs-95617	6	17	2	2	NUM
afs-95617	6	18	.	.	PUNCT
afs-95617	7	1	when	when	SCONJ
afs-95617	7	2	an	an	DET
afs-95617	7	3	rpg	rpg	NOUN
afs-95617	7	4	effect	effect	NOUN
afs-95617	7	5	is	be	AUX
afs-95617	7	6	included	include	VERB
afs-95617	7	7	,	,	PUNCT
afs-95617	7	8	an	an	DET
afs-95617	7	9	approximate	approximate	ADJ
afs-95617	7	10	method	method	NOUN
afs-95617	7	11	based	base	VERB
afs-95617	7	12	on	on	ADP
afs-95617	7	13	monte	monte	PROPN
afs-95617	7	14	carlo	carlo	PROPN
afs-95617	7	15	sampling	sampling	NOUN
afs-95617	7	16	is	be	AUX
afs-95617	7	17	applied	apply	VERB
afs-95617	7	18	.	.	PUNCT
afs-95617	8	1	this	this	PRON
afs-95617	8	2	reduces	reduce	VERB
afs-95617	8	3	the	the	DET
afs-95617	8	4	mme	mme	NOUN
afs-95617	8	5	matrix	matrix	NOUN
afs-95617	8	6	size	size	NOUN
afs-95617	8	7	and	and	CCONJ
afs-95617	8	8	allows	allow	VERB
afs-95617	8	9	including	include	VERB
afs-95617	8	10	many	many	ADJ
afs-95617	8	11	genotyped	genotype	VERB
afs-95617	8	12	individuals	individual	NOUN
afs-95617	8	13	.	.	PUNCT
afs-95617	9	1	the	the	DET
afs-95617	9	2	program	program	NOUN
afs-95617	9	3	is	be	AUX
afs-95617	9	4	written	write	VERB
afs-95617	9	5	in	in	ADP
afs-95617	9	6	fortran	fortran	NOUN
afs-95617	9	7	90/95	90/95	NUM
afs-95617	9	8	,	,	PUNCT
afs-95617	9	9	and	and	CCONJ
afs-95617	9	10	uses	use	VERB
afs-95617	9	11	lapack	lapack	PROPN
afs-95617	9	12	subroutines	subroutine	NOUN
afs-95617	9	13	which	which	PRON
afs-95617	9	14	enable	enable	VERB
afs-95617	9	15	multi	multi	ADJ
afs-95617	9	16	-	-	ADJ
afs-95617	9	17	threaded	threaded	ADJ
afs-95617	9	18	parallel	parallel	ADJ
afs-95617	9	19	computing	computing	NOUN
afs-95617	9	20	.	.	PUNCT
afs-95617	10	1	the	the	DET
afs-95617	10	2	program	program	NOUN
afs-95617	10	3	is	be	AUX
afs-95617	10	4	efficient	efficient	ADJ
afs-95617	10	5	in	in	ADP
afs-95617	10	6	terms	term	NOUN
afs-95617	10	7	of	of	ADP
afs-95617	10	8	computing	computing	NOUN
afs-95617	10	9	time	time	NOUN
afs-95617	10	10	and	and	CCONJ
afs-95617	10	11	memory	memory	NOUN
afs-95617	10	12	requirements	requirement	NOUN
afs-95617	10	13	,	,	PUNCT
afs-95617	10	14	and	and	CCONJ
afs-95617	10	15	can	can	AUX
afs-95617	10	16	be	be	AUX
afs-95617	10	17	used	use	VERB
afs-95617	10	18	to	to	PART
afs-95617	10	19	analyze	analyze	VERB
afs-95617	10	20	even	even	ADV
afs-95617	10	21	large	large	ADJ
afs-95617	10	22	genomic	genomic	ADJ
afs-95617	10	23	data	datum	NOUN
afs-95617	10	24	.	.	PUNCT
afs-95617	11	1	thus	thus	ADV
afs-95617	11	2	,	,	PUNCT
afs-95617	11	3	the	the	DET
afs-95617	11	4	program	program	NOUN
afs-95617	11	5	can	can	AUX
afs-95617	11	6	be	be	AUX
afs-95617	11	7	used	use	VERB
afs-95617	11	8	in	in	ADP
afs-95617	11	9	calculating	calculate	VERB
afs-95617	11	10	model	model	NOUN
afs-95617	11	11	reliabilities	reliability	NOUN
afs-95617	11	12	for	for	ADP
afs-95617	11	13	large	large	ADJ
afs-95617	11	14	national	national	ADJ
afs-95617	11	15	genomic	genomic	NOUN
afs-95617	11	16	evaluations	evaluation	NOUN
afs-95617	11	17	.	.	PUNCT
afs-95617	12	1	key	key	ADJ
afs-95617	12	2	words	word	NOUN
afs-95617	12	3	:	:	PUNCT
afs-95617	12	4	genomic	genomic	ADJ
afs-95617	12	5	evaluation	evaluation	NOUN
afs-95617	12	6	,	,	PUNCT
afs-95617	12	7	model	model	NOUN
afs-95617	12	8	reliability	reliability	NOUN
afs-95617	12	9	,	,	PUNCT
afs-95617	12	10	snp	snp	ADJ
afs-95617	12	11	markers	marker	NOUN
afs-95617	12	12	introduction	introduction	VERB
afs-95617	12	13	the	the	DET
afs-95617	12	14	dairy	dairy	NOUN
afs-95617	12	15	cattle	cattle	NOUN
afs-95617	12	16	evaluation	evaluation	NOUN
afs-95617	12	17	community	community	NOUN
afs-95617	12	18	is	be	AUX
afs-95617	12	19	increasingly	increasingly	ADV
afs-95617	12	20	relying	rely	VERB
afs-95617	12	21	on	on	ADP
afs-95617	12	22	estimated	estimate	VERB
afs-95617	12	23	breeding	breeding	NOUN
afs-95617	12	24	values	value	NOUN
afs-95617	12	25	(	(	PUNCT
afs-95617	12	26	ebv	ebv	NOUN
afs-95617	12	27	)	)	PUNCT
afs-95617	12	28	based	base	VERB
afs-95617	12	29	on	on	ADP
afs-95617	12	30	genomic	genomic	ADJ
afs-95617	12	31	information	information	NOUN
afs-95617	12	32	.	.	PUNCT
afs-95617	13	1	two	two	NUM
afs-95617	13	2	equivalent	equivalent	ADJ
afs-95617	13	3	genomic	genomic	NOUN
afs-95617	13	4	models	model	NOUN
afs-95617	13	5	(	(	PUNCT
afs-95617	13	6	strandén	strandén	NOUN
afs-95617	13	7	and	and	CCONJ
afs-95617	13	8	garrick	garrick	PROPN
afs-95617	13	9	2009	2009	NUM
afs-95617	13	10	)	)	PUNCT
afs-95617	13	11	are	be	AUX
afs-95617	13	12	available	available	ADJ
afs-95617	13	13	for	for	ADP
afs-95617	13	14	calculating	calculate	VERB
afs-95617	13	15	genomic	genomic	NOUN
afs-95617	13	16	ebv	ebv	NOUN
afs-95617	13	17	and	and	CCONJ
afs-95617	13	18	their	their	PRON
afs-95617	13	19	reliabilities	reliability	NOUN
afs-95617	13	20	:	:	PUNCT
afs-95617	13	21	genomic	genomic	ADJ
afs-95617	13	22	best	good	ADJ
afs-95617	13	23	linear	linear	ADJ
afs-95617	13	24	unbiased	unbiased	ADJ
afs-95617	13	25	prediction	prediction	NOUN
afs-95617	13	26	(	(	PUNCT
afs-95617	13	27	gblup	gblup	NOUN
afs-95617	13	28	)	)	PUNCT
afs-95617	13	29	and	and	CCONJ
afs-95617	13	30	marker	marker	NOUN
afs-95617	13	31	effects	effect	NOUN
afs-95617	13	32	models	model	NOUN
afs-95617	13	33	.	.	PUNCT
afs-95617	14	1	currently	currently	ADV
afs-95617	14	2	the	the	DET
afs-95617	14	3	most	most	ADV
afs-95617	14	4	common	common	ADJ
afs-95617	14	5	genomic	genomic	ADJ
afs-95617	14	6	markers	marker	NOUN
afs-95617	14	7	are	be	AUX
afs-95617	14	8	single	single	ADJ
afs-95617	14	9	nucleotide	nucleotide	ADJ
afs-95617	14	10	polymorphisms	polymorphism	NOUN
afs-95617	14	11	(	(	PUNCT
afs-95617	14	12	snp	snp	ADJ
afs-95617	14	13	)	)	PUNCT
afs-95617	14	14	,	,	PUNCT
afs-95617	14	15	and	and	CCONJ
afs-95617	14	16	the	the	DET
afs-95617	14	17	marker	marker	NOUN
afs-95617	14	18	effects	effect	NOUN
afs-95617	14	19	models	model	NOUN
afs-95617	14	20	are	be	AUX
afs-95617	14	21	,	,	PUNCT
afs-95617	14	22	thus	thus	ADV
afs-95617	14	23	,	,	PUNCT
afs-95617	14	24	generally	generally	ADV
afs-95617	14	25	used	use	VERB
afs-95617	14	26	to	to	PART
afs-95617	14	27	predict	predict	VERB
afs-95617	14	28	snp	snp	ADJ
afs-95617	14	29	effects	effect	NOUN
afs-95617	14	30	(	(	PUNCT
afs-95617	14	31	snp	snp	ADJ
afs-95617	14	32	-	-	NOUN
afs-95617	14	33	blup	blup	NOUN
afs-95617	14	34	)	)	PUNCT
afs-95617	14	35	.	.	PUNCT
afs-95617	15	1	calculation	calculation	NOUN
afs-95617	15	2	of	of	ADP
afs-95617	15	3	genomic	genomic	ADJ
afs-95617	15	4	reliability	reliability	NOUN
afs-95617	15	5	for	for	ADP
afs-95617	15	6	individual	individual	ADJ
afs-95617	15	7	ebv	ebv	NOUN
afs-95617	15	8	by	by	ADP
afs-95617	15	9	gblup	gblup	PROPN
afs-95617	15	10	requires	require	VERB
afs-95617	15	11	inverting	invert	VERB
afs-95617	15	12	the	the	DET
afs-95617	15	13	coefficient	coefficient	NOUN
afs-95617	15	14	matrix	matrix	NOUN
afs-95617	15	15	of	of	ADP
afs-95617	15	16	the	the	DET
afs-95617	15	17	mixed	mixed	ADJ
afs-95617	15	18	model	model	NOUN
afs-95617	15	19	equations	equation	NOUN
afs-95617	15	20	(	(	PUNCT
afs-95617	15	21	mme	mme	X
afs-95617	15	22	)	)	PUNCT
afs-95617	15	23	that	that	PRON
afs-95617	15	24	include	include	VERB
afs-95617	15	25	the	the	DET
afs-95617	15	26	inverse	inverse	NOUN
afs-95617	15	27	of	of	ADP
afs-95617	15	28	the	the	DET
afs-95617	15	29	genomic	genomic	NOUN
afs-95617	15	30	relationship	relationship	NOUN
afs-95617	15	31	matrix	matrix	NOUN
afs-95617	15	32	.	.	PUNCT
afs-95617	16	1	these	these	DET
afs-95617	16	2	matrix	matrix	NOUN
afs-95617	16	3	inversions	inversion	NOUN
afs-95617	16	4	become	become	VERB
afs-95617	16	5	infeasible	infeasible	ADJ
afs-95617	16	6	as	as	ADP
afs-95617	16	7	the	the	DET
afs-95617	16	8	number	number	NOUN
afs-95617	16	9	of	of	ADP
afs-95617	16	10	genotyped	genotype	VERB
afs-95617	16	11	animals	animal	NOUN
afs-95617	16	12	increases	increase	VERB
afs-95617	16	13	(	(	PUNCT
afs-95617	16	14	fernando	fernando	PROPN
afs-95617	16	15	et	et	PROPN
afs-95617	16	16	al	al	PROPN
afs-95617	16	17	.	.	PROPN
afs-95617	16	18	2016	2016	NUM
afs-95617	16	19	)	)	PUNCT
afs-95617	16	20	.	.	PUNCT
afs-95617	17	1	in	in	ADP
afs-95617	17	2	contrast	contrast	NOUN
afs-95617	17	3	,	,	PUNCT
afs-95617	17	4	the	the	DET
afs-95617	17	5	mme	mme	NOUN
afs-95617	17	6	matrix	matrix	NOUN
afs-95617	17	7	size	size	NOUN
afs-95617	17	8	of	of	ADP
afs-95617	17	9	snp	snp	PROPN
afs-95617	17	10	-	-	NOUN
afs-95617	17	11	blup	blup	PROPN
afs-95617	17	12	is	be	AUX
afs-95617	17	13	bounded	bound	VERB
afs-95617	17	14	by	by	ADP
afs-95617	17	15	the	the	DET
afs-95617	17	16	number	number	NOUN
afs-95617	17	17	of	of	ADP
afs-95617	17	18	snp	snp	ADJ
afs-95617	17	19	markers	marker	NOUN
afs-95617	17	20	.	.	PUNCT
afs-95617	18	1	thus	thus	ADV
afs-95617	18	2	,	,	PUNCT
afs-95617	18	3	snp	snp	NOUN
afs-95617	18	4	-	-	ADJ
afs-95617	18	5	blup	blup	PROPN
afs-95617	18	6	can	can	AUX
afs-95617	18	7	scale	scale	VERB
afs-95617	18	8	to	to	ADP
afs-95617	18	9	large	large	ADJ
afs-95617	18	10	numbers	number	NOUN
afs-95617	18	11	of	of	ADP
afs-95617	18	12	genotyped	genotype	VERB
afs-95617	18	13	animals	animal	NOUN
afs-95617	18	14	better	well	ADV
afs-95617	18	15	than	than	ADP
afs-95617	18	16	gblup	gblup	NOUN
afs-95617	18	17	.	.	PUNCT
afs-95617	19	1	in	in	ADP
afs-95617	19	2	snp	snp	ADJ
afs-95617	19	3	-	-	NOUN
afs-95617	19	4	blup	blup	NOUN
afs-95617	19	5	,	,	PUNCT
afs-95617	19	6	the	the	DET
afs-95617	19	7	inverse	inverse	NOUN
afs-95617	19	8	of	of	ADP
afs-95617	19	9	the	the	DET
afs-95617	19	10	mme	mme	X
afs-95617	19	11	coefficient	coefficient	NOUN
afs-95617	19	12	matrix	matrix	NOUN
afs-95617	19	13	provides	provide	VERB
afs-95617	19	14	the	the	DET
afs-95617	19	15	prediction	prediction	NOUN
afs-95617	19	16	error	error	NOUN
afs-95617	19	17	(	(	PUNCT
afs-95617	19	18	co)variances	co)variance	NOUN
afs-95617	19	19	(	(	PUNCT
afs-95617	19	20	pev	pev	NOUN
afs-95617	19	21	)	)	PUNCT
afs-95617	19	22	of	of	ADP
afs-95617	19	23	the	the	DET
afs-95617	19	24	snp	snp	ADJ
afs-95617	19	25	solutions	solution	NOUN
afs-95617	19	26	,	,	PUNCT
afs-95617	19	27	which	which	PRON
afs-95617	19	28	can	can	AUX
afs-95617	19	29	thereafter	thereafter	ADV
afs-95617	19	30	be	be	AUX
afs-95617	19	31	used	use	VERB
afs-95617	19	32	to	to	PART
afs-95617	19	33	derive	derive	VERB
afs-95617	19	34	pev	pev	NOUN
afs-95617	19	35	for	for	ADP
afs-95617	19	36	the	the	DET
afs-95617	19	37	ebv	ebv	NOUN
afs-95617	19	38	.	.	PUNCT
afs-95617	20	1	while	while	SCONJ
afs-95617	20	2	the	the	DET
afs-95617	20	3	computation	computation	NOUN
afs-95617	20	4	of	of	ADP
afs-95617	20	5	reliabilities	reliability	NOUN
afs-95617	20	6	with	with	ADP
afs-95617	20	7	gblup	gblup	PROPN
afs-95617	20	8	requires	require	VERB
afs-95617	20	9	the	the	DET
afs-95617	20	10	inclusion	inclusion	NOUN
afs-95617	20	11	of	of	ADP
afs-95617	20	12	all	all	DET
afs-95617	20	13	animals	animal	NOUN
afs-95617	20	14	into	into	ADP
afs-95617	20	15	the	the	DET
afs-95617	20	16	genomic	genomic	NOUN
afs-95617	20	17	relationship	relationship	NOUN
afs-95617	20	18	matrix	matrix	NOUN
afs-95617	20	19	,	,	PUNCT
afs-95617	20	20	the	the	DET
afs-95617	20	21	snp	snp	ADJ
afs-95617	20	22	-	-	ADJ
afs-95617	20	23	blup	blup	PROPN
afs-95617	20	24	model	model	NOUN
afs-95617	20	25	involves	involve	VERB
afs-95617	20	26	two	two	NUM
afs-95617	20	27	stages	stage	NOUN
afs-95617	20	28	:	:	PUNCT
afs-95617	20	29	1	1	X
afs-95617	20	30	)	)	PUNCT
afs-95617	20	31	pev	pev	NOUN
afs-95617	20	32	for	for	ADP
afs-95617	20	33	the	the	DET
afs-95617	20	34	snp	snp	ADJ
afs-95617	20	35	effects	effect	NOUN
afs-95617	20	36	are	be	AUX
afs-95617	20	37	estimated	estimate	VERB
afs-95617	20	38	using	use	VERB
afs-95617	20	39	the	the	DET
afs-95617	20	40	genotypes	genotype	NOUN
afs-95617	20	41	of	of	ADP
afs-95617	20	42	phenotyped	phenotype	VERB
afs-95617	20	43	animals	animal	NOUN
afs-95617	20	44	,	,	PUNCT
afs-95617	20	45	and	and	CCONJ
afs-95617	20	46	2	2	X
afs-95617	20	47	)	)	PUNCT
afs-95617	20	48	reliability	reliability	NOUN
afs-95617	20	49	of	of	ADP
afs-95617	20	50	the	the	DET
afs-95617	20	51	ebv	ebv	NOUN
afs-95617	20	52	of	of	ADP
afs-95617	20	53	each	each	DET
afs-95617	20	54	genotyped	genotype	VERB
afs-95617	20	55	animal	animal	NOUN
afs-95617	20	56	is	be	AUX
afs-95617	20	57	computed	compute	VERB
afs-95617	20	58	using	use	VERB
afs-95617	20	59	the	the	DET
afs-95617	20	60	pev	pev	NOUN
afs-95617	20	61	of	of	ADP
afs-95617	20	62	the	the	DET
afs-95617	20	63	snp	snp	ADJ
afs-95617	20	64	effects	effect	NOUN
afs-95617	20	65	without	without	ADP
afs-95617	20	66	the	the	DET
afs-95617	20	67	need	need	NOUN
afs-95617	20	68	to	to	PART
afs-95617	20	69	consider	consider	VERB
afs-95617	20	70	its	its	PRON
afs-95617	20	71	phenotype	phenotype	NOUN
afs-95617	20	72	.	.	PUNCT
afs-95617	21	1	typically	typically	ADV
afs-95617	21	2	,	,	PUNCT
afs-95617	21	3	genetic	genetic	ADJ
afs-95617	21	4	variation	variation	NOUN
afs-95617	21	5	can	can	AUX
afs-95617	21	6	not	not	PART
afs-95617	21	7	be	be	AUX
afs-95617	21	8	completely	completely	ADV
afs-95617	21	9	detected	detect	VERB
afs-95617	21	10	by	by	ADP
afs-95617	21	11	snp	snp	NOUN
afs-95617	21	12	markers	marker	NOUN
afs-95617	21	13	because	because	SCONJ
afs-95617	21	14	of	of	ADP
afs-95617	21	15	the	the	DET
afs-95617	21	16	incomplete	incomplete	ADJ
afs-95617	21	17	linkage	linkage	NOUN
afs-95617	21	18	disequilibrium	disequilibrium	NOUN
afs-95617	21	19	between	between	ADP
afs-95617	21	20	the	the	DET
afs-95617	21	21	used	use	VERB
afs-95617	21	22	snp	snp	ADJ
afs-95617	21	23	markers	marker	NOUN
afs-95617	21	24	and	and	CCONJ
afs-95617	21	25	the	the	DET
afs-95617	21	26	quantitative	quantitative	ADJ
afs-95617	21	27	trait	trait	NOUN
afs-95617	21	28	loci	locus	NOUN
afs-95617	21	29	of	of	ADP
afs-95617	21	30	the	the	DET
afs-95617	21	31	evaluated	evaluated	ADJ
afs-95617	21	32	trait	trait	NOUN
afs-95617	21	33	.	.	PUNCT
afs-95617	22	1	a	a	DET
afs-95617	22	2	residual	residual	ADJ
afs-95617	22	3	polygenic	polygenic	ADJ
afs-95617	22	4	(	(	PUNCT
afs-95617	22	5	rpg	rpg	NOUN
afs-95617	22	6	)	)	PUNCT
afs-95617	22	7	effect	effect	NOUN
afs-95617	22	8	is	be	AUX
afs-95617	22	9	often	often	ADV
afs-95617	22	10	included	include	VERB
afs-95617	22	11	to	to	PART
afs-95617	22	12	account	account	VERB
afs-95617	22	13	for	for	ADP
afs-95617	22	14	the	the	DET
afs-95617	22	15	variance	variance	NOUN
afs-95617	22	16	not	not	PART
afs-95617	22	17	captured	capture	VERB
afs-95617	22	18	by	by	ADP
afs-95617	22	19	snp	snp	ADJ
afs-95617	22	20	markers	marker	NOUN
afs-95617	22	21	.	.	PUNCT
afs-95617	23	1	however	however	ADV
afs-95617	23	2	,	,	PUNCT
afs-95617	23	3	including	include	VERB
afs-95617	23	4	an	an	DET
afs-95617	23	5	rpg	rpg	ADJ
afs-95617	23	6	effect	effect	NOUN
afs-95617	23	7	into	into	ADP
afs-95617	23	8	the	the	DET
afs-95617	23	9	snp	snp	ADJ
afs-95617	23	10	-	-	ADJ
afs-95617	23	11	blup	blup	PROPN
afs-95617	23	12	model	model	NOUN
afs-95617	23	13	leads	lead	VERB
afs-95617	23	14	to	to	ADP
afs-95617	23	15	an	an	DET
afs-95617	23	16	increase	increase	NOUN
afs-95617	23	17	in	in	ADP
afs-95617	23	18	the	the	DET
afs-95617	23	19	size	size	NOUN
afs-95617	23	20	of	of	ADP
afs-95617	23	21	the	the	DET
afs-95617	23	22	mme	mme	NOUN
afs-95617	23	23	by	by	ADP
afs-95617	23	24	the	the	DET
afs-95617	23	25	number	number	NOUN
afs-95617	23	26	of	of	ADP
afs-95617	23	27	genotyped	genotype	VERB
afs-95617	23	28	animals	animal	NOUN
afs-95617	23	29	(	(	PUNCT
afs-95617	23	30	liu	liu	PROPN
afs-95617	23	31	et	et	PROPN
afs-95617	23	32	al	al	PROPN
afs-95617	23	33	.	.	PROPN
afs-95617	23	34	2016	2016	NUM
afs-95617	23	35	)	)	PUNCT
afs-95617	23	36	.	.	PUNCT
afs-95617	24	1	this	this	PRON
afs-95617	24	2	can	can	AUX
afs-95617	24	3	be	be	AUX
afs-95617	24	4	avoided	avoid	VERB
afs-95617	24	5	by	by	ADP
afs-95617	24	6	an	an	DET
afs-95617	24	7	approximation	approximation	NOUN
afs-95617	24	8	based	base	VERB
afs-95617	24	9	on	on	ADP
afs-95617	24	10	monte	monte	PROPN
afs-95617	24	11	carlo	carlo	PROPN
afs-95617	24	12	(	(	PUNCT
afs-95617	24	13	mc	mc	PROPN
afs-95617	24	14	)	)	PUNCT
afs-95617	24	15	sampling	sampling	NOUN
afs-95617	24	16	of	of	ADP
afs-95617	24	17	pseudo	pseudo	NOUN
afs-95617	24	18	markers	marker	NOUN
afs-95617	24	19	that	that	PRON
afs-95617	24	20	construct	construct	VERB
afs-95617	24	21	the	the	DET
afs-95617	24	22	relationships	relationship	NOUN
afs-95617	24	23	among	among	ADP
afs-95617	24	24	animals	animal	NOUN
afs-95617	24	25	(	(	PUNCT
afs-95617	24	26	ben	ben	PROPN
afs-95617	24	27	zaabza	zaabza	PROPN
afs-95617	24	28	et	et	PROPN
afs-95617	24	29	al	al	PROPN
afs-95617	24	30	.	.	PROPN
afs-95617	24	31	2020	2020	NUM
afs-95617	24	32	)	)	PUNCT
afs-95617	24	33	.	.	PUNCT
afs-95617	25	1	in	in	ADP
afs-95617	25	2	this	this	DET
afs-95617	25	3	paper	paper	NOUN
afs-95617	25	4	we	we	PRON
afs-95617	25	5	will	will	AUX
afs-95617	25	6	describe	describe	VERB
afs-95617	25	7	an	an	DET
afs-95617	25	8	efficient	efficient	ADJ
afs-95617	25	9	program	program	NOUN
afs-95617	25	10	,	,	PUNCT
afs-95617	25	11	called	call	VERB
afs-95617	25	12	snp_blup_rel	snp_blup_rel	ADV
afs-95617	25	13	,	,	PUNCT
afs-95617	25	14	which	which	PRON
afs-95617	25	15	allows	allow	VERB
afs-95617	25	16	the	the	DET
afs-95617	25	17	calculation	calculation	NOUN
afs-95617	25	18	of	of	ADP
afs-95617	25	19	reliabilities	reliability	NOUN
afs-95617	25	20	of	of	ADP
afs-95617	25	21	ebv	ebv	NOUN
afs-95617	25	22	by	by	ADP
afs-95617	25	23	snp	snp	NOUN
afs-95617	25	24	-	-	NOUN
afs-95617	25	25	blup	blup	NOUN
afs-95617	25	26	,	,	PUNCT
afs-95617	25	27	both	both	CCONJ
afs-95617	25	28	with	with	ADP
afs-95617	25	29	and	and	CCONJ
afs-95617	25	30	without	without	ADP
afs-95617	25	31	an	an	DET
afs-95617	25	32	rpg	rpg	NOUN
afs-95617	25	33	effect	effect	NOUN
afs-95617	25	34	.	.	PUNCT
afs-95617	26	1	a	a	DET
afs-95617	26	2	single	single	ADJ
afs-95617	26	3	trait	trait	NOUN
afs-95617	26	4	snp	snp	NOUN
afs-95617	26	5	-	-	NOUN
afs-95617	26	6	blup	blup	PROPN
afs-95617	26	7	with	with	ADP
afs-95617	26	8	a	a	DET
afs-95617	26	9	general	general	ADJ
afs-95617	26	10	mean	mean	NOUN
afs-95617	26	11	is	be	AUX
afs-95617	26	12	assumed	assume	VERB
afs-95617	26	13	.	.	PUNCT
afs-95617	27	1	if	if	SCONJ
afs-95617	27	2	multiple	multiple	ADJ
afs-95617	27	3	traits	trait	NOUN
afs-95617	27	4	(	(	PUNCT
afs-95617	27	5	with	with	ADP
afs-95617	27	6	different	different	ADJ
afs-95617	27	7	training	training	NOUN
afs-95617	27	8	population	population	NOUN
afs-95617	27	9	and/or	and/or	CCONJ
afs-95617	27	10	variance	variance	NOUN
afs-95617	27	11	components	component	NOUN
afs-95617	27	12	)	)	PUNCT
afs-95617	27	13	need	need	VERB
afs-95617	27	14	to	to	PART
afs-95617	27	15	be	be	AUX
afs-95617	27	16	analyzed	analyze	VERB
afs-95617	27	17	,	,	PUNCT
afs-95617	27	18	then	then	ADV
afs-95617	27	19	each	each	DET
afs-95617	27	20	trait	trait	NOUN
afs-95617	27	21	will	will	AUX
afs-95617	27	22	require	require	VERB
afs-95617	27	23	its	its	PRON
afs-95617	27	24	own	own	ADJ
afs-95617	27	25	inverse	inverse	NOUN
afs-95617	27	26	of	of	ADP
afs-95617	27	27	the	the	DET
afs-95617	27	28	coefficient	coefficient	NOUN
afs-95617	27	29	matrix	matrix	NOUN
afs-95617	27	30	of	of	ADP
afs-95617	27	31	the	the	DET
afs-95617	27	32	mme	mme	NOUN
afs-95617	27	33	.	.	PUNCT
afs-95617	28	1	the	the	DET
afs-95617	28	2	snp_blup_rel	snp_blup_rel	PROPN
afs-95617	28	3	program	program	NOUN
afs-95617	28	4	has	have	AUX
afs-95617	28	5	been	be	AUX
afs-95617	28	6	used	use	VERB
afs-95617	28	7	in	in	ADP
afs-95617	28	8	earlier	early	ADJ
afs-95617	28	9	studies	study	NOUN
afs-95617	28	10	(	(	PUNCT
afs-95617	28	11	liu	liu	PROPN
afs-95617	28	12	et	et	PROPN
afs-95617	28	13	al	al	PROPN
afs-95617	28	14	.	.	PROPN
afs-95617	28	15	2017	2017	NUM
afs-95617	28	16	,	,	PUNCT
afs-95617	28	17	ben	ben	PROPN
afs-95617	28	18	zaabza	zaabza	PROPN
afs-95617	28	19	et	et	PROPN
afs-95617	28	20	al	al	PROPN
afs-95617	28	21	.	.	PROPN
afs-95617	28	22	2020	2020	NUM
afs-95617	28	23	)	)	PUNCT
afs-95617	28	24	,	,	PUNCT
afs-95617	28	25	but	but	CCONJ
afs-95617	28	26	here	here	ADV
afs-95617	28	27	we	we	PRON
afs-95617	28	28	concentrate	concentrate	VERB
afs-95617	28	29	on	on	ADP
afs-95617	28	30	describing	describe	VERB
afs-95617	28	31	the	the	DET
afs-95617	28	32	program	program	NOUN
afs-95617	28	33	itself	itself	PRON
afs-95617	28	34	.	.	PUNCT
afs-95617	29	1	firstly	firstly	ADV
afs-95617	29	2	,	,	PUNCT
afs-95617	29	3	we	we	PRON
afs-95617	29	4	present	present	VERB
afs-95617	29	5	some	some	DET
afs-95617	29	6	theoretical	theoretical	ADJ
afs-95617	29	7	background	background	NOUN
afs-95617	29	8	and	and	CCONJ
afs-95617	29	9	the	the	DET
afs-95617	29	10	algorithm	algorithm	NOUN
afs-95617	29	11	used	use	VERB
afs-95617	29	12	in	in	ADP
afs-95617	29	13	the	the	DET
afs-95617	29	14	implementation	implementation	NOUN
afs-95617	29	15	.	.	PUNCT
afs-95617	30	1	then	then	ADV
afs-95617	30	2	,	,	PUNCT
afs-95617	30	3	we	we	PRON
afs-95617	30	4	describe	describe	VERB
afs-95617	30	5	the	the	DET
afs-95617	30	6	most	most	ADV
afs-95617	30	7	important	important	ADJ
afs-95617	30	8	options	option	NOUN
afs-95617	30	9	,	,	PUNCT
afs-95617	30	10	and	and	CCONJ
afs-95617	30	11	give	give	VERB
afs-95617	30	12	examples	example	NOUN
afs-95617	30	13	of	of	ADP
afs-95617	30	14	genomic	genomic	ADJ
afs-95617	30	15	reliability	reliability	NOUN
afs-95617	30	16	calculations	calculation	NOUN
afs-95617	30	17	.	.	PUNCT
afs-95617	31	1	manuscript	manuscript	NOUN
afs-95617	31	2	received	receive	VERB
afs-95617	31	3	june	june	PROPN
afs-95617	31	4	2020	2020	NUM
afs-95617	31	5	agricultural	agricultural	ADJ
afs-95617	31	6	and	and	CCONJ
afs-95617	31	7	food	food	NOUN
afs-95617	31	8	science	science	PROPN
afs-95617	31	9	h.	h.	PROPN
afs-95617	31	10	ben	ben	PROPN
afs-95617	31	11	zaabza	zaabza	PROPN
afs-95617	31	12	et	et	PROPN
afs-95617	31	13	al	al	PROPN
afs-95617	31	14	.	.	PROPN
afs-95617	32	1	(	(	PUNCT
afs-95617	32	2	2020	2020	NUM
afs-95617	32	3	)	)	PUNCT
afs-95617	32	4	29	29	NUM
afs-95617	32	5	:	:	PUNCT
afs-95617	32	6	297–306	297–306	NUM
afs-95617	32	7	298	298	NUM
afs-95617	32	8	theoretical	theoretical	ADJ
afs-95617	32	9	background	background	NOUN
afs-95617	32	10	ebv	ebv	NOUN
afs-95617	32	11	reliability	reliability	NOUN
afs-95617	32	12	in	in	ADP
afs-95617	32	13	a	a	DET
afs-95617	32	14	genomic	genomic	NOUN
afs-95617	32	15	model	model	NOUN
afs-95617	32	16	consider	consider	VERB
afs-95617	32	17	a	a	DET
afs-95617	32	18	gblup	gblup	NOUN
afs-95617	32	19	model	model	NOUN
afs-95617	32	20	(	(	PUNCT
afs-95617	32	21	1	1	NUM
afs-95617	32	22	)	)	PUNCT
afs-95617	32	23	where	where	SCONJ
afs-95617	32	24	y	y	PROPN
afs-95617	32	25	is	be	AUX
afs-95617	32	26	an	an	DET
afs-95617	32	27	n×1	n×1	PROPN
afs-95617	32	28	data	data	NOUN
afs-95617	32	29	vector	vector	NOUN
afs-95617	32	30	,	,	PUNCT
afs-95617	32	31	1n	1n	PROPN
afs-95617	32	32	is	be	AUX
afs-95617	32	33	a	a	DET
afs-95617	32	34	vector	vector	NOUN
afs-95617	32	35	of	of	ADP
afs-95617	32	36	n	n	DET
afs-95617	32	37	ones	one	NOUN
afs-95617	32	38	,	,	PUNCT
afs-95617	32	39	µ	µ	X
afs-95617	32	40	is	be	AUX
afs-95617	32	41	the	the	DET
afs-95617	32	42	unknown	unknown	ADJ
afs-95617	32	43	overall	overall	ADJ
afs-95617	32	44	mean	mean	NOUN
afs-95617	32	45	,	,	PUNCT
afs-95617	32	46	ug	ug	SCONJ
afs-95617	32	47	is	be	AUX
afs-95617	32	48	a	a	DET
afs-95617	32	49	n×1	n×1	NOUN
afs-95617	32	50	vector	vector	NOUN
afs-95617	32	51	of	of	ADP
afs-95617	32	52	additive	additive	ADJ
afs-95617	32	53	genetic	genetic	ADJ
afs-95617	32	54	effects	effect	NOUN
afs-95617	32	55	;	;	PUNCT
afs-95617	32	56	e	e	X
afs-95617	32	57	is	be	AUX
afs-95617	32	58	a	a	DET
afs-95617	32	59	n×1	n×1	NOUN
afs-95617	32	60	vector	vector	NOUN
afs-95617	32	61	of	of	ADP
afs-95617	32	62	residuals	residual	NOUN
afs-95617	32	63	.	.	PUNCT
afs-95617	33	1	assume	assume	VERB
afs-95617	33	2	that	that	PRON
afs-95617	33	3	and	and	CCONJ
afs-95617	33	4	where	where	SCONJ
afs-95617	33	5	is	be	AUX
afs-95617	33	6	the	the	DET
afs-95617	33	7	additive	additive	ADJ
afs-95617	33	8	genetic	genetic	ADJ
afs-95617	33	9	variance	variance	NOUN
afs-95617	33	10	,	,	PUNCT
afs-95617	33	11	and	and	CCONJ
afs-95617	33	12	is	be	AUX
afs-95617	33	13	the	the	DET
afs-95617	33	14	residual	residual	ADJ
afs-95617	33	15	variance	variance	NOUN
afs-95617	33	16	.	.	PUNCT
afs-95617	34	1	the	the	DET
afs-95617	34	2	r	r	NOUN
afs-95617	34	3	matrix	matrix	NOUN
afs-95617	34	4	can	can	AUX
afs-95617	34	5	be	be	AUX
afs-95617	34	6	assumed	assume	VERB
afs-95617	34	7	to	to	PART
afs-95617	34	8	be	be	AUX
afs-95617	34	9	diagonal	diagonal	ADJ
afs-95617	34	10	with	with	ADP
afs-95617	34	11	elements	element	NOUN
afs-95617	34	12	,	,	PUNCT
afs-95617	34	13	where	where	SCONJ
afs-95617	34	14	wi	wi	PROPN
afs-95617	34	15	is	be	AUX
afs-95617	34	16	the	the	DET
afs-95617	34	17	weight	weight	NOUN
afs-95617	34	18	for	for	ADP
afs-95617	34	19	observation	observation	NOUN
afs-95617	34	20	i.	i.	NOUN
afs-95617	34	21	when	when	SCONJ
afs-95617	34	22	both	both	CCONJ
afs-95617	34	23	the	the	DET
afs-95617	34	24	marker	marker	NOUN
afs-95617	34	25	and	and	CCONJ
afs-95617	34	26	the	the	DET
afs-95617	34	27	pedigree	pedigree	ADJ
afs-95617	34	28	information	information	NOUN
afs-95617	34	29	influence	influence	VERB
afs-95617	34	30	the	the	DET
afs-95617	34	31	genomic	genomic	ADJ
afs-95617	34	32	relationship	relationship	NOUN
afs-95617	34	33	matrix	matrix	NOUN
afs-95617	34	34	gw	gw	PROPN
afs-95617	34	35	,	,	PUNCT
afs-95617	34	36	it	it	PRON
afs-95617	34	37	can	can	AUX
afs-95617	34	38	be	be	AUX
afs-95617	34	39	written	write	VERB
afs-95617	34	40	gw=(1	gw=(1	NOUN
afs-95617	34	41	-	-	PUNCT
afs-95617	34	42	w)zz´+wa22	w)zz´+wa22	NUM
afs-95617	34	43	,	,	PUNCT
afs-95617	34	44	where	where	SCONJ
afs-95617	34	45	w	w	NOUN
afs-95617	34	46	is	be	AUX
afs-95617	34	47	the	the	DET
afs-95617	34	48	rpg	rpg	NOUN
afs-95617	34	49	proportion	proportion	NOUN
afs-95617	34	50	,	,	PUNCT
afs-95617	34	51	z	z	PROPN
afs-95617	34	52	is	be	AUX
afs-95617	34	53	an	an	DET
afs-95617	34	54	n	n	NOUN
afs-95617	34	55	by	by	ADP
afs-95617	34	56	m	m	NOUN
afs-95617	34	57	marker	marker	NOUN
afs-95617	34	58	matrix	matrix	NOUN
afs-95617	34	59	of	of	ADP
afs-95617	34	60	centered	center	VERB
afs-95617	34	61	and	and	CCONJ
afs-95617	34	62	scaled	scaled	ADJ
afs-95617	34	63	genotypes	genotype	NOUN
afs-95617	34	64	,	,	PUNCT
afs-95617	34	65	and	and	CCONJ
afs-95617	34	66	a22	a22	PROPN
afs-95617	34	67	is	be	AUX
afs-95617	34	68	the	the	DET
afs-95617	34	69	pedigree	pedigree	ADJ
afs-95617	34	70	relationship	relationship	NOUN
afs-95617	34	71	matrix	matrix	NOUN
afs-95617	34	72	among	among	ADP
afs-95617	34	73	the	the	DET
afs-95617	34	74	genotyped	genotype	VERB
afs-95617	34	75	animals	animal	NOUN
afs-95617	34	76	.	.	PUNCT
afs-95617	35	1	common	common	ADJ
afs-95617	35	2	centering	centering	NOUN
afs-95617	35	3	and	and	CCONJ
afs-95617	35	4	scaling	scale	VERB
afs-95617	35	5	approaches	approach	NOUN
afs-95617	35	6	for	for	ADP
afs-95617	35	7	the	the	DET
afs-95617	35	8	z	z	NOUN
afs-95617	35	9	matrix	matrix	NOUN
afs-95617	35	10	are	be	AUX
afs-95617	35	11	called	call	VERB
afs-95617	35	12	vanraden	vanraden	NOUN
afs-95617	35	13	(	(	PUNCT
afs-95617	35	14	2008	2008	NUM
afs-95617	35	15	)	)	PUNCT
afs-95617	35	16	methods	method	NOUN
afs-95617	35	17	1	1	NUM
afs-95617	35	18	and	and	CCONJ
afs-95617	35	19	2	2	NUM
afs-95617	35	20	.	.	X
afs-95617	36	1	in	in	ADP
afs-95617	36	2	the	the	DET
afs-95617	36	3	z	z	NOUN
afs-95617	36	4	matrix	matrix	NOUN
afs-95617	36	5	,	,	PUNCT
afs-95617	36	6	column	column	NOUN
afs-95617	36	7	k	k	PROPN
afs-95617	36	8	for	for	ADP
afs-95617	36	9	a	a	DET
afs-95617	36	10	marker	marker	NOUN
afs-95617	36	11	has	have	VERB
afs-95617	36	12	value	value	NOUN
afs-95617	36	13	,	,	PUNCT
afs-95617	36	14	,	,	PUNCT
afs-95617	36	15	and	and	CCONJ
afs-95617	36	16	for	for	ADP
afs-95617	36	17	genotypes	genotype	NOUN
afs-95617	36	18	bb	bb	PROPN
afs-95617	36	19	,	,	PUNCT
afs-95617	36	20	ab	ab	PROPN
afs-95617	36	21	,	,	PUNCT
afs-95617	36	22	and	and	CCONJ
afs-95617	36	23	aa	aa	NOUN
afs-95617	36	24	,	,	PUNCT
afs-95617	36	25	respectively	respectively	ADV
afs-95617	36	26	,	,	PUNCT
afs-95617	36	27	where	where	SCONJ
afs-95617	36	28	pk	pk	NOUN
afs-95617	36	29	is	be	AUX
afs-95617	36	30	the	the	DET
afs-95617	36	31	(	(	PUNCT
afs-95617	36	32	base	base	NOUN
afs-95617	36	33	population	population	NOUN
afs-95617	36	34	)	)	PUNCT
afs-95617	36	35	allele	allele	NOUN
afs-95617	36	36	frequency	frequency	NOUN
afs-95617	36	37	of	of	ADP
afs-95617	36	38	marker	marker	NOUN
afs-95617	36	39	k.	k.	PROPN
afs-95617	36	40	in	in	ADP
afs-95617	36	41	method	method	NOUN
afs-95617	36	42	1	1	NUM
afs-95617	36	43	,	,	PUNCT
afs-95617	36	44	,	,	PUNCT
afs-95617	36	45	and	and	CCONJ
afs-95617	36	46	in	in	ADP
afs-95617	36	47	method	method	NOUN
afs-95617	36	48	2	2	NUM
afs-95617	36	49	,	,	PUNCT
afs-95617	36	50	.	.	PUNCT
afs-95617	37	1	an	an	DET
afs-95617	37	2	equivalent	equivalent	ADJ
afs-95617	37	3	snp	snp	ADJ
afs-95617	37	4	-	-	ADJ
afs-95617	37	5	blup	blup	ADJ
afs-95617	37	6	model	model	NOUN
afs-95617	37	7	to	to	ADP
afs-95617	37	8	the	the	DET
afs-95617	37	9	gblup	gblup	PROPN
afs-95617	37	10	model	model	NOUN
afs-95617	37	11	(	(	PUNCT
afs-95617	37	12	1	1	NUM
afs-95617	37	13	)	)	PUNCT
afs-95617	37	14	is	be	AUX
afs-95617	37	15	(	(	PUNCT
afs-95617	37	16	ben	ben	PROPN
afs-95617	37	17	zaabza	zaabza	PROPN
afs-95617	37	18	et	et	PROPN
afs-95617	37	19	al	al	PROPN
afs-95617	37	20	.	.	PROPN
afs-95617	37	21	2020	2020	NUM
afs-95617	37	22	)	)	PUNCT
afs-95617	37	23	(	(	PUNCT
afs-95617	37	24	2	2	X
afs-95617	37	25	)	)	PUNCT
afs-95617	37	26	where	where	SCONJ
afs-95617	37	27	,	,	PUNCT
afs-95617	37	28	and	and	CCONJ
afs-95617	37	29	,	,	PUNCT
afs-95617	37	30	u	u	NOUN
afs-95617	37	31	is	be	AUX
afs-95617	37	32	a	a	DET
afs-95617	37	33	vector	vector	NOUN
afs-95617	37	34	of	of	ADP
afs-95617	37	35	the	the	DET
afs-95617	37	36	unknown	unknown	ADJ
afs-95617	37	37	pseudo	pseudo	NOUN
afs-95617	37	38	marker	marker	NOUN
afs-95617	37	39	effects	effect	NOUN
afs-95617	37	40	,	,	PUNCT
afs-95617	37	41	g	g	PROPN
afs-95617	37	42	is	be	AUX
afs-95617	37	43	a	a	DET
afs-95617	37	44	vector	vector	NOUN
afs-95617	37	45	of	of	ADP
afs-95617	37	46	the	the	DET
afs-95617	37	47	snp	snp	ADJ
afs-95617	37	48	marker	marker	NOUN
afs-95617	37	49	effects	effect	NOUN
afs-95617	37	50	,	,	PUNCT
afs-95617	37	51	and	and	CCONJ
afs-95617	37	52	a	a	PRON
afs-95617	37	53	is	be	AUX
afs-95617	37	54	a	a	DET
afs-95617	37	55	vector	vector	NOUN
afs-95617	37	56	of	of	ADP
afs-95617	37	57	the	the	DET
afs-95617	37	58	effects	effect	NOUN
afs-95617	37	59	for	for	ADP
afs-95617	37	60	the	the	DET
afs-95617	37	61	rpg	rpg	NOUN
afs-95617	37	62	based	base	VERB
afs-95617	37	63	breeding	breeding	NOUN
afs-95617	37	64	values	value	NOUN
afs-95617	37	65	.	.	PUNCT
afs-95617	38	1	thus	thus	ADV
afs-95617	38	2	,	,	PUNCT
afs-95617	38	3	ug	ug	PROPN
afs-95617	38	4	=	=	ADJ
afs-95617	38	5	wu	wu	PROPN
afs-95617	38	6	.	.	PUNCT
afs-95617	39	1	it	it	PRON
afs-95617	39	2	is	be	AUX
afs-95617	39	3	assumed	assume	VERB
afs-95617	39	4	that	that	SCONJ
afs-95617	39	5	and	and	CCONJ
afs-95617	39	6	.	.	PUNCT
afs-95617	40	1	mme	mme	X
afs-95617	40	2	for	for	ADP
afs-95617	40	3	model	model	NOUN
afs-95617	40	4	[	[	X
afs-95617	40	5	2	2	NUM
afs-95617	40	6	]	]	PUNCT
afs-95617	40	7	can	can	AUX
afs-95617	40	8	be	be	AUX
afs-95617	40	9	written	write	VERB
afs-95617	40	10	as	as	ADP
afs-95617	40	11	(	(	PUNCT
afs-95617	40	12	3	3	NUM
afs-95617	40	13	)	)	PUNCT
afs-95617	40	14	where	where	SCONJ
afs-95617	40	15	and	and	CCONJ
afs-95617	40	16	.	.	PUNCT
afs-95617	40	17	denote	denote	VERB
afs-95617	40	18	the	the	DET
afs-95617	40	19	inverse	inverse	NOUN
afs-95617	40	20	of	of	ADP
afs-95617	40	21	the	the	DET
afs-95617	40	22	coefficient	coefficient	NOUN
afs-95617	40	23	matrix	matrix	NOUN
afs-95617	40	24	in	in	ADP
afs-95617	40	25	mme	mme	X
afs-95617	40	26	(	(	PUNCT
afs-95617	40	27	3	3	NUM
afs-95617	40	28	)	)	PUNCT
afs-95617	40	29	by	by	ADP
afs-95617	40	30	where	where	SCONJ
afs-95617	40	31	cuu	cuu	PROPN
afs-95617	40	32	is	be	AUX
afs-95617	40	33	the	the	DET
afs-95617	40	34	submatrix	submatrix	NOUN
afs-95617	40	35	associated	associate	VERB
afs-95617	40	36	with	with	ADP
afs-95617	40	37	the	the	DET
afs-95617	40	38	genetic	genetic	ADJ
afs-95617	40	39	effects	effect	NOUN
afs-95617	41	1	û	û	X
afs-95617	41	2	.	.	PUNCT
afs-95617	42	1	then	then	ADV
afs-95617	42	2	,	,	PUNCT
afs-95617	42	3	the	the	DET
afs-95617	42	4	estimated	estimate	VERB
afs-95617	42	5	genomic	genomic	ADJ
afs-95617	42	6	breeding	breeding	NOUN
afs-95617	42	7	values	value	NOUN
afs-95617	42	8	are	be	AUX
afs-95617	42	9	.	.	PUNCT
afs-95617	43	1	reliability	reliability	NOUN
afs-95617	43	2	for	for	ADP
afs-95617	43	3	the	the	DET
afs-95617	43	4	estimated	estimate	VERB
afs-95617	43	5	genomic	genomic	ADJ
afs-95617	43	6	breeding	breeding	NOUN
afs-95617	43	7	value	value	NOUN
afs-95617	43	8	of	of	ADP
afs-95617	43	9	genotyped	genotype	VERB
afs-95617	43	10	animal	animal	NOUN
afs-95617	43	11	i	i	PRON
afs-95617	43	12	is	be	AUX
afs-95617	43	13	(	(	PUNCT
afs-95617	43	14	4	4	NUM
afs-95617	43	15	)	)	PUNCT
afs-95617	43	16	where	where	SCONJ
afs-95617	43	17	{	{	PUNCT
afs-95617	43	18	gw}ii	gw}ii	NOUN
afs-95617	43	19	is	be	AUX
afs-95617	43	20	diagonal	diagonal	ADJ
afs-95617	43	21	element	element	NOUN
afs-95617	43	22	i	i	PRON
afs-95617	43	23	in	in	ADP
afs-95617	43	24	matrix	matrix	NOUN
afs-95617	43	25	gw	gw	PROPN
afs-95617	43	26	,	,	PUNCT
afs-95617	43	27	and	and	CCONJ
afs-95617	43	28	wi	wi	PROPN
afs-95617	43	29	is	be	AUX
afs-95617	43	30	the	the	DET
afs-95617	43	31	row	row	NOUN
afs-95617	43	32	in	in	ADP
afs-95617	43	33	the	the	DET
afs-95617	43	34	w	w	NOUN
afs-95617	43	35	matrix	matrix	NOUN
afs-95617	43	36	corresponding	correspond	VERB
afs-95617	43	37	to	to	ADP
afs-95617	43	38	the	the	DET
afs-95617	43	39	i	i	PROPN
afs-95617	43	40	-	-	PUNCT
afs-95617	43	41	th	th	X
afs-95617	43	42	genotyped	genotype	VERB
afs-95617	43	43	animal	animal	NOUN
afs-95617	43	44	.	.	PUNCT
afs-95617	44	1	note	note	VERB
afs-95617	44	2	that	that	SCONJ
afs-95617	44	3	the	the	DET
afs-95617	44	4	dimension	dimension	NOUN
afs-95617	44	5	of	of	ADP
afs-95617	44	6	mme	mme	PROPN
afs-95617	44	7	is	be	AUX
afs-95617	44	8	m+n	m+n	PROPN
afs-95617	44	9	,	,	PUNCT
afs-95617	44	10	i.e.	i.e.	X
afs-95617	44	11	,	,	PUNCT
afs-95617	44	12	size	size	NOUN
afs-95617	44	13	of	of	ADP
afs-95617	44	14	this	this	DET
afs-95617	44	15	matrix	matrix	NOUN
afs-95617	44	16	increases	increase	NOUN
afs-95617	44	17	by	by	ADP
afs-95617	44	18	the	the	DET
afs-95617	44	19	size	size	NOUN
afs-95617	44	20	of	of	ADP
afs-95617	44	21	number	number	NOUN
afs-95617	44	22	of	of	ADP
afs-95617	44	23	genotyped	genotype	VERB
afs-95617	44	24	animals	animal	NOUN
afs-95617	44	25	.	.	PUNCT
afs-95617	45	1	residual	residual	ADJ
afs-95617	45	2	polygenic	polygenic	ADJ
afs-95617	45	3	effect	effect	NOUN
afs-95617	45	4	by	by	ADP
afs-95617	45	5	monte	monte	PROPN
afs-95617	45	6	carlo	carlo	PROPN
afs-95617	45	7	the	the	DET
afs-95617	45	8	snp	snp	PROPN
afs-95617	45	9	-	-	ADJ
afs-95617	45	10	blup	blup	PROPN
afs-95617	45	11	model	model	NOUN
afs-95617	45	12	(	(	PUNCT
afs-95617	45	13	2	2	X
afs-95617	45	14	)	)	PUNCT
afs-95617	45	15	can	can	AUX
afs-95617	45	16	be	be	AUX
afs-95617	45	17	approximated	approximate	VERB
afs-95617	45	18	with	with	ADP
afs-95617	45	19	the	the	DET
afs-95617	45	20	aid	aid	NOUN
afs-95617	45	21	of	of	ADP
afs-95617	45	22	monte	monte	PROPN
afs-95617	45	23	carlo	carlo	PROPN
afs-95617	45	24	(	(	PUNCT
afs-95617	45	25	mc	mc	PROPN
afs-95617	45	26	)	)	PUNCT
afs-95617	45	27	sampling	sample	VERB
afs-95617	45	28	(	(	PUNCT
afs-95617	45	29	ben	ben	PROPN
afs-95617	45	30	zaabza	zaabza	PROPN
afs-95617	45	31	et	et	PROPN
afs-95617	45	32	al	al	PROPN
afs-95617	45	33	.	.	PROPN
afs-95617	45	34	2020	2020	NUM
afs-95617	45	35	):	):	PUNCT
afs-95617	45	36	(	(	PUNCT
afs-95617	45	37	5	5	NUM
afs-95617	45	38	)	)	PUNCT
afs-95617	45	39	where	where	SCONJ
afs-95617	45	40	,	,	PUNCT
afs-95617	45	41	u	u	NOUN
afs-95617	45	42	is	be	AUX
afs-95617	45	43	an	an	DET
afs-95617	45	44	n×nmc	n×nmc	ADJ
afs-95617	45	45	matrix	matrix	NOUN
afs-95617	45	46	of	of	ADP
afs-95617	45	47	the	the	DET
afs-95617	45	48	mc	mc	PROPN
afs-95617	45	49	samples	sample	NOUN
afs-95617	45	50	for	for	ADP
afs-95617	45	51	genotyped	genotype	VERB
afs-95617	45	52	animals	animal	NOUN
afs-95617	45	53	,	,	PUNCT
afs-95617	45	54	is	be	AUX
afs-95617	45	55	a	a	DET
afs-95617	45	56	vector	vector	NOUN
afs-95617	45	57	of	of	ADP
afs-95617	45	58	(	(	PUNCT
afs-95617	45	59	m+nmc	m+nmc	NOUN
afs-95617	45	60	)	)	PUNCT
afs-95617	45	61	unknown	unknown	ADJ
afs-95617	45	62	(	(	PUNCT
afs-95617	45	63	pseudo	pseudo	NOUN
afs-95617	45	64	)	)	PUNCT
afs-95617	45	65	marker	marker	NOUN
afs-95617	45	66	effects	effect	NOUN
afs-95617	45	67	,	,	PUNCT
afs-95617	45	68	of	of	ADP
afs-95617	45	69	which	which	PRON
afs-95617	45	70	m	m	VERB
afs-95617	45	71	are	be	AUX
afs-95617	45	72	due	due	ADJ
afs-95617	45	73	to	to	ADP
afs-95617	45	74	the	the	DET
afs-95617	45	75	snp	snp	ADJ
afs-95617	45	76	markers	marker	NOUN
afs-95617	45	77	and	and	CCONJ
afs-95617	45	78	nmc	nmc	PROPN
afs-95617	45	79	approximate	approximate	VERB
afs-95617	45	80	the	the	DET
afs-95617	45	81	rpg	rpg	NOUN
afs-95617	45	82	breeding	breeding	NOUN
afs-95617	45	83	values	value	NOUN
afs-95617	45	84	.	.	PUNCT
afs-95617	46	1	breeding	breeding	NOUN
afs-95617	46	2	values	value	NOUN
afs-95617	46	3	are	be	AUX
afs-95617	46	4	ug≈sv	ug≈sv	PRON
afs-95617	46	5	.	.	PUNCT
afs-95617	47	1	it	it	PRON
afs-95617	47	2	is	be	AUX
afs-95617	47	3	assumed	assume	VERB
afs-95617	47	4	that	that	PRON
afs-95617	47	5	.	.	PUNCT
afs-95617	48	1	we	we	PRON
afs-95617	48	2	use	use	VERB
afs-95617	48	3	mc	mc	PROPN
afs-95617	48	4	samples	sample	NOUN
afs-95617	48	5	y=1nµ+ug+e	y=1nµ+ug+e	PROPN
afs-95617	48	6	,	,	PUNCT
afs-95617	48	7	σu	σu	PROPN
afs-95617	48	8	2	2	NUM
afs-95617	48	9	σe	σe	NOUN
afs-95617	48	10	2	2	NUM
afs-95617	48	11	1	1	NUM
afs-95617	48	12	sk	sk	ADP
afs-95617	48	13	�	�	PROPN
afs-95617	48	14	1	1	NUM
afs-95617	48	15	-	-	PUNCT
afs-95617	48	16	2pk	2pk	NOUN
afs-95617	48	17	�	�	NOUN
afs-95617	48	18	1	1	NUM
afs-95617	48	19	sk	sk	ADP
afs-95617	48	20	�	�	PROPN
afs-95617	48	21	0	0	NUM
afs-95617	48	22	-	-	PUNCT
afs-95617	48	23	2pk	2pk	VERB
afs-95617	48	24	�	�	NOUN
afs-95617	48	25	1	1	NUM
afs-95617	48	26	sk	sk	ADP
afs-95617	48	27	�	�	PROPN
afs-95617	48	28	2	2	NUM
afs-95617	48	29	-	-	PUNCT
afs-95617	48	30	2pk	2pk	NOUN
afs-95617	48	31	�	�	PROPN
afs-95617	48	32	sk=	sk=	PROPN
afs-95617	48	33	�	�	PROPN
afs-95617	48	34	�	�	PROPN
afs-95617	48	35	2pl	2pl	ADJ
afs-95617	48	36	�	�	PROPN
afs-95617	48	37	1	1	NUM
afs-95617	48	38	-	-	SYM
afs-95617	48	39	pl	pl	X
afs-95617	48	40	�	�	PROPN
afs-95617	48	41	m	m	PROPN
afs-95617	48	42	l=1	l=1	PROPN
afs-95617	48	43	sk=	sk=	PROPN
afs-95617	48	44	�	�	PROPN
afs-95617	48	45	m2pk	m2pk	X
afs-95617	48	46	�	�	PROPN
afs-95617	48	47	1	1	NUM
afs-95617	48	48	-	-	PUNCT
afs-95617	48	49	pk	pk	NOUN
afs-95617	48	50	�	�	PROPN
afs-95617	48	51	y=1nµ+wu+e	y=1nµ+wu+e	NOUN
afs-95617	48	52	,	,	PUNCT
afs-95617	48	53	�	�	PROPN
afs-95617	48	54	1n	1n	NUM
afs-95617	48	55	'	'	PUNCT
afs-95617	48	56	r-11n	r-11n	NUM
afs-95617	48	57	1n	1n	NUM
afs-95617	48	58	'	'	PUNCT
afs-95617	48	59	r-1w	r-1w	PROPN
afs-95617	48	60	w'r-11n	w'r-11n	ADJ
afs-95617	48	61	w'r-1w+λω-1	w'r-1w+λω-1	PROPN
afs-95617	48	62	�	�	PROPN
afs-95617	48	63	�	�	PROPN
afs-95617	48	64	µ	µ	NUM
afs-95617	48	65	�	�	PROPN
afs-95617	48	66	u	u	PROPN
afs-95617	48	67	�	�	PROPN
afs-95617	48	68	�	�	PROPN
afs-95617	48	69	=	=	SYM
afs-95617	48	70	�	�	PROPN
afs-95617	48	71	1n	1n	PROPN
afs-95617	48	72	'	'	PUNCT
afs-95617	48	73	r-1y	r-1y	NOUN
afs-95617	48	74	w'r-1y	w'r-1y	PROPN
afs-95617	48	75	�	�	PROPN
afs-95617	48	76	,	,	PUNCT
afs-95617	48	77	ri	ri	PROPN
afs-95617	48	78	2=1	2=1	NUM
afs-95617	48	79	-	-	PUNCT
afs-95617	48	80	λ	λ	NOUN
afs-95617	48	81	wicuuwi	wicuuwi	NOUN
afs-95617	48	82	'	'	PUNCT
afs-95617	48	83	{	{	PUNCT
afs-95617	48	84	gw}ii	gw}ii	NOUN
afs-95617	48	85	,	,	PUNCT
afs-95617	48	86	y=1nµ+sv+e	y=1nµ+sv+e	NOUN
afs-95617	48	87	,	,	PUNCT
afs-95617	48	88	s=	s=	PROPN
afs-95617	48	89	�	�	PROPN
afs-95617	48	90	�	�	PROPN
afs-95617	48	91	(1	(1	ADJ
afs-95617	48	92	-	-	PUNCT
afs-95617	48	93	w)z	w)z	ADJ
afs-95617	48	94	√wu	√wu	PROPN
afs-95617	48	95	�	�	PROPN
afs-95617	48	96	v'=	v'=	NUM
afs-95617	48	97	�	�	PROPN
afs-95617	48	98	g	g	NOUN
afs-95617	48	99	'	'	PUNCT
afs-95617	48	100	gp	gp	NOUN
afs-95617	48	101	'	'	PUNCT
afs-95617	48	102	�	�	PROPN
afs-95617	48	103	w=[	w=[	PROPN
afs-95617	48	104	�	�	PROPN
afs-95617	48	105	(1	(1	PROPN
afs-95617	48	106	-	-	ADJ
afs-95617	48	107	w)z	w)z	ADJ
afs-95617	48	108	√win	√win	NOUN
afs-95617	48	109	]	]	X
afs-95617	48	110	g	g	ADP
afs-95617	48	111	~	~	SYM
afs-95617	48	112	n(0	n(0	PROPN
afs-95617	48	113	,	,	PUNCT
afs-95617	48	114	imσu	imσu	ADJ
afs-95617	48	115	2	2	NUM
afs-95617	48	116	)	)	PUNCT
afs-95617	48	117	a	a	DET
afs-95617	48	118	~	~	PROPN
afs-95617	48	119	n(0	n(0	PROPN
afs-95617	48	120	,	,	PUNCT
afs-95617	48	121	a22σu	a22σu	VERB
afs-95617	48	122	2	2	NUM
afs-95617	48	123	)	)	PUNCT
afs-95617	48	124	λ=	λ=	VERB
afs-95617	48	125	σe	σe	VERB
afs-95617	48	126	2	2	NUM
afs-95617	48	127	σu	σu	ADP
afs-95617	48	128	2	2	NUM
afs-95617	48	129	ω=	ω=	X
afs-95617	48	130	�	�	PROPN
afs-95617	48	131	i	i	PRON
afs-95617	48	132	m	m	VERB
afs-95617	48	133	0	0	NUM
afs-95617	48	134	0	0	NUM
afs-95617	48	135	a22	a22	PROPN
afs-95617	48	136	�	�	PROPN
afs-95617	48	137	�	�	PROPN
afs-95617	48	138	c	c	PROPN
afs-95617	48	139	μμ	μμ	PROPN
afs-95617	48	140	cμu	cμu	PROPN
afs-95617	48	141	cuμ	cuμ	PROPN
afs-95617	48	142	cuu	cuu	PROPN
afs-95617	48	143	�	�	PROPN
afs-95617	48	144	ug	ug	ADP
afs-95617	48	145	�	�	PROPN
afs-95617	48	146	=wu	=wu	NOUN
afs-95617	48	147	�	�	PROPN
afs-95617	48	148	v	v	PROPN
afs-95617	48	149	~	~	PROPN
afs-95617	48	150	n(0	n(0	PROPN
afs-95617	48	151	,	,	PUNCT
afs-95617	48	152	im+nmcσu	im+nmcσu	PROPN
afs-95617	48	153	2	2	NUM
afs-95617	48	154	)	)	PUNCT
afs-95617	48	155	ug	ug	ADP
afs-95617	48	156	~	~	X
afs-95617	48	157	n(0,gwσu	n(0,gwσu	ADJ
afs-95617	48	158	2	2	NUM
afs-95617	48	159	)	)	PUNCT
afs-95617	48	160	e	e	NOUN
afs-95617	48	161	~	~	SYM
afs-95617	48	162	n(0,rσe	n(0,rσe	PROPN
afs-95617	48	163	2	2	NUM
afs-95617	48	164	)	)	PUNCT
afs-95617	48	165	rii	rii	NOUN
afs-95617	48	166	=	=	SYM
afs-95617	48	167	1	1	NUM
afs-95617	48	168	wi	wi	PROPN
afs-95617	48	169	u	u	NOUN
afs-95617	48	170	'	'	PART
afs-95617	48	171	=	=	PUNCT
afs-95617	49	1	[	[	X
afs-95617	49	2	g	g	NOUN
afs-95617	49	3	'	'	PUNCT
afs-95617	49	4	a	a	DET
afs-95617	49	5	'	'	NOUN
afs-95617	49	6	]	]	X
afs-95617	49	7	agricultural	agricultural	ADJ
afs-95617	49	8	and	and	CCONJ
afs-95617	49	9	food	food	NOUN
afs-95617	49	10	science	science	PROPN
afs-95617	49	11	h.	h.	PROPN
afs-95617	49	12	ben	ben	PROPN
afs-95617	49	13	zaabza	zaabza	PROPN
afs-95617	49	14	et	et	PROPN
afs-95617	49	15	al	al	PROPN
afs-95617	49	16	.	.	PROPN
afs-95617	49	17	(	(	PUNCT
afs-95617	49	18	2020	2020	NUM
afs-95617	49	19	)	)	PUNCT
afs-95617	49	20	29	29	NUM
afs-95617	49	21	:	:	PUNCT
afs-95617	49	22	297–306	297–306	NUM
afs-95617	49	23	299	299	NUM
afs-95617	49	24	,	,	PUNCT
afs-95617	49	25	where	where	SCONJ
afs-95617	49	26	ai	ai	VERB
afs-95617	49	27	~	~	X
afs-95617	49	28	n(0,a22	n(0,a22	X
afs-95617	49	29	)	)	PUNCT
afs-95617	49	30	,	,	PUNCT
afs-95617	49	31	i=1,	i=1,	PROPN
afs-95617	49	32	…	…	SYM
afs-95617	49	33	,nmc	,nmc	PUNCT
afs-95617	49	34	,	,	PUNCT
afs-95617	49	35	and	and	CCONJ
afs-95617	49	36	nmc	nmc	PROPN
afs-95617	49	37	is	be	AUX
afs-95617	49	38	the	the	DET
afs-95617	49	39	number	number	NOUN
afs-95617	49	40	of	of	ADP
afs-95617	49	41	mc	mc	PROPN
afs-95617	49	42	samples	sample	NOUN
afs-95617	49	43	.	.	PUNCT
afs-95617	50	1	note	note	VERB
afs-95617	50	2	that	that	SCONJ
afs-95617	50	3	the	the	DET
afs-95617	50	4	variance	variance	NOUN
afs-95617	50	5	of	of	ADP
afs-95617	50	6	a	a	PRON
afs-95617	50	7	is	be	AUX
afs-95617	50	8	a22	a22	NOUN
afs-95617	50	9	=	=	SYM
afs-95617	50	10	var(a)=e(aa’)-e(a)e(a)’=e(aa	var(a)=e(aa’)-e(a)e(a)’=e(aa	NOUN
afs-95617	50	11	’	'	PUNCT
afs-95617	50	12	)	)	PUNCT
afs-95617	50	13	,	,	PUNCT
afs-95617	50	14	which	which	PRON
afs-95617	50	15	is	be	AUX
afs-95617	50	16	equal	equal	ADJ
afs-95617	50	17	to	to	ADP
afs-95617	50	18	uu	uu	VERB
afs-95617	50	19	’	'	PUNCT
afs-95617	50	20	,	,	PUNCT
afs-95617	50	21	where	where	SCONJ
afs-95617	50	22	the	the	DET
afs-95617	50	23	additive	additive	ADJ
afs-95617	50	24	genetic	genetic	ADJ
afs-95617	50	25	variance	variance	NOUN
afs-95617	50	26	is	be	AUX
afs-95617	50	27	assumed	assume	VERB
afs-95617	50	28	to	to	PART
afs-95617	50	29	be	be	AUX
afs-95617	50	30	equal	equal	ADJ
afs-95617	50	31	to	to	ADP
afs-95617	50	32	1	1	NUM
afs-95617	50	33	(	(	PUNCT
afs-95617	50	34	see	see	VERB
afs-95617	50	35	ben	ben	PROPN
afs-95617	50	36	zaabza	zaabza	PROPN
afs-95617	50	37	et	et	PROPN
afs-95617	50	38	al	al	PROPN
afs-95617	50	39	.	.	PROPN
afs-95617	50	40	2020	2020	NUM
afs-95617	50	41	)	)	PUNCT
afs-95617	50	42	.	.	PUNCT
afs-95617	51	1	the	the	DET
afs-95617	51	2	mme	mme	NOUN
afs-95617	51	3	for	for	ADP
afs-95617	51	4	the	the	DET
afs-95617	51	5	mc	mc	PROPN
afs-95617	51	6	-	-	PUNCT
afs-95617	51	7	snp	snp	ADJ
afs-95617	51	8	-	-	ADJ
afs-95617	51	9	blup	blup	NOUN
afs-95617	51	10	model	model	NOUN
afs-95617	51	11	(	(	PUNCT
afs-95617	51	12	5	5	NUM
afs-95617	51	13	)	)	PUNCT
afs-95617	51	14	is	be	AUX
afs-95617	51	15	(	(	PUNCT
afs-95617	51	16	6	6	NUM
afs-95617	51	17	)	)	PUNCT
afs-95617	51	18	denote	denote	VERB
afs-95617	51	19	the	the	DET
afs-95617	51	20	coefficient	coefficient	NOUN
afs-95617	51	21	matrix	matrix	NOUN
afs-95617	51	22	of	of	ADP
afs-95617	51	23	this	this	DET
afs-95617	51	24	mme	mme	NOUN
afs-95617	51	25	by	by	ADP
afs-95617	51	26	cs	cs	PROPN
afs-95617	51	27	and	and	CCONJ
afs-95617	51	28	its	its	PRON
afs-95617	51	29	inverse	inverse	NOUN
afs-95617	51	30	matrix	matrix	NOUN
afs-95617	51	31	elements	element	NOUN
afs-95617	51	32	as	as	ADP
afs-95617	51	33	.	.	PUNCT
afs-95617	51	34	approximate	approximate	ADJ
afs-95617	51	35	reliability	reliability	NOUN
afs-95617	51	36	for	for	ADP
afs-95617	51	37	ebv	ebv	NOUN
afs-95617	51	38	of	of	ADP
afs-95617	51	39	animal	animal	NOUN
afs-95617	51	40	i	i	PRON
afs-95617	51	41	is	be	AUX
afs-95617	51	42	,	,	PUNCT
afs-95617	51	43	(	(	PUNCT
afs-95617	51	44	7	7	X
afs-95617	51	45	)	)	PUNCT
afs-95617	51	46	where	where	SCONJ
afs-95617	51	47	si	si	PROPN
afs-95617	51	48	is	be	AUX
afs-95617	51	49	row	row	NOUN
afs-95617	51	50	i	i	PRON
afs-95617	51	51	in	in	ADP
afs-95617	51	52	s	s	PROPN
afs-95617	51	53	,	,	PUNCT
afs-95617	51	54	and	and	CCONJ
afs-95617	51	55	{	{	PUNCT
afs-95617	51	56	gs}ii	gs}ii	NOUN
afs-95617	51	57	is	be	AUX
afs-95617	51	58	diagonal	diagonal	ADJ
afs-95617	51	59	element	element	NOUN
afs-95617	51	60	i	i	PRON
afs-95617	51	61	in	in	ADP
afs-95617	51	62	the	the	DET
afs-95617	51	63	genomic	genomic	NOUN
afs-95617	51	64	relationship	relationship	NOUN
afs-95617	51	65	matrix	matrix	NOUN
afs-95617	51	66	g	g	ADP
afs-95617	51	67	=	=	ADJ
afs-95617	51	68	ss´=(1	ss´=(1	ADJ
afs-95617	51	69	-	-	PUNCT
afs-95617	51	70	w)zz´+wuu	w)zz´+wuu	NOUN
afs-95617	51	71	´	´	NOUN
afs-95617	51	72	.	.	PUNCT
afs-95617	52	1	when	when	SCONJ
afs-95617	52	2	nmc	nmc	PROPN
afs-95617	52	3	is	be	AUX
afs-95617	52	4	large	large	ADJ
afs-95617	52	5	,	,	PUNCT
afs-95617	52	6	uu	uu	ADJ
afs-95617	52	7	’	'	PUNCT
afs-95617	52	8	tends	tend	VERB
afs-95617	52	9	towards	towards	ADP
afs-95617	52	10	a22	a22	PROPN
afs-95617	52	11	.	.	PUNCT
afs-95617	53	1	for	for	ADP
afs-95617	53	2	more	more	ADJ
afs-95617	53	3	details	detail	NOUN
afs-95617	53	4	on	on	ADP
afs-95617	53	5	this	this	DET
afs-95617	53	6	model	model	NOUN
afs-95617	53	7	,	,	PUNCT
afs-95617	53	8	see	see	VERB
afs-95617	53	9	ben	ben	PROPN
afs-95617	53	10	zaabza	zaabza	PROPN
afs-95617	53	11	et	et	PROPN
afs-95617	53	12	al	al	PROPN
afs-95617	53	13	.	.	PROPN
afs-95617	54	1	(	(	PUNCT
afs-95617	54	2	2020	2020	NUM
afs-95617	54	3	)	)	PUNCT
afs-95617	54	4	.	.	PUNCT
afs-95617	55	1	algorithm	algorithm	NOUN
afs-95617	55	2	and	and	CCONJ
afs-95617	55	3	implementation	implementation	NOUN
afs-95617	55	4	in	in	ADP
afs-95617	55	5	the	the	DET
afs-95617	55	6	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	55	7	program	program	NOUN
afs-95617	55	8	,	,	PUNCT
afs-95617	55	9	centering	center	VERB
afs-95617	55	10	of	of	ADP
afs-95617	55	11	the	the	DET
afs-95617	55	12	z	z	NOUN
afs-95617	55	13	matrix	matrix	NOUN
afs-95617	55	14	can	can	AUX
afs-95617	55	15	be	be	AUX
afs-95617	55	16	based	base	VERB
afs-95617	55	17	either	either	CCONJ
afs-95617	55	18	on	on	ADP
afs-95617	55	19	the	the	DET
afs-95617	55	20	current	current	ADJ
afs-95617	55	21	genotypes	genotype	NOUN
afs-95617	55	22	or	or	CCONJ
afs-95617	55	23	on	on	ADP
afs-95617	55	24	given	give	VERB
afs-95617	55	25	allele	allele	NOUN
afs-95617	55	26	frequencies	frequency	NOUN
afs-95617	55	27	,	,	PUNCT
afs-95617	55	28	e.g.	e.g.	ADV
afs-95617	55	29	,	,	PUNCT
afs-95617	55	30	base	base	ADJ
afs-95617	55	31	population	population	NOUN
afs-95617	55	32	allele	allele	NOUN
afs-95617	55	33	frequencies	frequency	NOUN
afs-95617	55	34	estimated	estimate	VERB
afs-95617	55	35	by	by	ADP
afs-95617	55	36	a	a	DET
afs-95617	55	37	method	method	NOUN
afs-95617	55	38	like	like	ADP
afs-95617	55	39	the	the	DET
afs-95617	55	40	gls	gls	PROPN
afs-95617	55	41	model	model	NOUN
afs-95617	55	42	(	(	PUNCT
afs-95617	55	43	mcpeek	mcpeek	NOUN
afs-95617	55	44	et	et	PROPN
afs-95617	55	45	al	al	PROPN
afs-95617	55	46	.	.	PROPN
afs-95617	55	47	2004	2004	NUM
afs-95617	55	48	,	,	PUNCT
afs-95617	55	49	strandén	strandén	VERB
afs-95617	55	50	et	et	PROPN
afs-95617	55	51	al	al	PROPN
afs-95617	55	52	.	.	PROPN
afs-95617	55	53	2017	2017	NUM
afs-95617	55	54	)	)	PUNCT
afs-95617	55	55	.	.	PUNCT
afs-95617	56	1	ideally	ideally	ADV
afs-95617	56	2	,	,	PUNCT
afs-95617	56	3	the	the	DET
afs-95617	56	4	base	base	ADJ
afs-95617	56	5	population	population	NOUN
afs-95617	56	6	allele	allele	NOUN
afs-95617	56	7	frequencies	frequency	NOUN
afs-95617	56	8	are	be	AUX
afs-95617	56	9	used	use	VERB
afs-95617	56	10	in	in	ADP
afs-95617	56	11	the	the	DET
afs-95617	56	12	genomic	genomic	NOUN
afs-95617	56	13	relationship	relationship	NOUN
afs-95617	56	14	matrix	matrix	NOUN
afs-95617	56	15	(	(	PUNCT
afs-95617	56	16	vanraden	vanraden	NOUN
afs-95617	56	17	2008	2008	NUM
afs-95617	56	18	,	,	PUNCT
afs-95617	56	19	liu	liu	PROPN
afs-95617	56	20	et	et	PROPN
afs-95617	56	21	al	al	PROPN
afs-95617	56	22	.	.	PROPN
afs-95617	56	23	2017	2017	NUM
afs-95617	56	24	)	)	PUNCT
afs-95617	56	25	.	.	PUNCT
afs-95617	57	1	the	the	DET
afs-95617	57	2	rpg	rpg	NOUN
afs-95617	57	3	effect	effect	NOUN
afs-95617	57	4	can	can	AUX
afs-95617	57	5	be	be	AUX
afs-95617	57	6	included	include	VERB
afs-95617	57	7	into	into	ADP
afs-95617	57	8	the	the	DET
afs-95617	57	9	model	model	NOUN
afs-95617	57	10	by	by	ADP
afs-95617	57	11	two	two	NUM
afs-95617	57	12	alternative	alternative	ADJ
afs-95617	57	13	approaches	approach	NOUN
afs-95617	57	14	.	.	PUNCT
afs-95617	58	1	in	in	ADP
afs-95617	58	2	the	the	DET
afs-95617	58	3	exact	exact	ADJ
afs-95617	58	4	approach	approach	NOUN
afs-95617	58	5	,	,	PUNCT
afs-95617	58	6	the	the	DET
afs-95617	58	7	pre	pre	NOUN
afs-95617	58	8	calculated	calculate	VERB
afs-95617	58	9	a22	a22	PROPN
afs-95617	58	10	matrix	matrix	NOUN
afs-95617	58	11	is	be	AUX
afs-95617	58	12	read	read	VERB
afs-95617	58	13	into	into	ADP
afs-95617	58	14	memory	memory	NOUN
afs-95617	58	15	,	,	PUNCT
afs-95617	58	16	inverted	invert	VERB
afs-95617	58	17	,	,	PUNCT
afs-95617	58	18	and	and	CCONJ
afs-95617	58	19	used	use	VERB
afs-95617	58	20	in	in	ADP
afs-95617	58	21	the	the	DET
afs-95617	58	22	mme	mme	NOUN
afs-95617	58	23	(	(	PUNCT
afs-95617	58	24	3	3	NUM
afs-95617	58	25	)	)	PUNCT
afs-95617	58	26	.	.	PUNCT
afs-95617	59	1	in	in	ADP
afs-95617	59	2	the	the	DET
afs-95617	59	3	other	other	ADJ
afs-95617	59	4	approach	approach	NOUN
afs-95617	59	5	,	,	PUNCT
afs-95617	59	6	mc	mc	PROPN
afs-95617	59	7	sampling	sample	VERB
afs-95617	59	8	is	be	AUX
afs-95617	59	9	used	use	VERB
afs-95617	59	10	to	to	PART
afs-95617	59	11	approximate	approximate	VERB
afs-95617	59	12	the	the	DET
afs-95617	59	13	rpg	rpg	NOUN
afs-95617	59	14	effect	effect	NOUN
afs-95617	59	15	as	as	ADP
afs-95617	59	16	in	in	ADP
afs-95617	59	17	model	model	NOUN
afs-95617	59	18	(	(	PUNCT
afs-95617	59	19	5	5	NUM
afs-95617	59	20	)	)	PUNCT
afs-95617	59	21	and	and	CCONJ
afs-95617	59	22	mme	mme	X
afs-95617	59	23	(	(	PUNCT
afs-95617	59	24	6	6	NUM
afs-95617	59	25	)	)	PUNCT
afs-95617	59	26	.	.	PUNCT
afs-95617	60	1	when	when	SCONJ
afs-95617	60	2	size	size	NOUN
afs-95617	60	3	of	of	ADP
afs-95617	60	4	the	the	DET
afs-95617	60	5	a22	a22	PROPN
afs-95617	60	6	matrix	matrix	NOUN
afs-95617	60	7	is	be	AUX
afs-95617	60	8	large	large	ADJ
afs-95617	60	9	,	,	PUNCT
afs-95617	60	10	computing	compute	VERB
afs-95617	60	11	time	time	NOUN
afs-95617	60	12	by	by	ADP
afs-95617	60	13	the	the	DET
afs-95617	60	14	exact	exact	ADJ
afs-95617	60	15	approach	approach	NOUN
afs-95617	60	16	can	can	AUX
afs-95617	60	17	be	be	AUX
afs-95617	60	18	substantially	substantially	ADV
afs-95617	60	19	longer	long	ADJ
afs-95617	60	20	than	than	ADP
afs-95617	60	21	in	in	ADP
afs-95617	60	22	the	the	DET
afs-95617	60	23	approximate	approximate	ADJ
afs-95617	60	24	mc	mc	PROPN
afs-95617	60	25	-	-	PUNCT
afs-95617	60	26	snp	snp	ADJ
afs-95617	60	27	-	-	ADJ
afs-95617	60	28	blup	blup	NOUN
afs-95617	60	29	approach	approach	NOUN
afs-95617	60	30	,	,	PUNCT
afs-95617	60	31	because	because	SCONJ
afs-95617	60	32	the	the	DET
afs-95617	60	33	computing	computing	NOUN
afs-95617	60	34	time	time	NOUN
afs-95617	60	35	depends	depend	VERB
afs-95617	60	36	on	on	ADP
afs-95617	60	37	the	the	DET
afs-95617	60	38	size	size	NOUN
afs-95617	60	39	of	of	ADP
afs-95617	60	40	the	the	DET
afs-95617	60	41	mme	mme	X
afs-95617	60	42	coefficient	coefficient	NOUN
afs-95617	60	43	matrix	matrix	NOUN
afs-95617	60	44	.	.	PUNCT
afs-95617	61	1	however	however	ADV
afs-95617	61	2	,	,	PUNCT
afs-95617	61	3	in	in	ADP
afs-95617	61	4	contrast	contrast	NOUN
afs-95617	61	5	to	to	ADP
afs-95617	61	6	the	the	DET
afs-95617	61	7	exact	exact	ADJ
afs-95617	61	8	approach	approach	NOUN
afs-95617	61	9	,	,	PUNCT
afs-95617	61	10	the	the	DET
afs-95617	61	11	monte	monte	PROPN
afs-95617	61	12	carlo	carlo	PROPN
afs-95617	61	13	-	-	PUNCT
afs-95617	61	14	based	base	VERB
afs-95617	61	15	sampling	sampling	NOUN
afs-95617	61	16	method	method	NOUN
afs-95617	61	17	to	to	PART
afs-95617	61	18	estimate	estimate	VERB
afs-95617	61	19	the	the	DET
afs-95617	61	20	reliability	reliability	NOUN
afs-95617	61	21	of	of	ADP
afs-95617	61	22	the	the	DET
afs-95617	61	23	snp	snp	ADJ
afs-95617	61	24	-	-	ADJ
afs-95617	61	25	blup	blup	PROPN
afs-95617	61	26	model	model	NOUN
afs-95617	61	27	including	include	VERB
afs-95617	61	28	the	the	DET
afs-95617	61	29	rpg	rpg	NOUN
afs-95617	61	30	effect	effect	NOUN
afs-95617	61	31	is	be	AUX
afs-95617	61	32	very	very	ADV
afs-95617	61	33	fast	fast	ADJ
afs-95617	61	34	,	,	PUNCT
afs-95617	61	35	because	because	SCONJ
afs-95617	61	36	the	the	DET
afs-95617	61	37	sampling	sampling	NOUN
afs-95617	61	38	can	can	AUX
afs-95617	61	39	be	be	AUX
afs-95617	61	40	implemented	implement	VERB
afs-95617	61	41	efficiently	efficiently	ADV
afs-95617	61	42	by	by	ADP
afs-95617	61	43	using	use	VERB
afs-95617	61	44	the	the	DET
afs-95617	61	45	full	full	ADJ
afs-95617	61	46	pedigree	pedigree	NOUN
afs-95617	61	47	and	and	CCONJ
afs-95617	61	48	retaining	retain	VERB
afs-95617	61	49	only	only	ADV
afs-95617	61	50	samples	sample	NOUN
afs-95617	61	51	pertaining	pertain	VERB
afs-95617	61	52	to	to	ADP
afs-95617	61	53	the	the	DET
afs-95617	61	54	genotyped	genotype	VERB
afs-95617	61	55	animals	animal	NOUN
afs-95617	61	56	(	(	PUNCT
afs-95617	61	57	ben	ben	PROPN
afs-95617	61	58	zaabza	zaabza	PROPN
afs-95617	61	59	et	et	PROPN
afs-95617	61	60	al	al	PROPN
afs-95617	61	61	.	.	PROPN
afs-95617	61	62	2020	2020	NUM
afs-95617	61	63	)	)	PUNCT
afs-95617	61	64	.	.	PUNCT
afs-95617	62	1	a	a	DET
afs-95617	62	2	disadvantage	disadvantage	NOUN
afs-95617	62	3	of	of	ADP
afs-95617	62	4	mc	mc	PROPN
afs-95617	62	5	-	-	PUNCT
afs-95617	62	6	snp	snp	NOUN
afs-95617	62	7	-	-	NOUN
afs-95617	62	8	blup	blup	NOUN
afs-95617	62	9	is	be	AUX
afs-95617	62	10	that	that	SCONJ
afs-95617	62	11	the	the	DET
afs-95617	62	12	computed	compute	VERB
afs-95617	62	13	reliabilities	reliability	NOUN
afs-95617	62	14	are	be	AUX
afs-95617	62	15	inflated	inflate	VERB
afs-95617	62	16	when	when	SCONJ
afs-95617	62	17	the	the	DET
afs-95617	62	18	number	number	NOUN
afs-95617	62	19	of	of	ADP
afs-95617	62	20	mc	mc	PROPN
afs-95617	62	21	samples	sample	NOUN
afs-95617	62	22	is	be	AUX
afs-95617	62	23	too	too	ADV
afs-95617	62	24	low	low	ADJ
afs-95617	62	25	.	.	PUNCT
afs-95617	63	1	the	the	DET
afs-95617	63	2	inflation	inflation	NOUN
afs-95617	63	3	is	be	AUX
afs-95617	63	4	tolerable	tolerable	ADJ
afs-95617	63	5	when	when	SCONJ
afs-95617	63	6	the	the	DET
afs-95617	63	7	number	number	NOUN
afs-95617	63	8	of	of	ADP
afs-95617	63	9	mc	mc	PROPN
afs-95617	63	10	samples	sample	NOUN
afs-95617	63	11	is	be	AUX
afs-95617	63	12	about	about	ADP
afs-95617	63	13	the	the	DET
afs-95617	63	14	number	number	NOUN
afs-95617	63	15	of	of	ADP
afs-95617	63	16	snp	snp	ADJ
afs-95617	63	17	markers	marker	NOUN
afs-95617	63	18	and	and	CCONJ
afs-95617	63	19	the	the	DET
afs-95617	63	20	proportion	proportion	NOUN
afs-95617	63	21	of	of	ADP
afs-95617	63	22	rpg	rpg	ADJ
afs-95617	63	23	effect	effect	NOUN
afs-95617	64	1	w	w	NOUN
afs-95617	64	2	is	be	AUX
afs-95617	64	3	about	about	ADV
afs-95617	64	4	20	20	NUM
afs-95617	64	5	%	%	NOUN
afs-95617	64	6	or	or	CCONJ
afs-95617	64	7	less	less	ADJ
afs-95617	64	8	.	.	PUNCT
afs-95617	65	1	in	in	ADP
afs-95617	65	2	addition	addition	NOUN
afs-95617	65	3	,	,	PUNCT
afs-95617	65	4	the	the	DET
afs-95617	65	5	minimum	minimum	ADJ
afs-95617	65	6	number	number	NOUN
afs-95617	65	7	of	of	ADP
afs-95617	65	8	mc	mc	PROPN
afs-95617	65	9	samples	sample	NOUN
afs-95617	65	10	depends	depend	VERB
afs-95617	65	11	on	on	ADP
afs-95617	65	12	the	the	DET
afs-95617	65	13	number	number	NOUN
afs-95617	65	14	of	of	ADP
afs-95617	65	15	genotyped	genotype	VERB
afs-95617	65	16	animals	animal	NOUN
afs-95617	65	17	and	and	CCONJ
afs-95617	65	18	on	on	ADP
afs-95617	65	19	the	the	DET
afs-95617	65	20	population	population	NOUN
afs-95617	65	21	structure	structure	NOUN
afs-95617	65	22	(	(	PUNCT
afs-95617	65	23	ben	ben	PROPN
afs-95617	65	24	zaabza	zaabza	PROPN
afs-95617	65	25	et	et	PROPN
afs-95617	65	26	al	al	PROPN
afs-95617	65	27	.	.	PROPN
afs-95617	65	28	2020	2020	NUM
afs-95617	65	29	)	)	PUNCT
afs-95617	65	30	.	.	PUNCT
afs-95617	66	1	when	when	SCONJ
afs-95617	66	2	the	the	DET
afs-95617	66	3	rpg	rpg	NOUN
afs-95617	66	4	proportion	proportion	NOUN
afs-95617	66	5	w	w	NOUN
afs-95617	66	6	is	be	AUX
afs-95617	66	7	high	high	ADJ
afs-95617	66	8	,	,	PUNCT
afs-95617	66	9	the	the	DET
afs-95617	66	10	reliability	reliability	NOUN
afs-95617	66	11	calculations	calculation	NOUN
afs-95617	66	12	depend	depend	VERB
afs-95617	66	13	more	more	ADJ
afs-95617	66	14	on	on	ADP
afs-95617	66	15	mc	mc	NOUN
afs-95617	66	16	sampling	sample	VERB
afs-95617	66	17	.	.	PUNCT
afs-95617	67	1	thus	thus	ADV
afs-95617	67	2	,	,	PUNCT
afs-95617	67	3	a	a	DET
afs-95617	67	4	large	large	ADJ
afs-95617	67	5	rpg	rpg	NOUN
afs-95617	67	6	effect	effect	NOUN
afs-95617	67	7	proportion	proportion	NOUN
afs-95617	67	8	w	w	NOUN
afs-95617	67	9	needs	need	VERB
afs-95617	67	10	many	many	ADJ
afs-95617	67	11	mc	mc	PROPN
afs-95617	67	12	samples	sample	NOUN
afs-95617	67	13	to	to	PART
afs-95617	67	14	reduce	reduce	VERB
afs-95617	67	15	the	the	DET
afs-95617	67	16	inflation	inflation	NOUN
afs-95617	67	17	.	.	PUNCT
afs-95617	68	1	however	however	ADV
afs-95617	68	2	,	,	PUNCT
afs-95617	68	3	the	the	DET
afs-95617	68	4	number	number	NOUN
afs-95617	68	5	of	of	ADP
afs-95617	68	6	mc	mc	PROPN
afs-95617	68	7	samples	sample	NOUN
afs-95617	68	8	needed	need	VERB
afs-95617	68	9	to	to	PART
afs-95617	68	10	give	give	VERB
afs-95617	68	11	a	a	DET
afs-95617	68	12	sufficiently	sufficiently	ADV
afs-95617	68	13	accurate	accurate	ADJ
afs-95617	68	14	genomic	genomic	NOUN
afs-95617	68	15	reliability	reliability	NOUN
afs-95617	68	16	approximation	approximation	NOUN
afs-95617	68	17	is	be	AUX
afs-95617	68	18	typically	typically	ADV
afs-95617	68	19	much	much	ADV
afs-95617	68	20	less	less	ADJ
afs-95617	68	21	than	than	ADP
afs-95617	68	22	the	the	DET
afs-95617	68	23	number	number	NOUN
afs-95617	68	24	of	of	ADP
afs-95617	68	25	genotyped	genotype	VERB
afs-95617	68	26	animals	animal	NOUN
afs-95617	68	27	(	(	PUNCT
afs-95617	68	28	ben	ben	PROPN
afs-95617	68	29	zaabza	zaabza	PROPN
afs-95617	68	30	et	et	PROPN
afs-95617	68	31	al	al	PROPN
afs-95617	68	32	.	.	PROPN
afs-95617	68	33	2020	2020	NUM
afs-95617	68	34	)	)	PUNCT
afs-95617	68	35	.	.	PUNCT
afs-95617	69	1	in	in	ADP
afs-95617	69	2	snp_blup_rel	snp_blup_rel	ADV
afs-95617	69	3	,	,	PUNCT
afs-95617	69	4	all	all	DET
afs-95617	69	5	matrix	matrix	NOUN
afs-95617	69	6	inversions	inversion	NOUN
afs-95617	69	7	,	,	PUNCT
afs-95617	69	8	such	such	ADJ
afs-95617	69	9	as	as	ADP
afs-95617	69	10	the	the	DET
afs-95617	69	11	inversion	inversion	NOUN
afs-95617	69	12	of	of	ADP
afs-95617	69	13	the	the	DET
afs-95617	69	14	mme	mme	X
afs-95617	69	15	coefficient	coefficient	NOUN
afs-95617	69	16	matrix	matrix	NOUN
afs-95617	69	17	and	and	CCONJ
afs-95617	69	18	the	the	DET
afs-95617	69	19	a22	a22	PROPN
afs-95617	69	20	matrix	matrix	NOUN
afs-95617	69	21	,	,	PUNCT
afs-95617	69	22	use	use	VERB
afs-95617	69	23	lapack	lapack	NOUN
afs-95617	69	24	(	(	PUNCT
afs-95617	69	25	anderson	anderson	PROPN
afs-95617	69	26	et	et	PROPN
afs-95617	69	27	al	al	PROPN
afs-95617	69	28	.	.	PROPN
afs-95617	69	29	1999	1999	NUM
afs-95617	69	30	)	)	PUNCT
afs-95617	69	31	subroutines	subroutine	VERB
afs-95617	69	32	dpotrf	dpotrf	NOUN
afs-95617	69	33	and	and	CCONJ
afs-95617	69	34	dpotri	dpotri	PROPN
afs-95617	69	35	.	.	PUNCT
afs-95617	70	1	when	when	SCONJ
afs-95617	70	2	computing	compute	VERB
afs-95617	70	3	the	the	DET
afs-95617	70	4	mme	mme	NOUN
afs-95617	70	5	,	,	PUNCT
afs-95617	70	6	the	the	DET
afs-95617	70	7	w	w	NOUN
afs-95617	70	8	matrix	matrix	NOUN
afs-95617	70	9	in	in	ADP
afs-95617	70	10	(	(	PUNCT
afs-95617	70	11	3	3	NUM
afs-95617	70	12	)	)	PUNCT
afs-95617	70	13	or	or	CCONJ
afs-95617	70	14	s	s	X
afs-95617	70	15	matrix	matrix	NOUN
afs-95617	70	16	in	in	ADP
afs-95617	70	17	(	(	PUNCT
afs-95617	70	18	6	6	NUM
afs-95617	70	19	)	)	PUNCT
afs-95617	70	20	can	can	AUX
afs-95617	70	21	be	be	AUX
afs-95617	70	22	stored	store	VERB
afs-95617	70	23	in	in	ADP
afs-95617	70	24	memory	memory	NOUN
afs-95617	70	25	which	which	PRON
afs-95617	70	26	allows	allow	VERB
afs-95617	70	27	the	the	DET
afs-95617	70	28	use	use	NOUN
afs-95617	70	29	of	of	ADP
afs-95617	70	30	dgemm	dgemm	NOUN
afs-95617	70	31	subroutine	subroutine	NOUN
afs-95617	70	32	in	in	ADP
afs-95617	70	33	making	make	VERB
afs-95617	70	34	the	the	DET
afs-95617	70	35	matrix	matrix	NOUN
afs-95617	70	36	product	product	NOUN
afs-95617	70	37	w´r-1w	w´r-1w	NOUN
afs-95617	70	38	or	or	CCONJ
afs-95617	70	39	s´r-1s	s´r-1s	NOUN
afs-95617	70	40	efficiently	efficiently	ADV
afs-95617	70	41	.	.	PUNCT
afs-95617	71	1	the	the	DET
afs-95617	71	2	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	71	3	implementation	implementation	NOUN
afs-95617	71	4	employs	employ	VERB
afs-95617	71	5	lapack	lapack	NOUN
afs-95617	71	6	subroutines	subroutine	NOUN
afs-95617	71	7	from	from	ADP
afs-95617	71	8	the	the	DET
afs-95617	71	9	intel	intel	PROPN
afs-95617	71	10	math	math	PROPN
afs-95617	71	11	kernel	kernel	PROPN
afs-95617	71	12	library	library	PROPN
afs-95617	71	13	(	(	PUNCT
afs-95617	71	14	intel	intel	PROPN
afs-95617	71	15	math	math	PROPN
afs-95617	71	16	kernel	kernel	PROPN
afs-95617	71	17	library	library	PROPN
afs-95617	71	18	reference	reference	NOUN
afs-95617	71	19	manual	manual	NOUN
afs-95617	71	20	2014	2014	NUM
afs-95617	71	21	)	)	PUNCT
afs-95617	71	22	.	.	PUNCT
afs-95617	72	1	these	these	PRON
afs-95617	72	2	allow	allow	VERB
afs-95617	72	3	taking	take	VERB
afs-95617	72	4	advantage	advantage	NOUN
afs-95617	72	5	of	of	ADP
afs-95617	72	6	parallel	parallel	ADJ
afs-95617	72	7	computing	computing	NOUN
afs-95617	72	8	on	on	ADP
afs-95617	72	9	a	a	DET
afs-95617	72	10	multi	multi	ADJ
afs-95617	72	11	-	-	ADJ
afs-95617	72	12	core	core	ADJ
afs-95617	72	13	computer	computer	NOUN
afs-95617	72	14	.	.	PUNCT
afs-95617	73	1	input	input	NOUN
afs-95617	73	2	files	file	VERB
afs-95617	73	3	a	a	DET
afs-95617	73	4	short	short	ADJ
afs-95617	73	5	description	description	NOUN
afs-95617	73	6	of	of	ADP
afs-95617	73	7	the	the	DET
afs-95617	73	8	input	input	NOUN
afs-95617	73	9	files	file	NOUN
afs-95617	73	10	and	and	CCONJ
afs-95617	73	11	some	some	DET
afs-95617	73	12	options	option	NOUN
afs-95617	73	13	are	be	AUX
afs-95617	73	14	in	in	ADP
afs-95617	73	15	tables	table	NOUN
afs-95617	73	16	1	1	NUM
afs-95617	73	17	and	and	CCONJ
afs-95617	73	18	2	2	NUM
afs-95617	73	19	.	.	X
afs-95617	74	1	the	the	DET
afs-95617	74	2	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	74	3	program	program	NOUN
afs-95617	74	4	can	can	AUX
afs-95617	74	5	be	be	AUX
afs-95617	74	6	given	give	VERB
afs-95617	74	7	six	six	NUM
afs-95617	74	8	different	different	ADJ
afs-95617	74	9	input	input	NOUN
afs-95617	74	10	files	file	NOUN
afs-95617	74	11	depending	depend	VERB
afs-95617	74	12	on	on	ADP
afs-95617	74	13	the	the	DET
afs-95617	74	14	model	model	NOUN
afs-95617	74	15	and	and	CCONJ
afs-95617	74	16	computational	computational	ADJ
afs-95617	74	17	approach	approach	NOUN
afs-95617	74	18	:	:	PUNCT
afs-95617	74	19	1	1	X
afs-95617	74	20	)	)	PUNCT
afs-95617	74	21	a	a	DET
afs-95617	74	22	genotype	genotype	NOUN
afs-95617	74	23	data	data	NOUN
afs-95617	74	24	file	file	NOUN
afs-95617	74	25	.	.	PUNCT
afs-95617	75	1	this	this	PRON
afs-95617	75	2	always	always	ADV
afs-95617	75	3	needs	need	VERB
afs-95617	75	4	to	to	PART
afs-95617	75	5	be	be	AUX
afs-95617	75	6	given	give	VERB
afs-95617	75	7	.	.	PUNCT
afs-95617	76	1	in	in	ADP
afs-95617	76	2	the	the	DET
afs-95617	76	3	file	file	NOUN
afs-95617	76	4	,	,	PUNCT
afs-95617	76	5	the	the	DET
afs-95617	76	6	first	first	ADJ
afs-95617	76	7	column	column	NOUN
afs-95617	76	8	is	be	AUX
afs-95617	76	9	the	the	DET
afs-95617	76	10	individual	individual	ADJ
afs-95617	76	11	i	i	PROPN
afs-95617	76	12	d	d	PROPN
afs-95617	76	13	code	code	PROPN
afs-95617	76	14	,	,	PUNCT
afs-95617	76	15	followed	follow	VERB
afs-95617	76	16	by	by	ADP
afs-95617	76	17	the	the	DET
afs-95617	76	18	marker	marker	NOUN
afs-95617	76	19	genotypes	genotype	NOUN
afs-95617	76	20	.	.	PUNCT
afs-95617	77	1	the	the	DET
afs-95617	77	2	file	file	NOUN
afs-95617	77	3	format	format	NOUN
afs-95617	77	4	is	be	AUX
afs-95617	77	5	described	describe	VERB
afs-95617	77	6	later	later	ADV
afs-95617	77	7	.	.	PUNCT
afs-95617	78	1	2	2	X
afs-95617	78	2	)	)	PUNCT
afs-95617	78	3	an	an	DET
afs-95617	78	4	optional	optional	ADJ
afs-95617	78	5	(	(	PUNCT
afs-95617	78	6	-a	-a	NOUN
afs-95617	78	7	)	)	PUNCT
afs-95617	78	8	file	file	NOUN
afs-95617	78	9	having	have	VERB
afs-95617	78	10	the	the	DET
afs-95617	78	11	allele	allele	NOUN
afs-95617	78	12	frequencies	frequency	NOUN
afs-95617	78	13	can	can	AUX
afs-95617	78	14	be	be	AUX
afs-95617	78	15	given	give	VERB
afs-95617	78	16	to	to	PART
afs-95617	78	17	center	center	VERB
afs-95617	78	18	the	the	DET
afs-95617	78	19	genotypes	genotype	NOUN
afs-95617	78	20	.	.	PUNCT
afs-95617	79	1	the	the	DET
afs-95617	79	2	file	file	NOUN
afs-95617	79	3	format	format	NOUN
afs-95617	79	4	is	be	AUX
afs-95617	79	5	described	describe	VERB
afs-95617	79	6	later	later	ADV
afs-95617	79	7	.	.	PUNCT
afs-95617	80	1	�	�	PROPN
afs-95617	80	2	1n	1n	PROPN
afs-95617	80	3	'	'	PUNCT
afs-95617	80	4	r-11n	r-11n	NUM
afs-95617	80	5	1n	1n	NUM
afs-95617	80	6	'	'	PUNCT
afs-95617	80	7	r-1s	r-1s	NOUN
afs-95617	80	8	s'r-11n	s'r-11n	X
afs-95617	80	9	s'r-1s+λim+nmc	s'r-1s+λim+nmc	PROPN
afs-95617	80	10	�	�	PROPN
afs-95617	80	11	�	�	PROPN
afs-95617	80	12	µ	µ	NUM
afs-95617	80	13	�	�	PROPN
afs-95617	80	14	v	v	PROPN
afs-95617	80	15	�	�	PROPN
afs-95617	80	16	�	�	PROPN
afs-95617	80	17	=	=	SYM
afs-95617	80	18	�	�	PROPN
afs-95617	80	19	1n	1n	PROPN
afs-95617	80	20	'	'	PUNCT
afs-95617	80	21	r-1y	r-1y	X
afs-95617	80	22	s'r-1y	s'r-1y	PROPN
afs-95617	80	23	�	�	PROPN
afs-95617	80	24	ri	ri	PROPN
afs-95617	80	25	2=1	2=1	NUM
afs-95617	80	26	-	-	PUNCT
afs-95617	80	27	λ	λ	NOUN
afs-95617	80	28	sics	sic	NOUN
afs-95617	80	29	vvsi	vvsi	NOUN
afs-95617	80	30	'	'	PUNCT
afs-95617	80	31	{	{	PUNCT
afs-95617	80	32	gs}ii	gs}ii	ADJ
afs-95617	80	33	cs	cs	ADJ
afs-95617	80	34	-1=	-1=	PUNCT
afs-95617	80	35	�	�	PROPN
afs-95617	80	36	cs	cs	PROPN
afs-95617	80	37	µµ	µµ	ADP
afs-95617	80	38	cs	cs	PROPN
afs-95617	80	39	µv	µv	PROPN
afs-95617	80	40	cs	cs	PROPN
afs-95617	80	41	vµ	vµ	PROPN
afs-95617	80	42	cs	cs	PROPN
afs-95617	80	43	vv	vv	PROPN
afs-95617	80	44	�	�	PROPN
afs-95617	80	45	u=	u=	ADJ
afs-95617	80	46	1	1	NUM
afs-95617	80	47	�	�	PROPN
afs-95617	80	48	nmc	nmc	NOUN
afs-95617	81	1	[	[	X
afs-95617	81	2	a1	a1	NOUN
afs-95617	81	3	⋯	⋯	VERB
afs-95617	81	4	anmc	anmc	PROPN
afs-95617	81	5	]	]	PUNCT
afs-95617	81	6	agricultural	agricultural	ADJ
afs-95617	81	7	and	and	CCONJ
afs-95617	81	8	food	food	NOUN
afs-95617	81	9	science	science	PROPN
afs-95617	81	10	h.	h.	PROPN
afs-95617	81	11	ben	ben	PROPN
afs-95617	81	12	zaabza	zaabza	PROPN
afs-95617	81	13	et	et	PROPN
afs-95617	81	14	al	al	PROPN
afs-95617	81	15	.	.	PROPN
afs-95617	82	1	(	(	PUNCT
afs-95617	82	2	2020	2020	NUM
afs-95617	82	3	)	)	PUNCT
afs-95617	82	4	29	29	NUM
afs-95617	82	5	:	:	PUNCT
afs-95617	83	1	297–306	297–306	NUM
afs-95617	83	2	300	300	NUM
afs-95617	83	3	3	3	NUM
afs-95617	83	4	)	)	PUNCT
afs-95617	83	5	an	an	DET
afs-95617	83	6	optional	optional	ADJ
afs-95617	83	7	(	(	PUNCT
afs-95617	83	8	-o	-o	X
afs-95617	83	9	)	)	PUNCT
afs-95617	83	10	data	datum	NOUN
afs-95617	83	11	file	file	NOUN
afs-95617	83	12	is	be	AUX
afs-95617	83	13	needed	need	VERB
afs-95617	83	14	when	when	SCONJ
afs-95617	83	15	weights	weight	NOUN
afs-95617	83	16	or	or	CCONJ
afs-95617	83	17	observations	observation	NOUN
afs-95617	83	18	are	be	AUX
afs-95617	83	19	specified	specify	VERB
afs-95617	83	20	.	.	PUNCT
afs-95617	84	1	if	if	SCONJ
afs-95617	84	2	this	this	DET
afs-95617	84	3	file	file	NOUN
afs-95617	84	4	is	be	AUX
afs-95617	84	5	not	not	PART
afs-95617	84	6	given	give	VERB
afs-95617	84	7	,	,	PUNCT
afs-95617	84	8	all	all	DET
afs-95617	84	9	genotyped	genotyped	ADJ
afs-95617	84	10	animals	animal	NOUN
afs-95617	84	11	are	be	AUX
afs-95617	84	12	assumed	assume	VERB
afs-95617	84	13	to	to	PART
afs-95617	84	14	have	have	VERB
afs-95617	84	15	an	an	DET
afs-95617	84	16	observation	observation	NOUN
afs-95617	84	17	.	.	PUNCT
afs-95617	85	1	the	the	DET
afs-95617	85	2	data	data	NOUN
afs-95617	85	3	file	file	NOUN
afs-95617	85	4	must	must	AUX
afs-95617	85	5	include	include	VERB
afs-95617	85	6	at	at	ADP
afs-95617	85	7	least	least	ADJ
afs-95617	85	8	the	the	DET
afs-95617	85	9	individual	individual	ADJ
afs-95617	85	10	i	i	PROPN
afs-95617	85	11	d	d	PROPN
afs-95617	85	12	code	code	PROPN
afs-95617	85	13	.	.	PUNCT
afs-95617	86	1	the	the	DET
afs-95617	86	2	default	default	NOUN
afs-95617	86	3	column	column	NOUN
afs-95617	86	4	for	for	ADP
afs-95617	86	5	the	the	DET
afs-95617	86	6	i	i	PROPN
afs-95617	86	7	d	d	PROPN
afs-95617	86	8	code	code	PROPN
afs-95617	86	9	is	be	AUX
afs-95617	86	10	one	one	NUM
afs-95617	86	11	.	.	PUNCT
afs-95617	87	1	when	when	SCONJ
afs-95617	87	2	no	no	DET
afs-95617	87	3	column	column	NOUN
afs-95617	87	4	for	for	ADP
afs-95617	87	5	observation	observation	NOUN
afs-95617	87	6	weight	weight	NOUN
afs-95617	87	7	is	be	AUX
afs-95617	87	8	given	give	VERB
afs-95617	87	9	,	,	PUNCT
afs-95617	87	10	default	default	NOUN
afs-95617	87	11	weight	weight	NOUN
afs-95617	87	12	is	be	AUX
afs-95617	87	13	one	one	NUM
afs-95617	87	14	.	.	PUNCT
afs-95617	88	1	thus	thus	ADV
afs-95617	88	2	,	,	PUNCT
afs-95617	88	3	when	when	SCONJ
afs-95617	88	4	a	a	DET
afs-95617	88	5	data	data	NOUN
afs-95617	88	6	file	file	NOUN
afs-95617	88	7	is	be	AUX
afs-95617	88	8	given	give	VERB
afs-95617	88	9	,	,	PUNCT
afs-95617	88	10	genotyped	genotype	VERB
afs-95617	88	11	animals	animal	NOUN
afs-95617	88	12	that	that	PRON
afs-95617	88	13	appear	appear	VERB
afs-95617	88	14	in	in	ADP
afs-95617	88	15	the	the	DET
afs-95617	88	16	data	data	NOUN
afs-95617	88	17	file	file	NOUN
afs-95617	88	18	can	can	AUX
afs-95617	88	19	be	be	AUX
afs-95617	88	20	considered	consider	VERB
afs-95617	88	21	reference	reference	NOUN
afs-95617	88	22	animals	animal	NOUN
afs-95617	88	23	and	and	CCONJ
afs-95617	88	24	those	those	PRON
afs-95617	88	25	without	without	ADP
afs-95617	88	26	observation	observation	NOUN
afs-95617	88	27	can	can	AUX
afs-95617	88	28	be	be	AUX
afs-95617	88	29	considered	consider	VERB
afs-95617	88	30	candidate	candidate	NOUN
afs-95617	88	31	animals	animal	NOUN
afs-95617	88	32	.	.	PUNCT
afs-95617	89	1	4	4	X
afs-95617	89	2	)	)	PUNCT
afs-95617	89	3	an	an	DET
afs-95617	89	4	optional	optional	ADJ
afs-95617	89	5	(	(	PUNCT
afs-95617	89	6	-a	-a	NOUN
afs-95617	89	7	)	)	PUNCT
afs-95617	89	8	file	file	NOUN
afs-95617	89	9	having	have	VERB
afs-95617	89	10	a22	a22	NOUN
afs-95617	89	11	matrix	matrix	NOUN
afs-95617	89	12	is	be	AUX
afs-95617	89	13	needed	need	VERB
afs-95617	89	14	when	when	SCONJ
afs-95617	89	15	the	the	DET
afs-95617	89	16	rpg	rpg	NOUN
afs-95617	89	17	effect	effect	NOUN
afs-95617	89	18	is	be	AUX
afs-95617	89	19	accounted	account	VERB
afs-95617	89	20	exactly	exactly	ADV
afs-95617	89	21	in	in	ADP
afs-95617	89	22	the	the	DET
afs-95617	89	23	model	model	NOUN
afs-95617	89	24	reliability	reliability	NOUN
afs-95617	89	25	calculations	calculation	NOUN
afs-95617	89	26	.	.	PUNCT
afs-95617	90	1	the	the	DET
afs-95617	90	2	file	file	NOUN
afs-95617	90	3	format	format	NOUN
afs-95617	90	4	is	be	AUX
afs-95617	90	5	described	describe	VERB
afs-95617	90	6	later	later	ADV
afs-95617	90	7	.	.	PUNCT
afs-95617	91	1	5	5	X
afs-95617	91	2	)	)	PUNCT
afs-95617	91	3	an	an	DET
afs-95617	91	4	optional	optional	ADJ
afs-95617	91	5	(	(	PUNCT
afs-95617	91	6	-ped	-ped	NUM
afs-95617	91	7	)	)	PUNCT
afs-95617	91	8	pedigree	pedigree	ADJ
afs-95617	91	9	file	file	NOUN
afs-95617	91	10	is	be	AUX
afs-95617	91	11	needed	need	VERB
afs-95617	91	12	when	when	SCONJ
afs-95617	91	13	an	an	DET
afs-95617	91	14	rpg	rpg	NOUN
afs-95617	91	15	effect	effect	NOUN
afs-95617	91	16	is	be	AUX
afs-95617	91	17	accounted	account	VERB
afs-95617	91	18	by	by	ADP
afs-95617	91	19	the	the	DET
afs-95617	91	20	mc	mc	PROPN
afs-95617	91	21	-	-	PUNCT
afs-95617	91	22	snp	snp	ADJ
afs-95617	91	23	-	-	ADJ
afs-95617	91	24	blup	blup	NOUN
afs-95617	91	25	approach	approach	NOUN
afs-95617	91	26	.	.	PUNCT
afs-95617	92	1	the	the	DET
afs-95617	92	2	file	file	NOUN
afs-95617	92	3	has	have	VERB
afs-95617	92	4	three	three	NUM
afs-95617	92	5	columns	column	NOUN
afs-95617	92	6	having	have	VERB
afs-95617	92	7	integer	integer	NOUN
afs-95617	92	8	numbers	number	NOUN
afs-95617	92	9	for	for	ADP
afs-95617	92	10	individual	individual	ADJ
afs-95617	92	11	,	,	PUNCT
afs-95617	92	12	sire	sire	NOUN
afs-95617	92	13	,	,	PUNCT
afs-95617	92	14	and	and	CCONJ
afs-95617	92	15	dam	dam	PROPN
afs-95617	92	16	i	i	PROPN
afs-95617	92	17	d	d	PROPN
afs-95617	92	18	codes	code	NOUN
afs-95617	92	19	.	.	PUNCT
afs-95617	93	1	6	6	NUM
afs-95617	93	2	)	)	PUNCT
afs-95617	93	3	an	an	DET
afs-95617	93	4	optional	optional	ADJ
afs-95617	93	5	(	(	PUNCT
afs-95617	93	6	-f	-f	NUM
afs-95617	93	7	)	)	PUNCT
afs-95617	93	8	file	file	NOUN
afs-95617	93	9	having	have	VERB
afs-95617	93	10	inbreeding	inbreede	VERB
afs-95617	93	11	coefficients	coefficient	NOUN
afs-95617	93	12	can	can	AUX
afs-95617	93	13	be	be	AUX
afs-95617	93	14	given	give	VERB
afs-95617	93	15	to	to	PART
afs-95617	93	16	account	account	VERB
afs-95617	93	17	for	for	ADP
afs-95617	93	18	inbreeding	inbreede	VERB
afs-95617	93	19	coefficients	coefficient	NOUN
afs-95617	93	20	(	(	PUNCT
afs-95617	93	21	mendelian	mendelian	ADJ
afs-95617	93	22	sampling	sampling	NOUN
afs-95617	93	23	term	term	NOUN
afs-95617	93	24	)	)	PUNCT
afs-95617	93	25	when	when	SCONJ
afs-95617	93	26	simulating	simulate	VERB
afs-95617	93	27	the	the	DET
afs-95617	93	28	mc	mc	PROPN
afs-95617	93	29	samples	sample	NOUN
afs-95617	93	30	in	in	ADP
afs-95617	93	31	mc	mc	PROPN
afs-95617	93	32	-	-	PUNCT
afs-95617	93	33	snp	snp	NOUN
afs-95617	93	34	-	-	NOUN
afs-95617	93	35	blup	blup	NOUN
afs-95617	93	36	.	.	PUNCT
afs-95617	94	1	in	in	ADP
afs-95617	94	2	this	this	DET
afs-95617	94	3	file	file	NOUN
afs-95617	94	4	,	,	PUNCT
afs-95617	94	5	the	the	DET
afs-95617	94	6	first	first	ADJ
afs-95617	94	7	column	column	NOUN
afs-95617	94	8	has	have	VERB
afs-95617	94	9	the	the	DET
afs-95617	94	10	individual	individual	ADJ
afs-95617	94	11	i	i	PROPN
afs-95617	94	12	d	d	PROPN
afs-95617	94	13	code	code	PROPN
afs-95617	94	14	,	,	PUNCT
afs-95617	94	15	and	and	CCONJ
afs-95617	94	16	the	the	DET
afs-95617	94	17	inbreeding	inbreede	VERB
afs-95617	94	18	coefficient	coefficient	NOUN
afs-95617	94	19	is	be	AUX
afs-95617	94	20	by	by	ADP
afs-95617	94	21	default	default	NOUN
afs-95617	94	22	in	in	ADP
afs-95617	94	23	the	the	DET
afs-95617	94	24	third	third	ADJ
afs-95617	94	25	column	column	NOUN
afs-95617	94	26	.	.	PUNCT
afs-95617	95	1	the	the	DET
afs-95617	95	2	marker	marker	NOUN
afs-95617	95	3	data	datum	NOUN
afs-95617	95	4	in	in	ADP
afs-95617	95	5	the	the	DET
afs-95617	95	6	genotype	genotype	NOUN
afs-95617	95	7	file	file	NOUN
afs-95617	95	8	is	be	AUX
afs-95617	95	9	used	use	VERB
afs-95617	95	10	to	to	PART
afs-95617	95	11	build	build	VERB
afs-95617	95	12	the	the	DET
afs-95617	95	13	z	z	NOUN
afs-95617	95	14	matrix	matrix	NOUN
afs-95617	95	15	.	.	PUNCT
afs-95617	96	1	by	by	ADP
afs-95617	96	2	default	default	NOUN
afs-95617	96	3	,	,	PUNCT
afs-95617	96	4	the	the	DET
afs-95617	96	5	file	file	NOUN
afs-95617	96	6	is	be	AUX
afs-95617	96	7	assumed	assume	VERB
afs-95617	96	8	to	to	PART
afs-95617	96	9	have	have	VERB
afs-95617	96	10	the	the	DET
afs-95617	96	11	allele	allele	NOUN
afs-95617	96	12	counts	count	NOUN
afs-95617	96	13	:	:	PUNCT
afs-95617	96	14	zero	zero	NUM
afs-95617	96	15	,	,	PUNCT
afs-95617	96	16	one	one	NUM
afs-95617	96	17	and	and	CCONJ
afs-95617	96	18	two	two	NUM
afs-95617	96	19	for	for	ADP
afs-95617	96	20	each	each	DET
afs-95617	96	21	genotype	genotype	NOUN
afs-95617	96	22	.	.	PUNCT
afs-95617	97	1	there	there	PRON
afs-95617	97	2	is	be	VERB
afs-95617	97	3	some	some	DET
afs-95617	97	4	flexibility	flexibility	NOUN
afs-95617	97	5	in	in	ADP
afs-95617	97	6	the	the	DET
afs-95617	97	7	genotype	genotype	NOUN
afs-95617	97	8	file	file	NOUN
afs-95617	97	9	format	format	NOUN
afs-95617	97	10	.	.	PUNCT
afs-95617	98	1	however	however	ADV
afs-95617	98	2	,	,	PUNCT
afs-95617	98	3	for	for	ADP
afs-95617	98	4	the	the	DET
afs-95617	98	5	option	option	NOUN
afs-95617	98	6	“	"	PUNCT
afs-95617	98	7	-m	-m	X
afs-95617	98	8	raw	raw	ADJ
afs-95617	98	9	”	"	PUNCT
afs-95617	98	10	the	the	DET
afs-95617	98	11	genotypes	genotype	NOUN
afs-95617	98	12	are	be	AUX
afs-95617	98	13	floating	float	VERB
afs-95617	98	14	point	point	NOUN
afs-95617	98	15	numbers	number	NOUN
afs-95617	98	16	which	which	PRON
afs-95617	98	17	allows	allow	VERB
afs-95617	98	18	reading	read	VERB
afs-95617	98	19	a	a	DET
afs-95617	98	20	pre	pre	ADJ
afs-95617	98	21	-	-	ADJ
afs-95617	98	22	calculated	calculated	ADJ
afs-95617	98	23	user	user	NOUN
afs-95617	98	24	specified	specify	VERB
afs-95617	98	25	z	z	NOUN
afs-95617	98	26	matrix	matrix	NOUN
afs-95617	98	27	.	.	PUNCT
afs-95617	99	1	by	by	ADP
afs-95617	99	2	default	default	NOUN
afs-95617	99	3	,	,	PUNCT
afs-95617	99	4	the	the	DET
afs-95617	99	5	genotype	genotype	NOUN
afs-95617	99	6	file	file	NOUN
afs-95617	99	7	is	be	AUX
afs-95617	99	8	assumed	assume	VERB
afs-95617	99	9	to	to	PART
afs-95617	99	10	have	have	VERB
afs-95617	99	11	space	space	NOUN
afs-95617	99	12	delimited	delimit	VERB
afs-95617	99	13	numbers	number	NOUN
afs-95617	99	14	for	for	ADP
afs-95617	99	15	the	the	DET
afs-95617	99	16	genotypes	genotype	NOUN
afs-95617	99	17	of	of	ADP
afs-95617	99	18	an	an	DET
afs-95617	99	19	individual	individual	NOUN
afs-95617	99	20	on	on	ADP
afs-95617	99	21	the	the	DET
afs-95617	99	22	same	same	ADJ
afs-95617	99	23	line	line	NOUN
afs-95617	99	24	.	.	PUNCT
afs-95617	100	1	the	the	DET
afs-95617	100	2	first	first	ADJ
afs-95617	100	3	column	column	NOUN
afs-95617	100	4	in	in	ADP
afs-95617	100	5	the	the	DET
afs-95617	100	6	genotype	genotype	NOUN
afs-95617	100	7	file	file	NOUN
afs-95617	100	8	is	be	AUX
afs-95617	100	9	always	always	ADV
afs-95617	100	10	the	the	DET
afs-95617	100	11	i	i	PROPN
afs-95617	100	12	d	d	PROPN
afs-95617	100	13	code	code	NOUN
afs-95617	100	14	number	number	NOUN
afs-95617	100	15	.	.	PUNCT
afs-95617	101	1	by	by	ADP
afs-95617	101	2	default	default	NOUN
afs-95617	101	3	,	,	PUNCT
afs-95617	101	4	the	the	DET
afs-95617	101	5	genotypes	genotype	NOUN
afs-95617	101	6	are	be	AUX
afs-95617	101	7	assumed	assume	VERB
afs-95617	101	8	to	to	PART
afs-95617	101	9	be	be	AUX
afs-95617	101	10	space	space	NOUN
afs-95617	101	11	separated	separate	VERB
afs-95617	101	12	floating	float	VERB
afs-95617	101	13	point	point	NOUN
afs-95617	101	14	numbers	number	NOUN
afs-95617	101	15	.	.	PUNCT
afs-95617	102	1	the	the	DET
afs-95617	102	2	option	option	NOUN
afs-95617	102	3	“	"	PUNCT
afs-95617	102	4	-int	-int	NOUN
afs-95617	102	5	”	"	PUNCT
afs-95617	102	6	informs	inform	VERB
afs-95617	102	7	that	that	SCONJ
afs-95617	102	8	the	the	DET
afs-95617	102	9	genotypes	genotype	NOUN
afs-95617	102	10	are	be	AUX
afs-95617	102	11	space	space	NOUN
afs-95617	102	12	separated	separate	VERB
afs-95617	102	13	integer	integer	NOUN
afs-95617	102	14	numbers	number	NOUN
afs-95617	102	15	.	.	PUNCT
afs-95617	103	1	however	however	ADV
afs-95617	103	2	,	,	PUNCT
afs-95617	103	3	the	the	DET
afs-95617	103	4	option	option	NOUN
afs-95617	103	5	“	"	PUNCT
afs-95617	103	6	-nospace	-nospace	NOUN
afs-95617	103	7	”	"	PUNCT
afs-95617	103	8	assumes	assume	VERB
afs-95617	103	9	genotypes	genotype	NOUN
afs-95617	103	10	to	to	PART
afs-95617	103	11	be	be	AUX
afs-95617	103	12	single	single	ADJ
afs-95617	103	13	digit	digit	NOUN
afs-95617	103	14	integer	integer	NOUN
afs-95617	103	15	numbers	number	NOUN
afs-95617	103	16	without	without	ADP
afs-95617	103	17	the	the	DET
afs-95617	103	18	space	space	NOUN
afs-95617	103	19	separator	separator	NOUN
afs-95617	103	20	.	.	PUNCT
afs-95617	104	1	note	note	VERB
afs-95617	104	2	that	that	SCONJ
afs-95617	104	3	this	this	DET
afs-95617	104	4	option	option	NOUN
afs-95617	104	5	assumes	assume	VERB
afs-95617	104	6	that	that	SCONJ
afs-95617	104	7	the	the	DET
afs-95617	104	8	first	first	ADJ
afs-95617	104	9	column	column	NOUN
afs-95617	104	10	has	have	VERB
afs-95617	104	11	the	the	DET
afs-95617	104	12	i	i	PROPN
afs-95617	104	13	d	d	PROPN
afs-95617	104	14	code	code	NOUN
afs-95617	104	15	number	number	NOUN
afs-95617	104	16	which	which	PRON
afs-95617	104	17	is	be	AUX
afs-95617	104	18	separated	separate	VERB
afs-95617	104	19	by	by	ADP
afs-95617	104	20	at	at	ADV
afs-95617	104	21	least	least	ADV
afs-95617	104	22	one	one	NUM
afs-95617	104	23	space	space	NOUN
afs-95617	104	24	from	from	ADP
afs-95617	104	25	the	the	DET
afs-95617	104	26	marker	marker	NOUN
afs-95617	104	27	data	datum	NOUN
afs-95617	104	28	.	.	PUNCT
afs-95617	105	1	alternatively	alternatively	ADV
afs-95617	105	2	,	,	PUNCT
afs-95617	105	3	when	when	SCONJ
afs-95617	105	4	all	all	DET
afs-95617	105	5	columns	column	NOUN
afs-95617	105	6	in	in	ADP
afs-95617	105	7	the	the	DET
afs-95617	105	8	file	file	NOUN
afs-95617	105	9	are	be	AUX
afs-95617	105	10	integers	integer	NOUN
afs-95617	105	11	,	,	PUNCT
afs-95617	105	12	the	the	DET
afs-95617	105	13	space	space	NOUN
afs-95617	105	14	requirement	requirement	NOUN
afs-95617	105	15	can	can	AUX
afs-95617	105	16	be	be	AUX
afs-95617	105	17	relaxed	relax	VERB
afs-95617	105	18	by	by	ADP
afs-95617	105	19	giving	give	VERB
afs-95617	105	20	a	a	DET
afs-95617	105	21	fortran	fortran	ADJ
afs-95617	105	22	type	type	NOUN
afs-95617	105	23	format	format	NOUN
afs-95617	105	24	.	.	PUNCT
afs-95617	106	1	for	for	ADP
afs-95617	106	2	example	example	NOUN
afs-95617	106	3	,	,	PUNCT
afs-95617	106	4	“	"	PUNCT
afs-95617	106	5	-fmt	-fmt	NUM
afs-95617	106	6	‘	'	PUNCT
afs-95617	106	7	(	(	PUNCT
afs-95617	106	8	i7,1x,50000i1	i7,1x,50000i1	NOUN
afs-95617	106	9	)	)	PUNCT
afs-95617	106	10	’	'	PUNCT
afs-95617	106	11	”	"	PUNCT
afs-95617	106	12	assumes	assume	VERB
afs-95617	106	13	a	a	DET
afs-95617	106	14	seven	seven	NUM
afs-95617	106	15	-	-	PUNCT
afs-95617	106	16	digit	digit	NOUN
afs-95617	106	17	i	i	PROPN
afs-95617	106	18	d	d	PROPN
afs-95617	106	19	code	code	PROPN
afs-95617	106	20	,	,	PUNCT
afs-95617	106	21	one	one	NUM
afs-95617	106	22	space	space	NOUN
afs-95617	106	23	,	,	PUNCT
afs-95617	106	24	and	and	CCONJ
afs-95617	106	25	50000	50000	NUM
afs-95617	106	26	single	single	ADJ
afs-95617	106	27	digit	digit	NOUN
afs-95617	106	28	genotypes	genotype	NOUN
afs-95617	106	29	.	.	PUNCT
afs-95617	107	1	giving	give	VERB
afs-95617	107	2	the	the	DET
afs-95617	107	3	right	right	ADJ
afs-95617	107	4	number	number	NOUN
afs-95617	107	5	of	of	ADP
afs-95617	107	6	markers	marker	NOUN
afs-95617	107	7	,	,	PUNCT
afs-95617	107	8	here	here	ADV
afs-95617	107	9	50000	50000	NUM
afs-95617	107	10	,	,	PUNCT
afs-95617	107	11	is	be	AUX
afs-95617	107	12	not	not	PART
afs-95617	107	13	critical	critical	ADJ
afs-95617	107	14	.	.	PUNCT
afs-95617	108	1	in	in	ADP
afs-95617	108	2	fact	fact	NOUN
afs-95617	108	3	,	,	PUNCT
afs-95617	108	4	when	when	SCONJ
afs-95617	108	5	a	a	DET
afs-95617	108	6	too	too	ADV
afs-95617	108	7	large	large	ADJ
afs-95617	108	8	number	number	NOUN
afs-95617	108	9	is	be	AUX
afs-95617	108	10	given	give	VERB
afs-95617	108	11	,	,	PUNCT
afs-95617	108	12	the	the	DET
afs-95617	108	13	program	program	NOUN
afs-95617	108	14	calculates	calculate	VERB
afs-95617	108	15	and	and	CCONJ
afs-95617	108	16	uses	use	VERB
afs-95617	108	17	the	the	DET
afs-95617	108	18	number	number	NOUN
afs-95617	108	19	of	of	ADP
afs-95617	108	20	markers	marker	NOUN
afs-95617	108	21	on	on	ADP
afs-95617	108	22	the	the	DET
afs-95617	108	23	first	first	ADJ
afs-95617	108	24	row	row	NOUN
afs-95617	108	25	in	in	ADP
afs-95617	108	26	the	the	DET
afs-95617	108	27	genotyped	genotype	VERB
afs-95617	108	28	file	file	NOUN
afs-95617	108	29	.	.	PUNCT
afs-95617	109	1	the	the	DET
afs-95617	109	2	option	option	NOUN
afs-95617	109	3	“	"	PUNCT
afs-95617	109	4	-s	-s	NUM
afs-95617	109	5	first	first	ADJ
afs-95617	109	6	last	last	ADJ
afs-95617	109	7	jump	jump	NOUN
afs-95617	109	8	”	"	PUNCT
afs-95617	109	9	allows	allow	VERB
afs-95617	109	10	selecting	select	VERB
afs-95617	109	11	a	a	DET
afs-95617	109	12	subset	subset	NOUN
afs-95617	109	13	of	of	ADP
afs-95617	109	14	markers	marker	NOUN
afs-95617	109	15	in	in	ADP
afs-95617	109	16	the	the	DET
afs-95617	109	17	specific	specific	ADJ
afs-95617	109	18	region	region	NOUN
afs-95617	109	19	to	to	PART
afs-95617	109	20	be	be	AUX
afs-95617	109	21	included	include	VERB
afs-95617	109	22	in	in	ADP
afs-95617	109	23	the	the	DET
afs-95617	109	24	analysis	analysis	NOUN
afs-95617	109	25	from	from	ADP
afs-95617	109	26	the	the	DET
afs-95617	109	27	genotype	genotype	NOUN
afs-95617	109	28	file	file	NOUN
afs-95617	109	29	.	.	PUNCT
afs-95617	110	1	the	the	DET
afs-95617	110	2	‘	'	PUNCT
afs-95617	110	3	-s	-s	NOUN
afs-95617	110	4	’	'	PUNCT
afs-95617	110	5	option	option	NOUN
afs-95617	110	6	allows	allow	VERB
afs-95617	110	7	omitting	omit	VERB
afs-95617	110	8	any	any	DET
afs-95617	110	9	non	non	ADJ
afs-95617	110	10	-	-	ADJ
afs-95617	110	11	genotype	genotype	ADJ
afs-95617	110	12	columns	column	NOUN
afs-95617	110	13	before	before	ADP
afs-95617	110	14	the	the	DET
afs-95617	110	15	first	first	ADJ
afs-95617	110	16	genotype	genotype	NOUN
afs-95617	110	17	column	column	NOUN
afs-95617	110	18	.	.	PUNCT
afs-95617	111	1	for	for	ADP
afs-95617	111	2	example	example	NOUN
afs-95617	111	3	,	,	PUNCT
afs-95617	111	4	giving	give	VERB
afs-95617	111	5	“	"	PUNCT
afs-95617	111	6	-s	-s	PROPN
afs-95617	111	7	4	4	NUM
afs-95617	111	8	0	0	NUM
afs-95617	111	9	0	0	NUM
afs-95617	111	10	”	"	PUNCT
afs-95617	111	11	will	will	AUX
afs-95617	111	12	start	start	VERB
afs-95617	111	13	from	from	ADP
afs-95617	111	14	column	column	NOUN
afs-95617	111	15	5	5	NUM
afs-95617	111	16	onwards	onwards	ADP
afs-95617	111	17	all	all	DET
afs-95617	111	18	columns	column	NOUN
afs-95617	111	19	as	as	ADP
afs-95617	111	20	markers	marker	NOUN
afs-95617	111	21	when	when	SCONJ
afs-95617	111	22	the	the	DET
afs-95617	111	23	zeros	zero	NOUN
afs-95617	111	24	are	be	AUX
afs-95617	111	25	used	use	VERB
afs-95617	111	26	for	for	ADP
afs-95617	111	27	default	default	NOUN
afs-95617	111	28	values	value	NOUN
afs-95617	111	29	(	(	PUNCT
afs-95617	111	30	i.e.	i.e.	X
afs-95617	111	31	“	"	PUNCT
afs-95617	111	32	last	last	ADJ
afs-95617	111	33	”	"	PUNCT
afs-95617	111	34	replaced	replace	VERB
afs-95617	111	35	by	by	ADP
afs-95617	111	36	the	the	DET
afs-95617	111	37	number	number	NOUN
afs-95617	111	38	of	of	ADP
afs-95617	111	39	markers	marker	NOUN
afs-95617	111	40	,	,	PUNCT
afs-95617	111	41	and	and	CCONJ
afs-95617	111	42	“	"	PUNCT
afs-95617	111	43	jump	jump	NOUN
afs-95617	111	44	”	"	PUNCT
afs-95617	111	45	by	by	ADP
afs-95617	111	46	one	one	NUM
afs-95617	111	47	)	)	PUNCT
afs-95617	111	48	.	.	PUNCT
afs-95617	112	1	the	the	DET
afs-95617	112	2	pedigree	pedigree	PROPN
afs-95617	112	3	relationship	relationship	NOUN
afs-95617	112	4	matrix	matrix	NOUN
afs-95617	112	5	a22	a22	PROPN
afs-95617	112	6	has	have	VERB
afs-95617	112	7	to	to	PART
afs-95617	112	8	be	be	AUX
afs-95617	112	9	provided	provide	VERB
afs-95617	112	10	in	in	ADP
afs-95617	112	11	a	a	DET
afs-95617	112	12	file	file	NOUN
afs-95617	112	13	if	if	SCONJ
afs-95617	112	14	the	the	DET
afs-95617	112	15	rpg	rpg	NOUN
afs-95617	112	16	effect	effect	NOUN
afs-95617	112	17	is	be	AUX
afs-95617	112	18	accounted	account	VERB
afs-95617	112	19	exactly	exactly	ADV
afs-95617	112	20	(	(	PUNCT
afs-95617	112	21	model	model	NOUN
afs-95617	112	22	[	[	X
afs-95617	112	23	2	2	NUM
afs-95617	112	24	]	]	NUM
afs-95617	112	25	)	)	PUNCT
afs-95617	112	26	.	.	PUNCT
afs-95617	113	1	two	two	NUM
afs-95617	113	2	matrix	matrix	NOUN
afs-95617	113	3	formats	format	NOUN
afs-95617	113	4	are	be	AUX
afs-95617	113	5	supported	support	VERB
afs-95617	113	6	.	.	PUNCT
afs-95617	114	1	in	in	ADP
afs-95617	114	2	the	the	DET
afs-95617	114	3	co	co	NOUN
afs-95617	114	4	-	-	ADJ
afs-95617	114	5	ordinate	ordinate	ADJ
afs-95617	114	6	format	format	NOUN
afs-95617	114	7	(	(	PUNCT
afs-95617	114	8	“	"	PUNCT
afs-95617	114	9	-a	-a	X
afs-95617	114	10	file	file	NOUN
afs-95617	114	11	”	"	PUNCT
afs-95617	114	12	)	)	PUNCT
afs-95617	114	13	,	,	PUNCT
afs-95617	114	14	the	the	DET
afs-95617	114	15	file	file	NOUN
afs-95617	114	16	has	have	VERB
afs-95617	114	17	non	non	ADJ
afs-95617	114	18	-	-	ADJ
afs-95617	114	19	zero	zero	NUM
afs-95617	114	20	elements	element	NOUN
afs-95617	114	21	of	of	ADP
afs-95617	114	22	the	the	DET
afs-95617	114	23	upper	upper	ADJ
afs-95617	114	24	or	or	CCONJ
afs-95617	114	25	lower	low	ADJ
afs-95617	114	26	triangle	triangle	NOUN
afs-95617	114	27	of	of	ADP
afs-95617	114	28	the	the	DET
afs-95617	114	29	matrix	matrix	NOUN
afs-95617	114	30	but	but	CCONJ
afs-95617	114	31	not	not	PART
afs-95617	114	32	both	both	PRON
afs-95617	114	33	.	.	PUNCT
afs-95617	115	1	each	each	DET
afs-95617	115	2	line	line	NOUN
afs-95617	115	3	has	have	VERB
afs-95617	115	4	three	three	NUM
afs-95617	115	5	space	space	NOUN
afs-95617	115	6	separated	separate	VERB
afs-95617	115	7	values	value	NOUN
afs-95617	115	8	.	.	PUNCT
afs-95617	116	1	the	the	DET
afs-95617	116	2	first	first	ADJ
afs-95617	116	3	two	two	NUM
afs-95617	116	4	are	be	AUX
afs-95617	116	5	the	the	DET
afs-95617	116	6	integer	integer	NOUN
afs-95617	116	7	valued	value	VERB
afs-95617	116	8	i	i	PROPN
afs-95617	116	9	d	d	PROPN
afs-95617	116	10	codes	code	VERB
afs-95617	116	11	to	to	PART
afs-95617	116	12	identify	identify	VERB
afs-95617	116	13	the	the	DET
afs-95617	116	14	individuals	individual	NOUN
afs-95617	116	15	which	which	PRON
afs-95617	116	16	the	the	DET
afs-95617	116	17	relationship	relationship	NOUN
afs-95617	116	18	coefficient	coefficient	NOUN
afs-95617	116	19	concerns	concern	NOUN
afs-95617	116	20	.	.	PUNCT
afs-95617	117	1	the	the	DET
afs-95617	117	2	third	third	ADJ
afs-95617	117	3	column	column	NOUN
afs-95617	117	4	has	have	VERB
afs-95617	117	5	the	the	DET
afs-95617	117	6	relationship	relationship	NOUN
afs-95617	117	7	value	value	NOUN
afs-95617	117	8	.	.	PUNCT
afs-95617	118	1	table	table	NOUN
afs-95617	118	2	1	1	NUM
afs-95617	118	3	.	.	PUNCT
afs-95617	118	4	main	main	ADJ
afs-95617	118	5	options	option	NOUN
afs-95617	118	6	for	for	ADP
afs-95617	118	7	snp_blup_rel	snp_blup_rel	ADV
afs-95617	118	8	describing	describe	VERB
afs-95617	118	9	the	the	DET
afs-95617	118	10	data	data	NOUN
afs-95617	118	11	format	format	NOUN
afs-95617	118	12	and	and	CCONJ
afs-95617	118	13	desired	desire	VERB
afs-95617	118	14	models	model	NOUN
afs-95617	118	15	options	option	NOUN
afs-95617	118	16	description	description	NOUN
afs-95617	118	17	-nthr	-nthr	NOUN
afs-95617	118	18	n	n	PRON
afs-95617	118	19	number	number	NOUN
afs-95617	118	20	of	of	ADP
afs-95617	118	21	threads	thread	NOUN
afs-95617	118	22	.	.	PUNCT
afs-95617	119	1	default	default	NOUN
afs-95617	119	2	from	from	ADP
afs-95617	119	3	variable	variable	ADJ
afs-95617	119	4	mkl_num_threads	mkl_num_thread	NOUN
afs-95617	119	5	-o	-o	INTJ
afs-95617	119	6	data_file	data_file	ADJ
afs-95617	119	7	name	name	NOUN
afs-95617	119	8	of	of	ADP
afs-95617	119	9	the	the	DET
afs-95617	119	10	data	datum	NOUN
afs-95617	119	11	file	file	NOUN
afs-95617	119	12	.	.	PUNCT
afs-95617	120	1	each	each	DET
afs-95617	120	2	line	line	NOUN
afs-95617	120	3	has	have	VERB
afs-95617	120	4	an	an	DET
afs-95617	120	5	i	i	NOUN
afs-95617	120	6	d	d	PROPN
afs-95617	120	7	number	number	NOUN
afs-95617	120	8	of	of	ADP
afs-95617	120	9	animal	animal	NOUN
afs-95617	120	10	with	with	ADP
afs-95617	120	11	observation	observation	NOUN
afs-95617	120	12	-wt	-wt	PRON
afs-95617	120	13	col_num	col_num	ADJ
afs-95617	120	14	column	column	NOUN
afs-95617	120	15	number	number	NOUN
afs-95617	120	16	of	of	ADP
afs-95617	120	17	weights	weight	NOUN
afs-95617	120	18	in	in	ADP
afs-95617	120	19	the	the	DET
afs-95617	120	20	data_file	data_file	PROPN
afs-95617	120	21	-e	-e	PROPN
afs-95617	120	22	col_num	col_num	PROPN
afs-95617	120	23	column	column	NOUN
afs-95617	120	24	number	number	NOUN
afs-95617	120	25	of	of	ADP
afs-95617	120	26	effective	effective	ADJ
afs-95617	120	27	daughter	daughter	NOUN
afs-95617	120	28	contributions	contribution	NOUN
afs-95617	120	29	(	(	PUNCT
afs-95617	120	30	edc	edc	PROPN
afs-95617	120	31	)	)	PUNCT
afs-95617	120	32	for	for	ADP
afs-95617	120	33	weight	weight	NOUN
afs-95617	120	34	=	=	SYM
afs-95617	120	35	edc	edc	PROPN
afs-95617	120	36	/	/	SYM
afs-95617	120	37	λ	λ	PROPN
afs-95617	120	38	,	,	PUNCT
afs-95617	120	39	-h2	-h2	PROPN
afs-95617	120	40	v	v	NUM
afs-95617	120	41	value	value	NOUN
afs-95617	120	42	of	of	ADP
afs-95617	120	43	animal	animal	NOUN
afs-95617	120	44	model	model	NOUN
afs-95617	120	45	heritability	heritability	NOUN
afs-95617	120	46	.	.	PUNCT
afs-95617	121	1	assumes	assume	VERB
afs-95617	121	2	-h2s	-h2s	PUNCT
afs-95617	121	3	v	v	NUM
afs-95617	121	4	value	value	NOUN
afs-95617	121	5	of	of	ADP
afs-95617	121	6	sire	sire	NOUN
afs-95617	121	7	model	model	NOUN
afs-95617	121	8	heritability	heritability	NOUN
afs-95617	121	9	.	.	PUNCT
afs-95617	122	1	assumes	assume	VERB
afs-95617	122	2	-m	-m	PUNCT
afs-95617	122	3	method	method	VERB
afs-95617	122	4	genomic	genomic	ADJ
afs-95617	122	5	data	datum	NOUN
afs-95617	122	6	centering	center	VERB
afs-95617	122	7	/	/	SYM
afs-95617	122	8	scaling	scale	VERB
afs-95617	122	9	method	method	NOUN
afs-95617	122	10	(	(	PUNCT
afs-95617	122	11	pvr1	pvr1	PROPN
afs-95617	122	12	,	,	PUNCT
afs-95617	122	13	pvr2	pvr2	NOUN
afs-95617	122	14	,	,	PUNCT
afs-95617	122	15	raw	raw	ADJ
afs-95617	122	16	…	…	PUNCT
afs-95617	122	17	)	)	PUNCT
afs-95617	122	18	-a	-a	PUNCT
afs-95617	122	19	afreq_file	afreq_file	NOUN
afs-95617	122	20	afreq_file	afreq_file	NOUN
afs-95617	122	21	is	be	AUX
afs-95617	122	22	file	file	NOUN
afs-95617	122	23	for	for	ADP
afs-95617	122	24	allele	allele	NOUN
afs-95617	122	25	frequencies	frequency	NOUN
afs-95617	122	26	by	by	ADP
afs-95617	122	27	markers	marker	NOUN
afs-95617	122	28	-s	-s	PROPN
afs-95617	122	29	fst	fst	PROPN
afs-95617	122	30	lst	lst	PROPN
afs-95617	122	31	jmp	jmp	PROPN
afs-95617	122	32	subsetting	subsette	VERB
afs-95617	122	33	by	by	ADP
afs-95617	122	34	every	every	DET
afs-95617	122	35	jmpth	jmpth	ADJ
afs-95617	122	36	marker	marker	NOUN
afs-95617	122	37	in	in	ADP
afs-95617	122	38	the	the	DET
afs-95617	122	39	genotype	genotype	NOUN
afs-95617	122	40	file	file	NOUN
afs-95617	122	41	starting	start	VERB
afs-95617	122	42	from	from	ADP
afs-95617	122	43	first	first	ADJ
afs-95617	122	44	(	(	PUNCT
afs-95617	122	45	fst	fst	NOUN
afs-95617	122	46	)	)	PUNCT
afs-95617	122	47	to	to	PART
afs-95617	122	48	last	last	ADJ
afs-95617	122	49	(	(	PUNCT
afs-95617	122	50	lst	lst	NOUN
afs-95617	122	51	)	)	PUNCT
afs-95617	122	52	marker	marker	NOUN
afs-95617	122	53	column	column	NOUN
afs-95617	122	54	λ=	λ=	VERB
afs-95617	122	55	σe	σe	ADP
afs-95617	122	56	2	2	NUM
afs-95617	122	57	σu	σu	SYM
afs-95617	122	58	2	2	NUM
afs-95617	122	59	λ=	λ=	ADJ
afs-95617	122	60	1	1	NUM
afs-95617	122	61	-	-	PUNCT
afs-95617	122	62	h2	h2	NOUN
afs-95617	122	63	h2	h2	NOUN
afs-95617	122	64	λ=	λ=	VERB
afs-95617	122	65	4	4	NUM
afs-95617	122	66	-	-	PUNCT
afs-95617	122	67	h2	h2	NOUN
afs-95617	122	68	h2	h2	NOUN
afs-95617	122	69	agricultural	agricultural	ADJ
afs-95617	122	70	and	and	CCONJ
afs-95617	122	71	food	food	NOUN
afs-95617	122	72	science	science	PROPN
afs-95617	122	73	h.	h.	PROPN
afs-95617	122	74	ben	ben	PROPN
afs-95617	122	75	zaabza	zaabza	PROPN
afs-95617	122	76	et	et	PROPN
afs-95617	122	77	al	al	PROPN
afs-95617	122	78	.	.	PROPN
afs-95617	123	1	(	(	PUNCT
afs-95617	123	2	2020	2020	NUM
afs-95617	123	3	)	)	PUNCT
afs-95617	123	4	29	29	NUM
afs-95617	123	5	:	:	PUNCT
afs-95617	124	1	297–306	297–306	NUM
afs-95617	124	2	301	301	NUM
afs-95617	124	3	note	note	NOUN
afs-95617	124	4	that	that	SCONJ
afs-95617	124	5	each	each	DET
afs-95617	124	6	value	value	NOUN
afs-95617	124	7	given	give	VERB
afs-95617	124	8	in	in	ADP
afs-95617	124	9	the	the	DET
afs-95617	124	10	relationship	relationship	NOUN
afs-95617	124	11	matrix	matrix	NOUN
afs-95617	124	12	is	be	AUX
afs-95617	124	13	added	add	VERB
afs-95617	124	14	to	to	ADP
afs-95617	124	15	the	the	DET
afs-95617	124	16	upper	upper	ADJ
afs-95617	124	17	and	and	CCONJ
afs-95617	124	18	lower	low	ADJ
afs-95617	124	19	triangular	triangular	NOUN
afs-95617	124	20	matrix	matrix	NOUN
afs-95617	124	21	in	in	ADP
afs-95617	124	22	memory	memory	NOUN
afs-95617	124	23	.	.	PUNCT
afs-95617	125	1	so	so	ADV
afs-95617	125	2	,	,	PUNCT
afs-95617	125	3	if	if	SCONJ
afs-95617	125	4	the	the	DET
afs-95617	125	5	same	same	ADJ
afs-95617	125	6	position	position	NOUN
afs-95617	125	7	or	or	CCONJ
afs-95617	125	8	its	its	PRON
afs-95617	125	9	transpose	transpose	NOUN
afs-95617	125	10	,	,	PUNCT
afs-95617	125	11	e.g.	e.g.	ADV
afs-95617	125	12	,	,	PUNCT
afs-95617	125	13	(	(	PUNCT
afs-95617	125	14	1,2	1,2	NUM
afs-95617	125	15	)	)	PUNCT
afs-95617	125	16	and	and	CCONJ
afs-95617	125	17	(	(	PUNCT
afs-95617	125	18	2,1	2,1	NUM
afs-95617	125	19	)	)	PUNCT
afs-95617	125	20	,	,	PUNCT
afs-95617	125	21	is	be	AUX
afs-95617	125	22	referred	refer	VERB
afs-95617	125	23	to	to	ADP
afs-95617	125	24	on	on	ADP
afs-95617	125	25	two	two	NUM
afs-95617	125	26	different	different	ADJ
afs-95617	125	27	lines	line	NOUN
afs-95617	125	28	,	,	PUNCT
afs-95617	125	29	the	the	DET
afs-95617	125	30	sum	sum	NOUN
afs-95617	125	31	of	of	ADP
afs-95617	125	32	their	their	PRON
afs-95617	125	33	values	value	NOUN
afs-95617	125	34	is	be	AUX
afs-95617	125	35	used	use	VERB
afs-95617	125	36	.	.	PUNCT
afs-95617	126	1	in	in	ADP
afs-95617	126	2	the	the	DET
afs-95617	126	3	lower	low	ADJ
afs-95617	126	4	triangle	triangle	NOUN
afs-95617	126	5	dense	dense	ADJ
afs-95617	126	6	format	format	NOUN
afs-95617	126	7	(	(	PUNCT
afs-95617	126	8	“	"	PUNCT
afs-95617	126	9	-alower	-alower	NOUN
afs-95617	126	10	file	file	NOUN
afs-95617	126	11	”	"	PUNCT
afs-95617	126	12	)	)	PUNCT
afs-95617	126	13	,	,	PUNCT
afs-95617	126	14	the	the	DET
afs-95617	126	15	first	first	ADJ
afs-95617	126	16	row	row	NOUN
afs-95617	126	17	has	have	VERB
afs-95617	126	18	size	size	NOUN
afs-95617	126	19	of	of	ADP
afs-95617	126	20	the	the	DET
afs-95617	126	21	matrix	matrix	NOUN
afs-95617	126	22	.	.	PUNCT
afs-95617	127	1	the	the	DET
afs-95617	127	2	second	second	ADJ
afs-95617	127	3	row	row	NOUN
afs-95617	127	4	has	have	VERB
afs-95617	127	5	the	the	DET
afs-95617	127	6	i	i	PROPN
afs-95617	127	7	d	d	PROPN
afs-95617	127	8	code	code	NOUN
afs-95617	127	9	numbers	number	NOUN
afs-95617	127	10	.	.	PUNCT
afs-95617	128	1	the	the	DET
afs-95617	128	2	rest	rest	NOUN
afs-95617	128	3	of	of	ADP
afs-95617	128	4	the	the	DET
afs-95617	128	5	file	file	NOUN
afs-95617	128	6	has	have	VERB
afs-95617	128	7	the	the	DET
afs-95617	128	8	lower	low	ADJ
afs-95617	128	9	triangle	triangle	NOUN
afs-95617	128	10	of	of	ADP
afs-95617	128	11	the	the	DET
afs-95617	128	12	a22	a22	PROPN
afs-95617	128	13	matrix	matrix	NOUN
afs-95617	128	14	.	.	PUNCT
afs-95617	129	1	an	an	DET
afs-95617	129	2	example	example	NOUN
afs-95617	129	3	of	of	ADP
afs-95617	129	4	this	this	DET
afs-95617	129	5	file	file	NOUN
afs-95617	129	6	format	format	NOUN
afs-95617	129	7	is	be	AUX
afs-95617	129	8	given	give	VERB
afs-95617	129	9	in	in	ADP
afs-95617	129	10	supplementary	supplementary	ADJ
afs-95617	129	11	materials	material	NOUN
afs-95617	129	12	.	.	PUNCT
afs-95617	130	1	matrix	matrix	NOUN
afs-95617	130	2	a22	a22	PROPN
afs-95617	130	3	can	can	AUX
afs-95617	130	4	be	be	AUX
afs-95617	130	5	computed	compute	VERB
afs-95617	130	6	by	by	ADP
afs-95617	130	7	any	any	DET
afs-95617	130	8	means	mean	NOUN
afs-95617	130	9	that	that	SCONJ
afs-95617	130	10	the	the	DET
afs-95617	130	11	user	user	NOUN
afs-95617	130	12	desires	desire	NOUN
afs-95617	130	13	,	,	PUNCT
afs-95617	130	14	e.g.	e.g.	ADV
afs-95617	130	15	,	,	PUNCT
afs-95617	130	16	relax2	relax2	NOUN
afs-95617	130	17	program	program	NOUN
afs-95617	130	18	(	(	PUNCT
afs-95617	130	19	strandén	strandén	NOUN
afs-95617	130	20	and	and	CCONJ
afs-95617	130	21	vuori	vuori	NOUN
afs-95617	130	22	2006	2006	NUM
afs-95617	130	23	)	)	PUNCT
afs-95617	130	24	computes	compute	VERB
afs-95617	130	25	the	the	DET
afs-95617	130	26	a22	a22	PROPN
afs-95617	130	27	matrix	matrix	NOUN
afs-95617	130	28	and	and	CCONJ
afs-95617	130	29	allows	allow	VERB
afs-95617	130	30	storing	store	VERB
afs-95617	130	31	it	it	PRON
afs-95617	130	32	in	in	ADP
afs-95617	130	33	either	either	PRON
afs-95617	130	34	of	of	ADP
afs-95617	130	35	the	the	DET
afs-95617	130	36	formats	format	NOUN
afs-95617	130	37	.	.	PUNCT
afs-95617	131	1	output	output	NOUN
afs-95617	131	2	files	file	NOUN
afs-95617	131	3	the	the	DET
afs-95617	131	4	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	131	5	program	program	NOUN
afs-95617	131	6	provides	provide	VERB
afs-95617	131	7	an	an	DET
afs-95617	131	8	output	output	NOUN
afs-95617	131	9	file	file	NOUN
afs-95617	131	10	which	which	PRON
afs-95617	131	11	has	have	VERB
afs-95617	131	12	several	several	ADJ
afs-95617	131	13	columns	column	NOUN
afs-95617	131	14	for	for	ADP
afs-95617	131	15	each	each	DET
afs-95617	131	16	individual	individual	NOUN
afs-95617	131	17	.	.	PUNCT
afs-95617	132	1	the	the	DET
afs-95617	132	2	first	first	ADJ
afs-95617	132	3	column	column	NOUN
afs-95617	132	4	has	have	VERB
afs-95617	132	5	the	the	DET
afs-95617	132	6	individual	individual	ADJ
afs-95617	132	7	i	i	PROPN
afs-95617	132	8	d	d	PROPN
afs-95617	132	9	code	code	PROPN
afs-95617	132	10	,	,	PUNCT
afs-95617	132	11	the	the	DET
afs-95617	132	12	second	second	NOUN
afs-95617	132	13	has	have	VERB
afs-95617	132	14	the	the	DET
afs-95617	132	15	weight	weight	NOUN
afs-95617	132	16	of	of	ADP
afs-95617	132	17	the	the	DET
afs-95617	132	18	observation	observation	NOUN
afs-95617	132	19	,	,	PUNCT
afs-95617	132	20	the	the	DET
afs-95617	132	21	third	third	NOUN
afs-95617	132	22	has	have	VERB
afs-95617	132	23	the	the	DET
afs-95617	132	24	pev	pev	NOUN
afs-95617	132	25	,	,	PUNCT
afs-95617	132	26	the	the	DET
afs-95617	132	27	fourth	fourth	NOUN
afs-95617	132	28	has	have	VERB
afs-95617	132	29	the	the	DET
afs-95617	132	30	diagonal	diagonal	NOUN
afs-95617	132	31	of	of	ADP
afs-95617	132	32	the	the	DET
afs-95617	132	33	g	g	PROPN
afs-95617	132	34	matrix	matrix	NOUN
afs-95617	132	35	,	,	PUNCT
afs-95617	132	36	and	and	CCONJ
afs-95617	132	37	the	the	DET
afs-95617	132	38	fifth	fifth	NOUN
afs-95617	132	39	has	have	VERB
afs-95617	132	40	the	the	DET
afs-95617	132	41	calculated	calculated	ADJ
afs-95617	132	42	reliability	reliability	NOUN
afs-95617	132	43	.	.	PUNCT
afs-95617	133	1	the	the	DET
afs-95617	133	2	user	user	NOUN
afs-95617	133	3	must	must	AUX
afs-95617	133	4	provide	provide	VERB
afs-95617	133	5	the	the	DET
afs-95617	133	6	name	name	NOUN
afs-95617	133	7	of	of	ADP
afs-95617	133	8	this	this	DET
afs-95617	133	9	output	output	NOUN
afs-95617	133	10	file	file	NOUN
afs-95617	133	11	.	.	PUNCT
afs-95617	134	1	in	in	ADP
afs-95617	134	2	addition	addition	NOUN
afs-95617	134	3	,	,	PUNCT
afs-95617	134	4	the	the	DET
afs-95617	134	5	program	program	NOUN
afs-95617	134	6	provides	provide	VERB
afs-95617	134	7	a	a	DET
afs-95617	134	8	detailed	detailed	ADJ
afs-95617	134	9	summary	summary	NOUN
afs-95617	134	10	of	of	ADP
afs-95617	134	11	the	the	DET
afs-95617	134	12	analysis	analysis	NOUN
afs-95617	134	13	to	to	ADP
afs-95617	134	14	standard	standard	ADJ
afs-95617	134	15	output	output	NOUN
afs-95617	134	16	when	when	SCONJ
afs-95617	134	17	the	the	DET
afs-95617	134	18	program	program	NOUN
afs-95617	134	19	is	be	AUX
afs-95617	134	20	executed	execute	VERB
afs-95617	134	21	.	.	PUNCT
afs-95617	135	1	when	when	SCONJ
afs-95617	135	2	the	the	DET
afs-95617	135	3	screen	screen	NOUN
afs-95617	135	4	output	output	NOUN
afs-95617	135	5	is	be	AUX
afs-95617	135	6	directed	direct	VERB
afs-95617	135	7	to	to	ADP
afs-95617	135	8	a	a	DET
afs-95617	135	9	file	file	NOUN
afs-95617	135	10	,	,	PUNCT
afs-95617	135	11	it	it	PRON
afs-95617	135	12	is	be	AUX
afs-95617	135	13	easy	easy	ADJ
afs-95617	135	14	to	to	PART
afs-95617	135	15	obtain	obtain	VERB
afs-95617	135	16	data	datum	NOUN
afs-95617	135	17	and	and	CCONJ
afs-95617	135	18	model	model	NOUN
afs-95617	135	19	information	information	NOUN
afs-95617	135	20	such	such	ADJ
afs-95617	135	21	as	as	ADP
afs-95617	135	22	the	the	DET
afs-95617	135	23	number	number	NOUN
afs-95617	135	24	of	of	ADP
afs-95617	135	25	snp	snp	ADJ
afs-95617	135	26	markers	marker	NOUN
afs-95617	135	27	and	and	CCONJ
afs-95617	135	28	genotyped	genotype	VERB
afs-95617	135	29	individuals	individual	NOUN
afs-95617	135	30	.	.	PUNCT
afs-95617	136	1	options	option	NOUN
afs-95617	136	2	the	the	DET
afs-95617	136	3	snp_blup_rel	snp_blup_rel	PROPN
afs-95617	136	4	program	program	NOUN
afs-95617	136	5	offers	offer	VERB
afs-95617	136	6	several	several	ADJ
afs-95617	136	7	options	option	NOUN
afs-95617	136	8	(	(	PUNCT
afs-95617	136	9	tables	table	NOUN
afs-95617	136	10	1	1	NUM
afs-95617	136	11	,	,	PUNCT
afs-95617	136	12	2	2	NUM
afs-95617	136	13	and	and	CCONJ
afs-95617	136	14	3	3	NUM
afs-95617	136	15	)	)	PUNCT
afs-95617	136	16	.	.	PUNCT
afs-95617	137	1	the	the	DET
afs-95617	137	2	list	list	NOUN
afs-95617	137	3	of	of	ADP
afs-95617	137	4	options	option	NOUN
afs-95617	137	5	is	be	AUX
afs-95617	137	6	printed	print	VERB
afs-95617	137	7	to	to	ADP
afs-95617	137	8	standard	standard	ADJ
afs-95617	137	9	output	output	NOUN
afs-95617	137	10	when	when	SCONJ
afs-95617	137	11	the	the	DET
afs-95617	137	12	program	program	NOUN
afs-95617	137	13	is	be	AUX
afs-95617	137	14	started	start	VERB
afs-95617	137	15	without	without	ADP
afs-95617	137	16	any	any	DET
afs-95617	137	17	arguments	argument	NOUN
afs-95617	137	18	,	,	PUNCT
afs-95617	137	19	or	or	CCONJ
afs-95617	137	20	if	if	SCONJ
afs-95617	137	21	it	it	PRON
afs-95617	137	22	is	be	AUX
afs-95617	137	23	started	start	VERB
afs-95617	137	24	with	with	ADP
afs-95617	137	25	the	the	DET
afs-95617	137	26	option	option	NOUN
afs-95617	137	27	“	"	PUNCT
afs-95617	137	28	-info	-info	PROPN
afs-95617	137	29	”	"	PUNCT
afs-95617	137	30	.	.	PUNCT
afs-95617	138	1	because	because	SCONJ
afs-95617	138	2	the	the	DET
afs-95617	138	3	list	list	NOUN
afs-95617	138	4	of	of	ADP
afs-95617	138	5	options	option	NOUN
afs-95617	138	6	including	include	VERB
afs-95617	138	7	the	the	DET
afs-95617	138	8	data	data	NOUN
afs-95617	138	9	files	file	NOUN
afs-95617	138	10	and	and	CCONJ
afs-95617	138	11	result	result	VERB
afs-95617	138	12	files	file	NOUN
afs-95617	138	13	can	can	AUX
afs-95617	138	14	become	become	VERB
afs-95617	138	15	long	long	ADV
afs-95617	138	16	on	on	ADP
afs-95617	138	17	a	a	DET
afs-95617	138	18	command	command	NOUN
afs-95617	138	19	line	line	NOUN
afs-95617	138	20	,	,	PUNCT
afs-95617	138	21	it	it	PRON
afs-95617	138	22	may	may	AUX
afs-95617	138	23	be	be	AUX
afs-95617	138	24	convenient	convenient	ADJ
afs-95617	138	25	to	to	PART
afs-95617	138	26	store	store	VERB
afs-95617	138	27	the	the	DET
afs-95617	138	28	instructions	instruction	NOUN
afs-95617	138	29	in	in	ADP
afs-95617	138	30	a	a	DET
afs-95617	138	31	file	file	NOUN
afs-95617	138	32	.	.	PUNCT
afs-95617	139	1	by	by	ADP
afs-95617	139	2	choosing	choose	VERB
afs-95617	139	3	the	the	DET
afs-95617	139	4	option	option	NOUN
afs-95617	139	5	“	"	PUNCT
afs-95617	139	6	-f	-f	NUM
afs-95617	139	7	o_file	o_file	ADJ
afs-95617	139	8	”	"	PUNCT
afs-95617	139	9	,	,	PUNCT
afs-95617	139	10	snp_blup_rel	snp_blup_rel	ADV
afs-95617	139	11	reads	read	VERB
afs-95617	139	12	the	the	DET
afs-95617	139	13	options	option	NOUN
afs-95617	139	14	from	from	ADP
afs-95617	139	15	file	file	NOUN
afs-95617	139	16	“	"	PUNCT
afs-95617	139	17	o_file	o_file	ADJ
afs-95617	139	18	”	"	PUNCT
afs-95617	139	19	.	.	PUNCT
afs-95617	140	1	table	table	NOUN
afs-95617	140	2	2	2	NUM
afs-95617	140	3	presents	present	VERB
afs-95617	140	4	the	the	DET
afs-95617	140	5	different	different	ADJ
afs-95617	140	6	options	option	NOUN
afs-95617	140	7	commonly	commonly	ADV
afs-95617	140	8	used	use	VERB
afs-95617	140	9	in	in	ADP
afs-95617	140	10	both	both	CCONJ
afs-95617	140	11	snp	snp	NOUN
afs-95617	140	12	-	-	NOUN
afs-95617	140	13	blup	blup	PROPN
afs-95617	140	14	and	and	CCONJ
afs-95617	140	15	mc	mc	PROPN
afs-95617	140	16	-	-	PUNCT
afs-95617	140	17	snp	snp	ADJ
afs-95617	140	18	-	-	ADJ
afs-95617	140	19	blup	blup	NOUN
afs-95617	140	20	models	model	NOUN
afs-95617	140	21	.	.	PUNCT
afs-95617	141	1	these	these	DET
afs-95617	141	2	options	option	NOUN
afs-95617	141	3	can	can	AUX
afs-95617	141	4	generally	generally	ADV
afs-95617	141	5	be	be	AUX
afs-95617	141	6	divided	divide	VERB
afs-95617	141	7	into	into	ADP
afs-95617	141	8	three	three	NUM
afs-95617	141	9	types	type	NOUN
afs-95617	141	10	:	:	PUNCT
afs-95617	141	11	phenotype	phenotype	NOUN
afs-95617	141	12	input	input	NOUN
afs-95617	141	13	file	file	NOUN
afs-95617	141	14	,	,	PUNCT
afs-95617	141	15	genotype	genotype	NOUN
afs-95617	141	16	input	input	NOUN
afs-95617	141	17	file	file	NOUN
afs-95617	141	18	and	and	CCONJ
afs-95617	141	19	method	method	NOUN
afs-95617	141	20	options	option	NOUN
afs-95617	141	21	,	,	PUNCT
afs-95617	141	22	and	and	CCONJ
afs-95617	141	23	output	output	NOUN
afs-95617	141	24	options	option	NOUN
afs-95617	141	25	.	.	PUNCT
afs-95617	142	1	the	the	DET
afs-95617	142	2	option	option	NOUN
afs-95617	142	3	“	"	PUNCT
afs-95617	142	4	-o	-o	INTJ
afs-95617	142	5	”	"	PUNCT
afs-95617	142	6	specifies	specify	VERB
afs-95617	142	7	the	the	DET
afs-95617	142	8	name	name	NOUN
afs-95617	142	9	of	of	ADP
afs-95617	142	10	the	the	DET
afs-95617	142	11	phenotype	phenotype	NOUN
afs-95617	142	12	data	datum	NOUN
afs-95617	142	13	file	file	NOUN
afs-95617	142	14	in	in	ADP
afs-95617	142	15	which	which	PRON
afs-95617	142	16	the	the	DET
afs-95617	142	17	program	program	NOUN
afs-95617	142	18	finds	find	VERB
afs-95617	142	19	the	the	DET
afs-95617	142	20	i	i	PROPN
afs-95617	142	21	d	d	PROPN
afs-95617	142	22	code	code	NOUN
afs-95617	142	23	numbers	number	NOUN
afs-95617	142	24	of	of	ADP
afs-95617	142	25	animals	animal	NOUN
afs-95617	142	26	with	with	ADP
afs-95617	142	27	observations	observation	NOUN
afs-95617	142	28	.	.	PUNCT
afs-95617	143	1	when	when	SCONJ
afs-95617	143	2	no	no	DET
afs-95617	143	3	phenotype	phenotype	NOUN
afs-95617	143	4	data	data	NOUN
afs-95617	143	5	file	file	NOUN
afs-95617	143	6	is	be	AUX
afs-95617	143	7	given	give	VERB
afs-95617	143	8	,	,	PUNCT
afs-95617	143	9	each	each	DET
afs-95617	143	10	genotype	genotype	NOUN
afs-95617	143	11	record	record	NOUN
afs-95617	143	12	is	be	AUX
afs-95617	143	13	assumed	assume	VERB
afs-95617	143	14	to	to	PART
afs-95617	143	15	have	have	VERB
afs-95617	143	16	one	one	NUM
afs-95617	143	17	observation	observation	NOUN
afs-95617	143	18	.	.	PUNCT
afs-95617	144	1	when	when	SCONJ
afs-95617	144	2	a	a	DET
afs-95617	144	3	data	data	NOUN
afs-95617	144	4	file	file	NOUN
afs-95617	144	5	is	be	AUX
afs-95617	144	6	provided	provide	VERB
afs-95617	144	7	using	use	VERB
afs-95617	144	8	the	the	DET
afs-95617	144	9	“	"	PUNCT
afs-95617	144	10	-o	-o	INTJ
afs-95617	144	11	”	"	PUNCT
afs-95617	144	12	option	option	NOUN
afs-95617	144	13	,	,	PUNCT
afs-95617	144	14	the	the	DET
afs-95617	144	15	file	file	NOUN
afs-95617	144	16	must	must	AUX
afs-95617	144	17	have	have	VERB
afs-95617	144	18	at	at	ADP
afs-95617	144	19	least	least	ADJ
afs-95617	144	20	a	a	DET
afs-95617	144	21	column	column	NOUN
afs-95617	144	22	having	have	VERB
afs-95617	144	23	the	the	DET
afs-95617	144	24	i	i	PROPN
afs-95617	144	25	d	d	PROPN
afs-95617	144	26	codes	code	NOUN
afs-95617	144	27	of	of	ADP
afs-95617	144	28	animals	animal	NOUN
afs-95617	144	29	with	with	ADP
afs-95617	144	30	data	datum	NOUN
afs-95617	144	31	.	.	PUNCT
afs-95617	145	1	the	the	DET
afs-95617	145	2	default	default	NOUN
afs-95617	145	3	value	value	NOUN
afs-95617	145	4	for	for	ADP
afs-95617	145	5	the	the	DET
afs-95617	145	6	i	i	PROPN
afs-95617	145	7	d	d	PROPN
afs-95617	145	8	code	code	NOUN
afs-95617	145	9	column	column	NOUN
afs-95617	145	10	number	number	NOUN
afs-95617	145	11	is	be	AUX
afs-95617	145	12	1	1	NUM
afs-95617	145	13	,	,	PUNCT
afs-95617	145	14	but	but	CCONJ
afs-95617	145	15	the	the	DET
afs-95617	145	16	option	option	NOUN
afs-95617	145	17	“	"	PUNCT
afs-95617	145	18	-id	-id	X
afs-95617	145	19	column	column	NOUN
afs-95617	145	20	”	"	PUNCT
afs-95617	145	21	can	can	AUX
afs-95617	145	22	be	be	AUX
afs-95617	145	23	used	use	VERB
afs-95617	145	24	to	to	PART
afs-95617	145	25	change	change	VERB
afs-95617	145	26	this	this	PRON
afs-95617	145	27	.	.	PUNCT
afs-95617	146	1	optional	optional	ADJ
afs-95617	146	2	columns	column	NOUN
afs-95617	146	3	include	include	VERB
afs-95617	146	4	weight	weight	NOUN
afs-95617	146	5	of	of	ADP
afs-95617	146	6	observation	observation	NOUN
afs-95617	146	7	(	(	PUNCT
afs-95617	146	8	option	option	NOUN
afs-95617	146	9	“	"	PUNCT
afs-95617	146	10	-wt	-wt	X
afs-95617	146	11	column	column	NOUN
afs-95617	146	12	”	"	PUNCT
afs-95617	146	13	)	)	PUNCT
afs-95617	146	14	and	and	CCONJ
afs-95617	146	15	,	,	PUNCT
afs-95617	146	16	alternatively	alternatively	ADV
afs-95617	146	17	,	,	PUNCT
afs-95617	146	18	effective	effective	ADJ
afs-95617	146	19	daughter	daughter	NOUN
afs-95617	146	20	contribution	contribution	NOUN
afs-95617	146	21	(	(	PUNCT
afs-95617	146	22	edc	edc	PROPN
afs-95617	146	23	,	,	PUNCT
afs-95617	146	24	option	option	NOUN
afs-95617	146	25	“	"	PUNCT
afs-95617	146	26	-e	-e	NUM
afs-95617	146	27	column	column	NOUN
afs-95617	146	28	”	"	PUNCT
afs-95617	146	29	)	)	PUNCT
afs-95617	146	30	.	.	PUNCT
afs-95617	147	1	generally	generally	ADV
afs-95617	147	2	,	,	PUNCT
afs-95617	147	3	the	the	DET
afs-95617	147	4	weight	weight	NOUN
afs-95617	147	5	or	or	CCONJ
afs-95617	147	6	edc	edc	PROPN
afs-95617	147	7	of	of	ADP
afs-95617	147	8	an	an	DET
afs-95617	147	9	observation	observation	NOUN
afs-95617	147	10	in	in	ADP
afs-95617	147	11	the	the	DET
afs-95617	147	12	data	data	NOUN
afs-95617	147	13	file	file	NOUN
afs-95617	147	14	should	should	AUX
afs-95617	147	15	be	be	AUX
afs-95617	147	16	a	a	DET
afs-95617	147	17	positive	positive	ADJ
afs-95617	147	18	number	number	NOUN
afs-95617	147	19	.	.	PUNCT
afs-95617	148	1	if	if	SCONJ
afs-95617	148	2	this	this	PRON
afs-95617	148	3	is	be	AUX
afs-95617	148	4	not	not	PART
afs-95617	148	5	the	the	DET
afs-95617	148	6	case	case	NOUN
afs-95617	148	7	,	,	PUNCT
afs-95617	148	8	the	the	DET
afs-95617	148	9	weight	weight	NOUN
afs-95617	148	10	value	value	NOUN
afs-95617	148	11	is	be	AUX
afs-95617	148	12	set	set	VERB
afs-95617	148	13	to	to	ADP
afs-95617	148	14	zero	zero	NUM
afs-95617	148	15	,	,	PUNCT
afs-95617	148	16	i.e.	i.e.	X
afs-95617	148	17	,	,	PUNCT
afs-95617	148	18	the	the	DET
afs-95617	148	19	observation	observation	NOUN
afs-95617	148	20	is	be	AUX
afs-95617	148	21	deleted	delete	VERB
afs-95617	148	22	.	.	PUNCT
afs-95617	149	1	the	the	DET
afs-95617	149	2	marker	marker	NOUN
afs-95617	149	3	data	datum	NOUN
afs-95617	149	4	are	be	AUX
afs-95617	149	5	used	use	VERB
afs-95617	149	6	to	to	PART
afs-95617	149	7	form	form	VERB
afs-95617	149	8	the	the	DET
afs-95617	149	9	marker	marker	NOUN
afs-95617	149	10	matrix	matrix	NOUN
afs-95617	149	11	z	z	NOUN
afs-95617	149	12	required	require	VERB
afs-95617	149	13	in	in	ADP
afs-95617	149	14	the	the	DET
afs-95617	149	15	mme	mme	NOUN
afs-95617	149	16	and	and	CCONJ
afs-95617	149	17	calculation	calculation	NOUN
afs-95617	149	18	of	of	ADP
afs-95617	149	19	the	the	DET
afs-95617	149	20	model	model	NOUN
afs-95617	149	21	reliabilities	reliability	NOUN
afs-95617	149	22	.	.	PUNCT
afs-95617	150	1	the	the	DET
afs-95617	150	2	option	option	NOUN
afs-95617	150	3	“	"	PUNCT
afs-95617	150	4	-m	-m	PUNCT
afs-95617	150	5	method	method	NOUN
afs-95617	150	6	”	"	PUNCT
afs-95617	150	7	allows	allow	VERB
afs-95617	150	8	specifying	specify	VERB
afs-95617	150	9	the	the	DET
afs-95617	150	10	available	available	ADJ
afs-95617	150	11	centering	center	VERB
afs-95617	150	12	and	and	CCONJ
afs-95617	150	13	scaling	scale	VERB
afs-95617	150	14	methods	method	NOUN
afs-95617	150	15	.	.	PUNCT
afs-95617	151	1	the	the	DET
afs-95617	151	2	option	option	NOUN
afs-95617	151	3	“	"	PUNCT
afs-95617	151	4	-m	-m	PUNCT
afs-95617	151	5	pvr1	pvr1	PROPN
afs-95617	151	6	”	"	PUNCT
afs-95617	151	7	refers	refer	VERB
afs-95617	151	8	to	to	PART
afs-95617	151	9	vanraden	vanraden	VERB
afs-95617	151	10	method	method	NOUN
afs-95617	151	11	1	1	NUM
afs-95617	151	12	,	,	PUNCT
afs-95617	151	13	and	and	CCONJ
afs-95617	151	14	“	"	PUNCT
afs-95617	151	15	-m	-m	PUNCT
afs-95617	151	16	pvr2	pvr2	NOUN
afs-95617	151	17	”	"	PUNCT
afs-95617	151	18	to	to	PART
afs-95617	151	19	vanraden	vanraden	VERB
afs-95617	151	20	method	method	NOUN
afs-95617	151	21	2	2	NUM
afs-95617	151	22	,	,	PUNCT
afs-95617	151	23	which	which	PRON
afs-95617	151	24	were	be	AUX
afs-95617	151	25	described	describe	VERB
afs-95617	151	26	in	in	ADP
afs-95617	151	27	the	the	DET
afs-95617	151	28	material	material	NOUN
afs-95617	151	29	and	and	CCONJ
afs-95617	151	30	methods	method	NOUN
afs-95617	151	31	section	section	NOUN
afs-95617	151	32	.	.	PUNCT
afs-95617	152	1	as	as	SCONJ
afs-95617	152	2	already	already	ADV
afs-95617	152	3	mentioned	mention	VERB
afs-95617	152	4	,	,	PUNCT
afs-95617	152	5	the	the	DET
afs-95617	152	6	option	option	NOUN
afs-95617	152	7	“	"	PUNCT
afs-95617	152	8	-m	-m	PUNCT
afs-95617	152	9	raw	raw	ADJ
afs-95617	152	10	”	"	PUNCT
afs-95617	152	11	means	mean	NOUN
afs-95617	152	12	using	use	VERB
afs-95617	152	13	the	the	DET
afs-95617	152	14	genotype	genotype	NOUN
afs-95617	152	15	values	value	NOUN
afs-95617	152	16	stored	store	VERB
afs-95617	152	17	in	in	ADP
afs-95617	152	18	the	the	DET
afs-95617	152	19	genotype	genotype	NOUN
afs-95617	152	20	data	datum	NOUN
afs-95617	152	21	file	file	NOUN
afs-95617	152	22	.	.	PUNCT
afs-95617	153	1	the	the	DET
afs-95617	153	2	option	option	NOUN
afs-95617	153	3	“	"	PUNCT
afs-95617	153	4	-m	-m	NUM
afs-95617	153	5	101	101	NUM
afs-95617	153	6	”	"	PUNCT
afs-95617	153	7	means	mean	NOUN
afs-95617	153	8	centering	center	VERB
afs-95617	153	9	by	by	ADP
afs-95617	153	10	assuming	assume	VERB
afs-95617	153	11	all	all	DET
afs-95617	153	12	allele	allele	NOUN
afs-95617	153	13	frequencies	frequency	NOUN
afs-95617	153	14	to	to	PART
afs-95617	153	15	be	be	AUX
afs-95617	153	16	0.5	0.5	NUM
afs-95617	153	17	,	,	PUNCT
afs-95617	153	18	and	and	CCONJ
afs-95617	153	19	“	"	PUNCT
afs-95617	153	20	-m	-m	PUNCT
afs-95617	153	21	center	center	NOUN
afs-95617	153	22	”	"	PUNCT
afs-95617	153	23	means	mean	VERB
afs-95617	153	24	centering	center	VERB
afs-95617	153	25	by	by	ADP
afs-95617	153	26	vanraden	vanraden	NOUN
afs-95617	153	27	method	method	PROPN
afs-95617	153	28	1	1	NUM
afs-95617	153	29	.	.	PUNCT
afs-95617	153	30	note	note	VERB
afs-95617	153	31	that	that	SCONJ
afs-95617	153	32	both	both	DET
afs-95617	153	33	vanraden	vanraden	VERB
afs-95617	153	34	method	method	NOUN
afs-95617	153	35	options	option	NOUN
afs-95617	153	36	(	(	PUNCT
afs-95617	153	37	“	"	PUNCT
afs-95617	153	38	-m	-m	X
afs-95617	153	39	pvr1	pvr1	PROPN
afs-95617	153	40	”	"	PUNCT
afs-95617	153	41	and	and	CCONJ
afs-95617	153	42	“	"	PUNCT
afs-95617	153	43	-m	-m	PUNCT
afs-95617	153	44	pvr2	pvr2	PROPN
afs-95617	153	45	”	"	PUNCT
afs-95617	153	46	)	)	PUNCT
afs-95617	153	47	lead	lead	VERB
afs-95617	153	48	to	to	ADP
afs-95617	153	49	scaling	scaling	NOUN
afs-95617	153	50	,	,	PUNCT
afs-95617	153	51	whereas	whereas	SCONJ
afs-95617	153	52	the	the	DET
afs-95617	153	53	use	use	NOUN
afs-95617	153	54	of	of	ADP
afs-95617	153	55	the	the	DET
afs-95617	153	56	other	other	ADJ
afs-95617	153	57	methods	method	NOUN
afs-95617	153	58	by	by	ADP
afs-95617	153	59	“	"	PUNCT
afs-95617	153	60	-m	-m	INTJ
afs-95617	153	61	”	"	PUNCT
afs-95617	153	62	does	do	AUX
afs-95617	153	63	not	not	PART
afs-95617	153	64	lead	lead	VERB
afs-95617	153	65	to	to	ADP
afs-95617	153	66	scaling	scaling	NOUN
afs-95617	153	67	unless	unless	SCONJ
afs-95617	153	68	specifically	specifically	ADV
afs-95617	153	69	requested	request	VERB
afs-95617	153	70	by	by	ADP
afs-95617	153	71	the	the	DET
afs-95617	153	72	“	"	PUNCT
afs-95617	153	73	-c	-c	NOUN
afs-95617	153	74	“	"	PUNCT
afs-95617	153	75	option	option	NOUN
afs-95617	153	76	(	(	PUNCT
afs-95617	153	77	table	table	NOUN
afs-95617	153	78	3	3	NUM
afs-95617	153	79	)	)	PUNCT
afs-95617	153	80	.	.	PUNCT
afs-95617	154	1	table	table	NOUN
afs-95617	154	2	2	2	NUM
afs-95617	154	3	.	.	NOUN
afs-95617	154	4	snp_blup_rel	snp_blup_rel	VERB
afs-95617	154	5	options	option	NOUN
afs-95617	154	6	when	when	SCONJ
afs-95617	154	7	including	include	VERB
afs-95617	154	8	rpg	rpg	NOUN
afs-95617	154	9	effect	effect	NOUN
afs-95617	154	10	using	use	VERB
afs-95617	154	11	exact	exact	ADJ
afs-95617	154	12	snp	snp	NOUN
afs-95617	154	13	-	-	NOUN
afs-95617	154	14	blup	blup	PROPN
afs-95617	154	15	or	or	CCONJ
afs-95617	154	16	mc	mc	PROPN
afs-95617	154	17	-	-	PUNCT
afs-95617	154	18	snp	snp	ADJ
afs-95617	154	19	-	-	ADJ
afs-95617	154	20	blup	blup	PROPN
afs-95617	154	21	model	model	NOUN
afs-95617	154	22	options	option	NOUN
afs-95617	154	23	description	description	NOUN
afs-95617	154	24	-ped	-ped	PUNCT
afs-95617	154	25	file	file	NOUN
afs-95617	154	26	pedigree	pedigree	ADJ
afs-95617	154	27	file	file	NOUN
afs-95617	154	28	when	when	SCONJ
afs-95617	154	29	residual	residual	ADJ
afs-95617	154	30	polygenic	polygenic	ADJ
afs-95617	154	31	effect	effect	NOUN
afs-95617	154	32	is	be	AUX
afs-95617	154	33	included	include	VERB
afs-95617	154	34	in	in	ADP
afs-95617	154	35	the	the	DET
afs-95617	154	36	model	model	NOUN
afs-95617	154	37	-f	-f	NUM
afs-95617	154	38	file	file	VERB
afs-95617	154	39	inbreeding	inbreede	VERB
afs-95617	154	40	coefficient	coefficient	NOUN
afs-95617	154	41	file	file	NOUN
afs-95617	154	42	for	for	ADP
afs-95617	154	43	the	the	DET
afs-95617	154	44	mendelian	mendelian	ADJ
afs-95617	154	45	term	term	NOUN
afs-95617	154	46	in	in	ADP
afs-95617	154	47	mc	mc	NOUN
afs-95617	154	48	sampling	sample	VERB
afs-95617	154	49	-fcol	-fcol	PROPN
afs-95617	154	50	fc	fc	PROPN
afs-95617	154	51	define	define	VERB
afs-95617	154	52	the	the	DET
afs-95617	154	53	inbreeding	inbreede	VERB
afs-95617	154	54	coefficient	coefficient	NOUN
afs-95617	154	55	column	column	NOUN
afs-95617	154	56	in	in	ADP
afs-95617	154	57	the	the	DET
afs-95617	154	58	–	–	PUNCT
afs-95617	154	59	f	f	NOUN
afs-95617	154	60	file	file	NOUN
afs-95617	154	61	.	.	PUNCT
afs-95617	155	1	default	default	NOUN
afs-95617	155	2	is	be	AUX
afs-95617	155	3	3	3	NUM
afs-95617	155	4	.	.	PUNCT
afs-95617	156	1	-w	-w	AUX
afs-95617	156	2	define	define	VERB
afs-95617	156	3	the	the	DET
afs-95617	156	4	proportion	proportion	NOUN
afs-95617	156	5	of	of	ADP
afs-95617	156	6	the	the	DET
afs-95617	156	7	rpg	rpg	NOUN
afs-95617	156	8	in	in	ADP
afs-95617	156	9	snp	snp	ADJ
afs-95617	156	10	-	-	ADJ
afs-95617	156	11	blup	blup	PROPN
afs-95617	156	12	model	model	NOUN
afs-95617	156	13	.	.	PUNCT
afs-95617	157	1	default	default	NOUN
afs-95617	157	2	is	be	AUX
afs-95617	157	3	zero	zero	NUM
afs-95617	157	4	.	.	PUNCT
afs-95617	158	1	-mc	-mc	PRON
afs-95617	158	2	n	n	ADV
afs-95617	158	3	define	define	VERB
afs-95617	158	4	the	the	DET
afs-95617	158	5	monte	monte	PROPN
afs-95617	158	6	carlo	carlo	NOUN
afs-95617	158	7	sampling	sample	VERB
afs-95617	158	8	size	size	NOUN
afs-95617	158	9	-a	-a	PUNCT
afs-95617	158	10	file	file	NOUN
afs-95617	158	11	file	file	NOUN
afs-95617	158	12	having	have	VERB
afs-95617	158	13	pedigree	pedigree	NOUN
afs-95617	158	14	-	-	PUNCT
afs-95617	158	15	based	base	VERB
afs-95617	158	16	relationship	relationship	NOUN
afs-95617	158	17	matrix	matrix	NOUN
afs-95617	158	18	a22	a22	PROPN
afs-95617	158	19	in	in	ADP
afs-95617	158	20	co	co	ADJ
afs-95617	158	21	-	-	ADJ
afs-95617	158	22	ordinate	ordinate	ADJ
afs-95617	158	23	format	format	NOUN
afs-95617	158	24	.	.	PUNCT
afs-95617	159	1	row	row	NOUN
afs-95617	159	2	has	have	AUX
afs-95617	159	3	format	format	NOUN
afs-95617	159	4	:	:	PUNCT
afs-95617	160	1	<	<	X
afs-95617	160	2	i	i	X
afs-95617	160	3	d	d	PROPN
afs-95617	160	4	1	1	NUM
afs-95617	160	5	>	>	X
afs-95617	160	6	<	<	X
afs-95617	160	7	i	i	PROPN
afs-95617	160	8	d	d	PROPN
afs-95617	160	9	2	2	NUM
afs-95617	160	10	>	>	PUNCT
afs-95617	160	11	<	<	X
afs-95617	160	12	relationship	relationship	NOUN
afs-95617	160	13	value	value	NOUN
afs-95617	160	14	>	>	SYM
afs-95617	160	15	-alower	-alower	NOUN
afs-95617	160	16	file	file	NOUN
afs-95617	160	17	file	file	NOUN
afs-95617	160	18	having	have	VERB
afs-95617	160	19	pedigree	pedigree	NOUN
afs-95617	160	20	-	-	PUNCT
afs-95617	160	21	based	base	VERB
afs-95617	160	22	relationship	relationship	NOUN
afs-95617	160	23	matrix	matrix	NOUN
afs-95617	160	24	a22	a22	PROPN
afs-95617	160	25	.	.	PUNCT
afs-95617	160	26	matrix	matrix	NOUN
afs-95617	160	27	is	be	AUX
afs-95617	160	28	in	in	ADP
afs-95617	160	29	lower	low	ADJ
afs-95617	160	30	triangle	triangle	NOUN
afs-95617	160	31	dense	dense	ADJ
afs-95617	160	32	format	format	NOUN
afs-95617	160	33	(	(	PUNCT
afs-95617	160	34	see	see	VERB
afs-95617	160	35	example	example	NOUN
afs-95617	160	36	)	)	PUNCT
afs-95617	160	37	.	.	PUNCT
afs-95617	161	1	agricultural	agricultural	ADJ
afs-95617	161	2	and	and	CCONJ
afs-95617	161	3	food	food	NOUN
afs-95617	161	4	science	science	PROPN
afs-95617	161	5	h.	h.	PROPN
afs-95617	161	6	ben	ben	PROPN
afs-95617	161	7	zaabza	zaabza	PROPN
afs-95617	161	8	et	et	PROPN
afs-95617	161	9	al	al	PROPN
afs-95617	161	10	.	.	PROPN
afs-95617	161	11	(	(	PUNCT
afs-95617	161	12	2020	2020	NUM
afs-95617	161	13	)	)	PUNCT
afs-95617	161	14	29	29	NUM
afs-95617	161	15	:	:	PUNCT
afs-95617	161	16	297–306	297–306	NUM
afs-95617	161	17	302	302	NUM
afs-95617	161	18	scaling	scale	VERB
afs-95617	161	19	factors	factor	NOUN
afs-95617	161	20	in	in	ADP
afs-95617	161	21	the	the	DET
afs-95617	161	22	vanraden	vanraden	NOUN
afs-95617	161	23	methods	method	NOUN
afs-95617	161	24	(	(	PUNCT
afs-95617	161	25	“	"	PUNCT
afs-95617	161	26	-m	-m	X
afs-95617	161	27	pvr1	pvr1	PROPN
afs-95617	161	28	”	"	PUNCT
afs-95617	161	29	and	and	CCONJ
afs-95617	161	30	“	"	PUNCT
afs-95617	161	31	-m	-m	PUNCT
afs-95617	161	32	pvr2	pvr2	PROPN
afs-95617	161	33	”	"	PUNCT
afs-95617	161	34	)	)	PUNCT
afs-95617	161	35	are	be	AUX
afs-95617	161	36	based	base	VERB
afs-95617	161	37	on	on	ADP
afs-95617	161	38	allele	allele	NOUN
afs-95617	161	39	frequencies	frequency	NOUN
afs-95617	161	40	which	which	PRON
afs-95617	161	41	are	be	AUX
afs-95617	161	42	calculated	calculate	VERB
afs-95617	161	43	from	from	ADP
afs-95617	161	44	the	the	DET
afs-95617	161	45	data	datum	NOUN
afs-95617	161	46	by	by	ADP
afs-95617	161	47	default	default	NOUN
afs-95617	161	48	or	or	CCONJ
afs-95617	161	49	read	read	VERB
afs-95617	161	50	from	from	ADP
afs-95617	161	51	a	a	DET
afs-95617	161	52	file	file	NOUN
afs-95617	161	53	by	by	ADP
afs-95617	161	54	the	the	DET
afs-95617	161	55	option	option	NOUN
afs-95617	161	56	“	"	PUNCT
afs-95617	161	57	-a	-a	X
afs-95617	161	58	afreq_file	afreq_file	PROPN
afs-95617	161	59	”	"	PUNCT
afs-95617	161	60	.	.	PUNCT
afs-95617	162	1	the	the	DET
afs-95617	162	2	“	"	PUNCT
afs-95617	162	3	afreq_file	afreq_file	NOUN
afs-95617	162	4	”	"	PUNCT
afs-95617	162	5	should	should	AUX
afs-95617	162	6	have	have	VERB
afs-95617	162	7	two	two	NUM
afs-95617	162	8	columns	column	NOUN
afs-95617	162	9	(	(	PUNCT
afs-95617	162	10	marker	marker	NOUN
afs-95617	162	11	number	number	NOUN
afs-95617	162	12	,	,	PUNCT
afs-95617	162	13	allele	allele	NOUN
afs-95617	162	14	frequency	frequency	NOUN
afs-95617	162	15	)	)	PUNCT
afs-95617	162	16	where	where	SCONJ
afs-95617	162	17	the	the	DET
afs-95617	162	18	allele	allele	NOUN
afs-95617	162	19	frequency	frequency	NOUN
afs-95617	162	20	must	must	AUX
afs-95617	162	21	be	be	AUX
afs-95617	162	22	between	between	ADP
afs-95617	162	23	zero	zero	NUM
afs-95617	162	24	and	and	CCONJ
afs-95617	162	25	one	one	NUM
afs-95617	162	26	.	.	PUNCT
afs-95617	163	1	the	the	DET
afs-95617	163	2	marker	marker	NOUN
afs-95617	163	3	numbers	number	NOUN
afs-95617	163	4	should	should	AUX
afs-95617	163	5	be	be	AUX
afs-95617	163	6	consecutive	consecutive	ADJ
afs-95617	163	7	from	from	ADP
afs-95617	163	8	one	one	NUM
afs-95617	163	9	to	to	ADP
afs-95617	163	10	the	the	DET
afs-95617	163	11	number	number	NOUN
afs-95617	163	12	of	of	ADP
afs-95617	163	13	markers	marker	NOUN
afs-95617	163	14	.	.	PUNCT
afs-95617	164	1	scaling	scale	VERB
afs-95617	164	2	factor	factor	NOUN
afs-95617	164	3	can	can	AUX
afs-95617	164	4	be	be	AUX
afs-95617	164	5	changed	change	VERB
afs-95617	164	6	from	from	ADP
afs-95617	164	7	the	the	DET
afs-95617	164	8	default	default	NOUN
afs-95617	164	9	with	with	ADP
afs-95617	164	10	the	the	DET
afs-95617	164	11	option	option	NOUN
afs-95617	164	12	“	"	PUNCT
afs-95617	164	13	-c	-c	X
afs-95617	164	14	kval	kval	NOUN
afs-95617	164	15	”	"	PUNCT
afs-95617	164	16	,	,	PUNCT
afs-95617	164	17	table	table	NOUN
afs-95617	164	18	3	3	NUM
afs-95617	164	19	.	.	PUNCT
afs-95617	165	1	the	the	DET
afs-95617	165	2	“	"	PUNCT
afs-95617	165	3	kval	kval	NOUN
afs-95617	165	4	”	"	PUNCT
afs-95617	165	5	has	have	VERB
afs-95617	165	6	six	six	NUM
afs-95617	165	7	alternatives	alternative	NOUN
afs-95617	165	8	:	:	PUNCT
afs-95617	165	9	1	1	NUM
afs-95617	165	10	)	)	PUNCT
afs-95617	165	11	“	"	PUNCT
afs-95617	165	12	2pq	2pq	PROPN
afs-95617	165	13	”	"	PUNCT
afs-95617	165	14	means	mean	VERB
afs-95617	165	15	dividing	divide	VERB
afs-95617	165	16	by	by	ADP
afs-95617	165	17	as	as	ADP
afs-95617	165	18	in	in	ADP
afs-95617	165	19	vanraden	vanraden	NOUN
afs-95617	165	20	method	method	NOUN
afs-95617	165	21	1	1	NUM
afs-95617	165	22	,	,	PUNCT
afs-95617	165	23	2	2	NUM
afs-95617	165	24	)	)	PUNCT
afs-95617	165	25	“	"	PUNCT
afs-95617	165	26	m	m	NOUN
afs-95617	165	27	”	"	PUNCT
afs-95617	165	28	means	mean	VERB
afs-95617	165	29	dividing	dividing	NOUN
afs-95617	165	30	by	by	ADP
afs-95617	165	31	the	the	DET
afs-95617	165	32	square	square	ADJ
afs-95617	165	33	root	root	NOUN
afs-95617	165	34	of	of	ADP
afs-95617	165	35	the	the	DET
afs-95617	165	36	number	number	NOUN
afs-95617	165	37	of	of	ADP
afs-95617	165	38	markers	marker	NOUN
afs-95617	165	39	as	as	ADP
afs-95617	165	40	in	in	ADP
afs-95617	165	41	vanraden	vanraden	NOUN
afs-95617	165	42	method	method	NOUN
afs-95617	165	43	2	2	NUM
afs-95617	165	44	,	,	PUNCT
afs-95617	165	45	3	3	NUM
afs-95617	165	46	)	)	PUNCT
afs-95617	165	47	“	"	PUNCT
afs-95617	165	48	m2	m2	PROPN
afs-95617	165	49	”	"	PUNCT
afs-95617	165	50	means	mean	VERB
afs-95617	165	51	that	that	SCONJ
afs-95617	165	52	the	the	DET
afs-95617	165	53	division	division	NOUN
afs-95617	165	54	of	of	ADP
afs-95617	165	55	markers	marker	NOUN
afs-95617	165	56	by	by	ADP
afs-95617	165	57	,	,	PUNCT
afs-95617	165	58	4	4	NUM
afs-95617	165	59	)	)	PUNCT
afs-95617	165	60	“	"	PUNCT
afs-95617	165	61	da	da	X
afs-95617	165	62	”	"	PUNCT
afs-95617	165	63	allows	allow	VERB
afs-95617	165	64	multiplication	multiplication	NOUN
afs-95617	165	65	by	by	ADP
afs-95617	165	66	the	the	DET
afs-95617	165	67	square	square	ADJ
afs-95617	165	68	root	root	NOUN
afs-95617	165	69	of	of	ADP
afs-95617	165	70	the	the	DET
afs-95617	165	71	trace	trace	NOUN
afs-95617	165	72	of	of	ADP
afs-95617	165	73	a22	a22	PROPN
afs-95617	165	74	divided	divide	VERB
afs-95617	165	75	by	by	ADP
afs-95617	165	76	the	the	DET
afs-95617	165	77	trace	trace	NOUN
afs-95617	165	78	of	of	ADP
afs-95617	165	79	zz	zz	NOUN
afs-95617	165	80	´	´	NOUN
afs-95617	165	81	,	,	PUNCT
afs-95617	165	82	i.e.	i.e.	X
afs-95617	165	83	,	,	PUNCT
afs-95617	165	84	,	,	PUNCT
afs-95617	165	85	5	5	X
afs-95617	165	86	)	)	PUNCT
afs-95617	165	87	“	"	PUNCT
afs-95617	165	88	one	one	NUM
afs-95617	165	89	”	"	PUNCT
afs-95617	165	90	means	mean	VERB
afs-95617	165	91	that	that	SCONJ
afs-95617	165	92	the	the	DET
afs-95617	165	93	diagonals	diagonal	NOUN
afs-95617	165	94	of	of	ADP
afs-95617	165	95	zz	zz	NOUN
afs-95617	165	96	´	´	NOUN
afs-95617	165	97	will	will	AUX
afs-95617	165	98	be	be	AUX
afs-95617	165	99	scaled	scale	VERB
afs-95617	165	100	to	to	PART
afs-95617	165	101	be	be	AUX
afs-95617	165	102	on	on	ADP
afs-95617	165	103	average	average	ADJ
afs-95617	165	104	one	one	NUM
afs-95617	165	105	(	(	PUNCT
afs-95617	165	106	forni	forni	PROPN
afs-95617	165	107	et	et	PROPN
afs-95617	165	108	al	al	PROPN
afs-95617	165	109	.	.	PROPN
afs-95617	165	110	2011	2011	NUM
afs-95617	165	111	)	)	PUNCT
afs-95617	165	112	,	,	PUNCT
afs-95617	165	113	and	and	CCONJ
afs-95617	165	114	6	6	X
afs-95617	165	115	)	)	PUNCT
afs-95617	165	116	“	"	PUNCT
afs-95617	165	117	no	no	INTJ
afs-95617	165	118	”	"	PUNCT
afs-95617	165	119	means	mean	VERB
afs-95617	165	120	no	no	DET
afs-95617	165	121	scaling	scaling	NOUN
afs-95617	165	122	.	.	PUNCT
afs-95617	166	1	note	note	VERB
afs-95617	166	2	that	that	SCONJ
afs-95617	166	3	when	when	SCONJ
afs-95617	166	4	“	"	PUNCT
afs-95617	166	5	-m	-m	PUNCT
afs-95617	166	6	pvr2	pvr2	NOUN
afs-95617	166	7	”	"	PUNCT
afs-95617	166	8	is	be	AUX
afs-95617	166	9	used	use	VERB
afs-95617	166	10	,	,	PUNCT
afs-95617	166	11	each	each	DET
afs-95617	166	12	marker	marker	NOUN
afs-95617	166	13	is	be	AUX
afs-95617	166	14	scaled	scale	VERB
afs-95617	166	15	by	by	ADP
afs-95617	166	16	but	but	CCONJ
afs-95617	166	17	the	the	DET
afs-95617	166	18	default	default	NOUN
afs-95617	166	19	marker	marker	NOUN
afs-95617	166	20	scaling	scaling	NOUN
afs-95617	166	21	by	by	ADP
afs-95617	166	22	can	can	AUX
afs-95617	166	23	be	be	AUX
afs-95617	166	24	changed	change	VERB
afs-95617	166	25	using	use	VERB
afs-95617	166	26	the	the	DET
afs-95617	166	27	“	"	PUNCT
afs-95617	166	28	-c	-c	NOUN
afs-95617	166	29	”	"	PUNCT
afs-95617	166	30	option	option	NOUN
afs-95617	166	31	.	.	PUNCT
afs-95617	167	1	the	the	DET
afs-95617	167	2	rpg	rpg	NOUN
afs-95617	167	3	effect	effect	NOUN
afs-95617	167	4	is	be	AUX
afs-95617	167	5	included	include	VERB
afs-95617	167	6	into	into	ADP
afs-95617	167	7	the	the	DET
afs-95617	167	8	model	model	NOUN
afs-95617	167	9	by	by	ADP
afs-95617	167	10	the	the	DET
afs-95617	167	11	option	option	NOUN
afs-95617	167	12	“	"	PUNCT
afs-95617	167	13	-w	-w	SYM
afs-95617	167	14	w	w	PROPN
afs-95617	167	15	”	"	PUNCT
afs-95617	167	16	,	,	PUNCT
afs-95617	167	17	where	where	SCONJ
afs-95617	167	18	w	w	NOUN
afs-95617	167	19	is	be	AUX
afs-95617	167	20	the	the	DET
afs-95617	167	21	rpg	rpg	ADJ
afs-95617	167	22	proportion	proportion	NOUN
afs-95617	167	23	and	and	CCONJ
afs-95617	167	24	must	must	AUX
afs-95617	167	25	be	be	AUX
afs-95617	167	26	between	between	ADP
afs-95617	167	27	zero	zero	NUM
afs-95617	167	28	and	and	CCONJ
afs-95617	167	29	one	one	NUM
afs-95617	167	30	.	.	PUNCT
afs-95617	168	1	in	in	ADP
afs-95617	168	2	order	order	NOUN
afs-95617	168	3	to	to	PART
afs-95617	168	4	include	include	VERB
afs-95617	168	5	the	the	DET
afs-95617	168	6	rpg	rpg	NOUN
afs-95617	168	7	effect	effect	NOUN
afs-95617	168	8	,	,	PUNCT
afs-95617	168	9	two	two	NUM
afs-95617	168	10	approaches	approach	NOUN
afs-95617	168	11	have	have	AUX
afs-95617	168	12	been	be	AUX
afs-95617	168	13	implemented	implement	VERB
afs-95617	168	14	in	in	ADP
afs-95617	168	15	snp_blup_rel	snp_blup_rel	PROPN
afs-95617	168	16	.	.	PUNCT
afs-95617	169	1	in	in	ADP
afs-95617	169	2	the	the	DET
afs-95617	169	3	exact	exact	ADJ
afs-95617	169	4	approach	approach	NOUN
afs-95617	169	5	based	base	VERB
afs-95617	169	6	on	on	ADP
afs-95617	169	7	model	model	NOUN
afs-95617	169	8	(	(	PUNCT
afs-95617	169	9	2	2	NUM
afs-95617	169	10	)	)	PUNCT
afs-95617	169	11	,	,	PUNCT
afs-95617	169	12	the	the	DET
afs-95617	169	13	a22	a22	NOUN
afs-95617	169	14	matrix	matrix	NOUN
afs-95617	169	15	has	have	VERB
afs-95617	169	16	to	to	PART
afs-95617	169	17	be	be	AUX
afs-95617	169	18	provided	provide	VERB
afs-95617	169	19	and	and	CCONJ
afs-95617	169	20	is	be	AUX
afs-95617	169	21	read	read	VERB
afs-95617	169	22	from	from	ADP
afs-95617	169	23	an	an	DET
afs-95617	169	24	external	external	ADJ
afs-95617	169	25	file	file	NOUN
afs-95617	169	26	(	(	PUNCT
afs-95617	169	27	“	"	PUNCT
afs-95617	169	28	-a	-a	X
afs-95617	169	29	afile	afile	NOUN
afs-95617	169	30	”	"	PUNCT
afs-95617	169	31	or	or	CCONJ
afs-95617	169	32	“	"	PUNCT
afs-95617	169	33	-alower	-alower	NOUN
afs-95617	169	34	afile	afile	NOUN
afs-95617	169	35	”	"	PUNCT
afs-95617	169	36	)	)	PUNCT
afs-95617	169	37	.	.	PUNCT
afs-95617	170	1	in	in	ADP
afs-95617	170	2	the	the	DET
afs-95617	170	3	mc	mc	PROPN
afs-95617	170	4	based	base	VERB
afs-95617	170	5	approach	approach	NOUN
afs-95617	170	6	by	by	ADP
afs-95617	170	7	mc	mc	PROPN
afs-95617	170	8	-	-	PUNCT
afs-95617	170	9	snp	snp	ADJ
afs-95617	170	10	-	-	ADJ
afs-95617	170	11	blup	blup	NOUN
afs-95617	170	12	model	model	NOUN
afs-95617	170	13	(	(	PUNCT
afs-95617	170	14	5	5	NUM
afs-95617	170	15	)	)	PUNCT
afs-95617	170	16	,	,	PUNCT
afs-95617	170	17	the	the	DET
afs-95617	170	18	pedigree	pedigree	ADJ
afs-95617	170	19	information	information	NOUN
afs-95617	170	20	has	have	VERB
afs-95617	170	21	to	to	PART
afs-95617	170	22	be	be	AUX
afs-95617	170	23	given	give	VERB
afs-95617	170	24	and	and	CCONJ
afs-95617	170	25	is	be	AUX
afs-95617	170	26	read	read	VERB
afs-95617	170	27	from	from	ADP
afs-95617	170	28	a	a	DET
afs-95617	170	29	pedigree	pedigree	ADJ
afs-95617	170	30	file	file	NOUN
afs-95617	170	31	using	use	VERB
afs-95617	170	32	the	the	DET
afs-95617	170	33	option	option	NOUN
afs-95617	170	34	“	"	PUNCT
afs-95617	170	35	-ped	-pe	VERB
afs-95617	170	36	file	file	NOUN
afs-95617	170	37	”	"	PUNCT
afs-95617	170	38	.	.	PUNCT
afs-95617	171	1	the	the	DET
afs-95617	171	2	default	default	NOUN
afs-95617	171	3	number	number	NOUN
afs-95617	171	4	of	of	ADP
afs-95617	171	5	mc	mc	PROPN
afs-95617	171	6	samples	sample	NOUN
afs-95617	171	7	is	be	AUX
afs-95617	171	8	(	(	PUNCT
afs-95617	171	9	number	number	NOUN
afs-95617	171	10	of	of	ADP
afs-95617	171	11	markers)/2	markers)/2	PROPN
afs-95617	171	12	,	,	PUNCT
afs-95617	171	13	which	which	PRON
afs-95617	171	14	can	can	AUX
afs-95617	171	15	be	be	AUX
afs-95617	171	16	optimal	optimal	ADJ
afs-95617	171	17	for	for	ADP
afs-95617	171	18	analysis	analysis	NOUN
afs-95617	171	19	of	of	ADP
afs-95617	171	20	a	a	DET
afs-95617	171	21	single	single	ADJ
afs-95617	171	22	breed	breed	NOUN
afs-95617	171	23	with	with	ADP
afs-95617	171	24	animals	animal	NOUN
afs-95617	171	25	genotyped	genotype	VERB
afs-95617	171	26	using	use	VERB
afs-95617	171	27	,	,	PUNCT
afs-95617	171	28	or	or	CCONJ
afs-95617	171	29	imputed	impute	VERB
afs-95617	171	30	to	to	ADP
afs-95617	171	31	,	,	PUNCT
afs-95617	171	32	a	a	DET
afs-95617	171	33	50k	50k	NUM
afs-95617	171	34	snp	snp	ADJ
afs-95617	171	35	chip	chip	NOUN
afs-95617	171	36	(	(	PUNCT
afs-95617	171	37	see	see	VERB
afs-95617	171	38	ben	ben	PROPN
afs-95617	171	39	zaabza	zaabza	PROPN
afs-95617	171	40	et	et	PROPN
afs-95617	171	41	al	al	PROPN
afs-95617	171	42	.	.	PROPN
afs-95617	171	43	2020	2020	NUM
afs-95617	171	44	)	)	PUNCT
afs-95617	171	45	.	.	PUNCT
afs-95617	172	1	however	however	ADV
afs-95617	172	2	,	,	PUNCT
afs-95617	172	3	the	the	DET
afs-95617	172	4	number	number	NOUN
afs-95617	172	5	of	of	ADP
afs-95617	172	6	monte	monte	PROPN
afs-95617	172	7	carlo	carlo	PROPN
afs-95617	172	8	samples	sample	NOUN
afs-95617	172	9	can	can	AUX
afs-95617	172	10	be	be	AUX
afs-95617	172	11	specified	specify	VERB
afs-95617	172	12	by	by	ADP
afs-95617	172	13	the	the	DET
afs-95617	172	14	option	option	NOUN
afs-95617	172	15	“	"	PUNCT
afs-95617	172	16	-mc	-mc	NUM
afs-95617	172	17	n	n	CCONJ
afs-95617	172	18	”	"	PUNCT
afs-95617	172	19	,	,	PUNCT
afs-95617	172	20	where	where	SCONJ
afs-95617	172	21	n	n	PRON
afs-95617	172	22	is	be	AUX
afs-95617	172	23	a	a	DET
afs-95617	172	24	positive	positive	ADJ
afs-95617	172	25	number	number	NOUN
afs-95617	172	26	.	.	PUNCT
afs-95617	173	1	the	the	DET
afs-95617	173	2	rpg	rpg	NOUN
afs-95617	173	3	effect	effect	NOUN
afs-95617	173	4	always	always	ADV
afs-95617	173	5	requires	require	VERB
afs-95617	173	6	specification	specification	NOUN
afs-95617	173	7	of	of	ADP
afs-95617	173	8	either	either	CCONJ
afs-95617	173	9	the	the	DET
afs-95617	173	10	pedigree	pedigree	NOUN
afs-95617	173	11	or	or	CCONJ
afs-95617	173	12	a22	a22	NOUN
afs-95617	173	13	-file	-file	NOUN
afs-95617	173	14	,	,	PUNCT
afs-95617	173	15	but	but	CCONJ
afs-95617	173	16	can	can	AUX
afs-95617	173	17	be	be	AUX
afs-95617	173	18	further	far	ADV
afs-95617	173	19	specified	specify	VERB
afs-95617	173	20	by	by	ADP
afs-95617	173	21	a	a	DET
afs-95617	173	22	few	few	ADJ
afs-95617	173	23	other	other	ADJ
afs-95617	173	24	options	option	NOUN
afs-95617	173	25	,	,	PUNCT
afs-95617	173	26	which	which	PRON
afs-95617	173	27	are	be	AUX
afs-95617	173	28	provided	provide	VERB
afs-95617	173	29	in	in	ADP
afs-95617	173	30	table	table	NOUN
afs-95617	173	31	2	2	NUM
afs-95617	173	32	.	.	PUNCT
afs-95617	174	1	for	for	ADP
afs-95617	174	2	example	example	NOUN
afs-95617	174	3	,	,	PUNCT
afs-95617	174	4	in	in	ADP
afs-95617	174	5	order	order	NOUN
afs-95617	174	6	to	to	PART
afs-95617	174	7	account	account	VERB
afs-95617	174	8	for	for	ADP
afs-95617	174	9	inbreeding	inbreede	VERB
afs-95617	174	10	coefficients	coefficient	NOUN
afs-95617	174	11	in	in	ADP
afs-95617	174	12	mc	mc	PROPN
afs-95617	174	13	sampling	sampling	NOUN
afs-95617	174	14	,	,	PUNCT
afs-95617	174	15	the	the	DET
afs-95617	174	16	inbreeding	inbreede	VERB
afs-95617	174	17	coefficients	coefficient	NOUN
afs-95617	174	18	need	need	VERB
afs-95617	174	19	to	to	PART
afs-95617	174	20	be	be	AUX
afs-95617	174	21	given	give	VERB
afs-95617	174	22	in	in	ADP
afs-95617	174	23	a	a	DET
afs-95617	174	24	file	file	NOUN
afs-95617	174	25	,	,	PUNCT
afs-95617	174	26	and	and	CCONJ
afs-95617	174	27	the	the	DET
afs-95617	174	28	file	file	NOUN
afs-95617	174	29	is	be	AUX
afs-95617	174	30	named	name	VERB
afs-95617	174	31	by	by	ADP
afs-95617	174	32	the	the	DET
afs-95617	174	33	option	option	NOUN
afs-95617	174	34	“	"	PUNCT
afs-95617	174	35	-f	-f	NUM
afs-95617	174	36	ffile	ffile	NOUN
afs-95617	174	37	”	"	PUNCT
afs-95617	174	38	.	.	PUNCT
afs-95617	175	1	in	in	ADP
afs-95617	175	2	the	the	DET
afs-95617	175	3	“	"	PUNCT
afs-95617	175	4	ffile	ffile	NOUN
afs-95617	175	5	”	"	PUNCT
afs-95617	175	6	,	,	PUNCT
afs-95617	175	7	the	the	DET
afs-95617	175	8	first	first	ADJ
afs-95617	175	9	column	column	NOUN
afs-95617	175	10	must	must	AUX
afs-95617	175	11	have	have	VERB
afs-95617	175	12	the	the	DET
afs-95617	175	13	i	i	PROPN
afs-95617	175	14	d	d	PROPN
afs-95617	175	15	code	code	PROPN
afs-95617	175	16	of	of	ADP
afs-95617	175	17	individual	individual	NOUN
afs-95617	175	18	.	.	PUNCT
afs-95617	176	1	by	by	ADP
afs-95617	176	2	default	default	NOUN
afs-95617	176	3	,	,	PUNCT
afs-95617	176	4	the	the	DET
afs-95617	176	5	inbreeding	inbreede	VERB
afs-95617	176	6	coefficient	coefficient	NOUN
afs-95617	176	7	is	be	AUX
afs-95617	176	8	in	in	ADP
afs-95617	176	9	the	the	DET
afs-95617	176	10	third	third	ADJ
afs-95617	176	11	column	column	NOUN
afs-95617	176	12	which	which	PRON
afs-95617	176	13	can	can	AUX
afs-95617	176	14	be	be	AUX
afs-95617	176	15	changed	change	VERB
afs-95617	176	16	by	by	ADP
afs-95617	176	17	the	the	DET
afs-95617	176	18	option	option	NOUN
afs-95617	176	19	“	"	PUNCT
afs-95617	176	20	-fcol	-fcol	ADJ
afs-95617	176	21	column	column	NOUN
afs-95617	176	22	”	"	PUNCT
afs-95617	176	23	.	.	PUNCT
afs-95617	177	1	note	note	VERB
afs-95617	177	2	that	that	SCONJ
afs-95617	177	3	when	when	SCONJ
afs-95617	177	4	a	a	DET
afs-95617	177	5	pedigree	pedigree	ADJ
afs-95617	177	6	file	file	NOUN
afs-95617	177	7	is	be	AUX
afs-95617	177	8	given	give	VERB
afs-95617	177	9	,	,	PUNCT
afs-95617	177	10	the	the	DET
afs-95617	177	11	inbreeding	inbreede	VERB
afs-95617	177	12	coefficients	coefficient	NOUN
afs-95617	177	13	file	file	NOUN
afs-95617	177	14	also	also	ADV
afs-95617	177	15	has	have	VERB
afs-95617	177	16	to	to	PART
afs-95617	177	17	be	be	AUX
afs-95617	177	18	given	give	VERB
afs-95617	177	19	.	.	PUNCT
afs-95617	178	1	the	the	DET
afs-95617	178	2	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	178	3	program	program	NOUN
afs-95617	178	4	has	have	AUX
afs-95617	178	5	been	be	AUX
afs-95617	178	6	designed	design	VERB
afs-95617	178	7	to	to	PART
afs-95617	178	8	be	be	AUX
afs-95617	178	9	flexible	flexible	ADJ
afs-95617	178	10	in	in	ADP
afs-95617	178	11	terms	term	NOUN
afs-95617	178	12	of	of	ADP
afs-95617	178	13	memory	memory	NOUN
afs-95617	178	14	need	need	NOUN
afs-95617	178	15	.	.	PUNCT
afs-95617	179	1	first	first	ADV
afs-95617	179	2	,	,	PUNCT
afs-95617	179	3	there	there	PRON
afs-95617	179	4	are	be	VERB
afs-95617	179	5	the	the	DET
afs-95617	179	6	options	option	NOUN
afs-95617	179	7	to	to	PART
afs-95617	179	8	use	use	VERB
afs-95617	179	9	approximations	approximation	NOUN
afs-95617	179	10	,	,	PUNCT
afs-95617	179	11	e.g.	e.g.	ADV
afs-95617	179	12	,	,	PUNCT
afs-95617	179	13	“	"	PUNCT
afs-95617	179	14	-s	-s	X
afs-95617	179	15	”	"	PUNCT
afs-95617	179	16	and	and	CCONJ
afs-95617	179	17	the	the	DET
afs-95617	179	18	mc	mc	PROPN
afs-95617	179	19	-	-	PUNCT
afs-95617	179	20	snp	snp	ADJ
afs-95617	179	21	-	-	ADJ
afs-95617	179	22	blup	blup	NOUN
afs-95617	179	23	approach	approach	NOUN
afs-95617	179	24	.	.	PUNCT
afs-95617	180	1	second	second	ADV
afs-95617	180	2	,	,	PUNCT
afs-95617	180	3	there	there	PRON
afs-95617	180	4	are	be	VERB
afs-95617	180	5	three	three	NUM
afs-95617	180	6	options	option	NOUN
afs-95617	180	7	that	that	PRON
afs-95617	180	8	control	control	VERB
afs-95617	180	9	the	the	DET
afs-95617	180	10	amount	amount	NOUN
afs-95617	180	11	of	of	ADP
afs-95617	180	12	used	use	VERB
afs-95617	180	13	memory	memory	NOUN
afs-95617	180	14	.	.	PUNCT
afs-95617	181	1	the	the	DET
afs-95617	181	2	option	option	NOUN
afs-95617	181	3	“	"	PUNCT
afs-95617	181	4	-memhigh	-memhigh	ADJ
afs-95617	181	5	”	"	PUNCT
afs-95617	181	6	stores	store	NOUN
afs-95617	181	7	the	the	DET
afs-95617	181	8	z	z	NOUN
afs-95617	181	9	marker	marker	NOUN
afs-95617	181	10	matrix	matrix	NOUN
afs-95617	181	11	and	and	CCONJ
afs-95617	181	12	the	the	DET
afs-95617	181	13	mc	mc	PROPN
afs-95617	181	14	samples	sample	NOUN
afs-95617	181	15	into	into	ADP
afs-95617	181	16	memory	memory	NOUN
afs-95617	181	17	in	in	ADP
afs-95617	181	18	matrix	matrix	NOUN
afs-95617	181	19	s	s	PART
afs-95617	181	20	(	(	PUNCT
afs-95617	181	21	or	or	CCONJ
afs-95617	181	22	w	w	NOUN
afs-95617	181	23	in	in	ADP
afs-95617	181	24	case	case	NOUN
afs-95617	181	25	of	of	ADP
afs-95617	181	26	model	model	NOUN
afs-95617	181	27	[	[	X
afs-95617	181	28	2	2	NUM
afs-95617	181	29	]	]	PUNCT
afs-95617	181	30	)	)	PUNCT
afs-95617	181	31	and	and	CCONJ
afs-95617	181	32	uses	use	VERB
afs-95617	181	33	the	the	DET
afs-95617	181	34	efficient	efficient	ADJ
afs-95617	181	35	dgemm	dgemm	NOUN
afs-95617	181	36	subroutine	subroutine	NOUN
afs-95617	181	37	in	in	ADP
afs-95617	181	38	lapack	lapack	NOUN
afs-95617	181	39	to	to	PART
afs-95617	181	40	calculate	calculate	VERB
afs-95617	181	41	in	in	ADP
afs-95617	181	42	(	(	PUNCT
afs-95617	181	43	7	7	NUM
afs-95617	181	44	)	)	PUNCT
afs-95617	181	45	as	as	ADP
afs-95617	181	46	a	a	DET
afs-95617	181	47	matrix	matrix	NOUN
afs-95617	181	48	by	by	ADP
afs-95617	181	49	matrix	matrix	NOUN
afs-95617	181	50	product	product	NOUN
afs-95617	181	51	.	.	PUNCT
afs-95617	182	1	this	this	PRON
afs-95617	182	2	is	be	AUX
afs-95617	182	3	the	the	DET
afs-95617	182	4	default	default	NOUN
afs-95617	182	5	option	option	NOUN
afs-95617	182	6	.	.	PUNCT
afs-95617	183	1	the	the	DET
afs-95617	183	2	option	option	NOUN
afs-95617	183	3	“	"	PUNCT
afs-95617	183	4	-mem	-mem	X
afs-95617	183	5	”	"	PUNCT
afs-95617	183	6	also	also	ADV
afs-95617	183	7	has	have	VERB
afs-95617	183	8	the	the	DET
afs-95617	183	9	s	s	PART
afs-95617	183	10	matrix	matrix	NOUN
afs-95617	183	11	in	in	ADP
afs-95617	183	12	memory	memory	NOUN
afs-95617	183	13	but	but	CCONJ
afs-95617	183	14	computes	compute	NOUN
afs-95617	183	15	by	by	ADP
afs-95617	183	16	individual	individual	ADJ
afs-95617	183	17	such	such	ADJ
afs-95617	183	18	that	that	SCONJ
afs-95617	183	19	there	there	PRON
afs-95617	183	20	is	be	VERB
afs-95617	183	21	no	no	DET
afs-95617	183	22	need	need	NOUN
afs-95617	183	23	to	to	PART
afs-95617	183	24	store	store	VERB
afs-95617	183	25	the	the	DET
afs-95617	183	26	result	result	NOUN
afs-95617	183	27	from	from	ADP
afs-95617	183	28	product	product	NOUN
afs-95617	183	29	.	.	PUNCT
afs-95617	184	1	finally	finally	ADV
afs-95617	184	2	,	,	PUNCT
afs-95617	184	3	the	the	DET
afs-95617	184	4	option	option	NOUN
afs-95617	184	5	“	"	PUNCT
afs-95617	184	6	-memlow	-memlow	NOUN
afs-95617	184	7	n	n	CCONJ
afs-95617	184	8	”	"	PUNCT
afs-95617	184	9	reads	read	VERB
afs-95617	184	10	the	the	DET
afs-95617	184	11	z	z	NOUN
afs-95617	184	12	matrix	matrix	NOUN
afs-95617	184	13	in	in	ADP
afs-95617	184	14	blocks	block	NOUN
afs-95617	184	15	of	of	ADP
afs-95617	184	16	n	n	PRON
afs-95617	184	17	individuals	individual	NOUN
afs-95617	184	18	into	into	ADP
afs-95617	184	19	memory	memory	NOUN
afs-95617	184	20	and	and	CCONJ
afs-95617	184	21	computes	compute	NOUN
afs-95617	184	22	in	in	ADP
afs-95617	184	23	(	(	PUNCT
afs-95617	184	24	4	4	NUM
afs-95617	184	25	)	)	PUNCT
afs-95617	184	26	by	by	ADP
afs-95617	184	27	individual	individual	NOUN
afs-95617	184	28	.	.	PUNCT
afs-95617	185	1	note	note	VERB
afs-95617	185	2	that	that	SCONJ
afs-95617	185	3	this	this	DET
afs-95617	185	4	option	option	NOUN
afs-95617	185	5	is	be	AUX
afs-95617	185	6	currently	currently	ADV
afs-95617	185	7	limited	limit	VERB
afs-95617	185	8	to	to	ADP
afs-95617	185	9	pure	pure	ADJ
afs-95617	185	10	snp	snp	NOUN
afs-95617	185	11	-	-	NOUN
afs-95617	185	12	blup	blup	NOUN
afs-95617	185	13	and	and	CCONJ
afs-95617	185	14	to	to	ADP
afs-95617	185	15	snp	snp	NOUN
afs-95617	185	16	-	-	NOUN
afs-95617	185	17	blup	blup	PROPN
afs-95617	185	18	with	with	ADP
afs-95617	185	19	an	an	DET
afs-95617	185	20	exactly	exactly	ADV
afs-95617	185	21	accounted	account	VERB
afs-95617	185	22	rpg	rpg	NOUN
afs-95617	185	23	effect	effect	NOUN
afs-95617	185	24	.	.	PUNCT
afs-95617	186	1	naturally	naturally	ADV
afs-95617	186	2	,	,	PUNCT
afs-95617	186	3	when	when	SCONJ
afs-95617	186	4	model	model	NOUN
afs-95617	186	5	(	(	PUNCT
afs-95617	186	6	2	2	NUM
afs-95617	186	7	)	)	PUNCT
afs-95617	186	8	is	be	AUX
afs-95617	186	9	used	use	VERB
afs-95617	186	10	,	,	PUNCT
afs-95617	186	11	only	only	ADV
afs-95617	186	12	the	the	DET
afs-95617	186	13	z	z	NOUN
afs-95617	186	14	matrix	matrix	NOUN
afs-95617	186	15	part	part	NOUN
afs-95617	186	16	in	in	ADP
afs-95617	186	17	w	w	PROPN
afs-95617	186	18	is	be	AUX
afs-95617	186	19	in	in	ADP
afs-95617	186	20	memory	memory	NOUN
afs-95617	186	21	and	and	CCONJ
afs-95617	186	22	the	the	DET
afs-95617	186	23	identity	identity	NOUN
afs-95617	186	24	matrix	matrix	NOUN
afs-95617	186	25	part	part	NOUN
afs-95617	186	26	does	do	AUX
afs-95617	186	27	not	not	PART
afs-95617	186	28	use	use	VERB
afs-95617	186	29	additional	additional	ADJ
afs-95617	186	30	memory	memory	NOUN
afs-95617	186	31	.	.	PUNCT
afs-95617	187	1	a	a	DET
afs-95617	187	2	useful	useful	ADJ
afs-95617	187	3	feature	feature	NOUN
afs-95617	187	4	of	of	ADP
afs-95617	187	5	the	the	DET
afs-95617	187	6	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	187	7	program	program	NOUN
afs-95617	187	8	is	be	AUX
afs-95617	187	9	its	its	PRON
afs-95617	187	10	ability	ability	NOUN
afs-95617	187	11	to	to	PART
afs-95617	187	12	reuse	reuse	VERB
afs-95617	187	13	the	the	DET
afs-95617	187	14	once	once	ADV
afs-95617	187	15	calculated	calculate	VERB
afs-95617	187	16	inverse	inverse	NOUN
afs-95617	187	17	of	of	ADP
afs-95617	187	18	the	the	DET
afs-95617	187	19	mme	mme	X
afs-95617	187	20	coefficient	coefficient	NOUN
afs-95617	187	21	matrix	matrix	NOUN
afs-95617	187	22	in	in	ADP
afs-95617	187	23	the	the	DET
afs-95617	187	24	calculation	calculation	NOUN
afs-95617	187	25	of	of	ADP
afs-95617	187	26	reliabilities	reliability	NOUN
afs-95617	187	27	for	for	ADP
afs-95617	187	28	candidate	candidate	NOUN
afs-95617	187	29	animals	animal	NOUN
afs-95617	187	30	.	.	PUNCT
afs-95617	188	1	the	the	DET
afs-95617	188	2	pev	pev	PROPN
afs-95617	188	3	matrix	matrix	NOUN
afs-95617	188	4	of	of	ADP
afs-95617	188	5	snp	snp	ADJ
afs-95617	188	6	effects	effect	NOUN
afs-95617	188	7	is	be	AUX
afs-95617	188	8	included	include	VERB
afs-95617	188	9	in	in	ADP
afs-95617	188	10	the	the	DET
afs-95617	188	11	inverse	inverse	NOUN
afs-95617	188	12	of	of	ADP
afs-95617	188	13	mme	mme	NOUN
afs-95617	188	14	and	and	CCONJ
afs-95617	188	15	can	can	AUX
afs-95617	188	16	be	be	AUX
afs-95617	188	17	written	write	VERB
afs-95617	188	18	into	into	ADP
afs-95617	188	19	a	a	DET
afs-95617	188	20	file	file	NOUN
afs-95617	188	21	using	use	VERB
afs-95617	188	22	option	option	NOUN
afs-95617	188	23	“	"	PUNCT
afs-95617	188	24	-icout	-icout	PROPN
afs-95617	188	25	inv_mme_file	inv_mme_file	NOUN
afs-95617	188	26	”	"	PUNCT
afs-95617	188	27	.	.	PUNCT
afs-95617	189	1	subsequently	subsequently	ADV
afs-95617	189	2	,	,	PUNCT
afs-95617	189	3	snp_blup	snp_blup	PROPN
afs-95617	189	4	_	_	PRON
afs-95617	189	5	rel	rel	NOUN
afs-95617	189	6	allows	allow	VERB
afs-95617	189	7	reading	read	VERB
afs-95617	189	8	the	the	DET
afs-95617	189	9	submatrix	submatrix	NOUN
afs-95617	189	10	of	of	ADP
afs-95617	189	11	the	the	DET
afs-95617	189	12	inverse	inverse	NOUN
afs-95617	189	13	of	of	ADP
afs-95617	189	14	mme	mme	PROPN
afs-95617	189	15	corresponding	corresponding	NOUN
afs-95617	189	16	to	to	ADP
afs-95617	189	17	the	the	DET
afs-95617	189	18	snp	snp	NOUN
afs-95617	189	19	-	-	NOUN
afs-95617	189	20	markers	marker	NOUN
afs-95617	189	21	by	by	ADP
afs-95617	189	22	the	the	DET
afs-95617	189	23	option	option	NOUN
afs-95617	189	24	“	"	PUNCT
afs-95617	189	25	-icin	-icin	ADJ
afs-95617	189	26	inv_mme_file	inv_mme_file	NOUN
afs-95617	189	27	”	"	PUNCT
afs-95617	189	28	.	.	PUNCT
afs-95617	190	1	hence	hence	ADV
afs-95617	190	2	,	,	PUNCT
afs-95617	190	3	the	the	DET
afs-95617	190	4	calculation	calculation	NOUN
afs-95617	190	5	of	of	ADP
afs-95617	190	6	the	the	DET
afs-95617	190	7	pev	pev	NOUN
afs-95617	190	8	of	of	ADP
afs-95617	190	9	genomic	genomic	ADJ
afs-95617	190	10	breeding	breeding	NOUN
afs-95617	190	11	values	value	NOUN
afs-95617	190	12	for	for	ADP
afs-95617	190	13	a	a	DET
afs-95617	190	14	new	new	ADJ
afs-95617	190	15	set	set	NOUN
afs-95617	190	16	of	of	ADP
afs-95617	190	17	genotyped	genotype	VERB
afs-95617	190	18	animals	animal	NOUN
afs-95617	190	19	can	can	AUX
afs-95617	190	20	be	be	AUX
afs-95617	190	21	done	do	VERB
afs-95617	190	22	quickly	quickly	ADV
afs-95617	190	23	without	without	ADP
afs-95617	190	24	the	the	DET
afs-95617	190	25	need	need	NOUN
afs-95617	190	26	to	to	PART
afs-95617	190	27	invert	invert	VERB
afs-95617	190	28	the	the	DET
afs-95617	190	29	coefficient	coefficient	NOUN
afs-95617	190	30	matrix	matrix	NOUN
afs-95617	190	31	of	of	ADP
afs-95617	190	32	the	the	DET
afs-95617	190	33	mme	mme	NOUN
afs-95617	190	34	when	when	SCONJ
afs-95617	190	35	no	no	DET
afs-95617	190	36	new	new	ADJ
afs-95617	190	37	phenotypes	phenotype	NOUN
afs-95617	190	38	are	be	AUX
afs-95617	190	39	table	table	NOUN
afs-95617	190	40	3	3	NUM
afs-95617	190	41	.	.	PUNCT
afs-95617	190	42	choices	choice	NOUN
afs-95617	190	43	for	for	ADP
afs-95617	190	44	the	the	DET
afs-95617	190	45	scaling	scaling	NOUN
afs-95617	190	46	of	of	ADP
afs-95617	190	47	marker	marker	NOUN
afs-95617	190	48	columns	column	NOUN
afs-95617	190	49	by	by	ADP
afs-95617	190	50	option	option	NOUN
afs-95617	190	51	-c	-c	PUNCT
afs-95617	190	52	kval	kval	NOUN
afs-95617	190	53	in	in	ADP
afs-95617	190	54	the	the	DET
afs-95617	190	55	z	z	NOUN
afs-95617	190	56	matrix	matrix	NOUN
afs-95617	190	57	value	value	NOUN
afs-95617	190	58	kval	kval	NOUN
afs-95617	190	59	description	description	NOUN
afs-95617	190	60	2pq	2pq	PROPN
afs-95617	190	61	divide	divide	VERB
afs-95617	190	62	by	by	ADP
afs-95617	190	63	,	,	PUNCT
afs-95617	190	64	default	default	NOUN
afs-95617	190	65	for	for	ADP
afs-95617	190	66	vanraden	vanraden	NOUN
afs-95617	190	67	method	method	NOUN
afs-95617	190	68	1	1	NUM
afs-95617	190	69	(	(	PUNCT
afs-95617	190	70	-m	-m	X
afs-95617	190	71	pvr1	pvr1	PROPN
afs-95617	190	72	)	)	PUNCT
afs-95617	191	1	m	m	VERB
afs-95617	191	2	divide	divide	VERB
afs-95617	191	3	by	by	ADP
afs-95617	191	4	the	the	DET
afs-95617	191	5	number	number	NOUN
afs-95617	191	6	of	of	ADP
afs-95617	191	7	markers	marker	NOUN
afs-95617	191	8	or	or	CCONJ
afs-95617	191	9	,	,	PUNCT
afs-95617	191	10	default	default	NOUN
afs-95617	191	11	for	for	ADP
afs-95617	191	12	vanraden	vanraden	NOUN
afs-95617	191	13	method	method	NOUN
afs-95617	191	14	2	2	NUM
afs-95617	191	15	(	(	PUNCT
afs-95617	191	16	-m	-m	X
afs-95617	191	17	pvr2	pvr2	PROPN
afs-95617	191	18	)	)	PUNCT
afs-95617	191	19	m2	m2	PROPN
afs-95617	191	20	divide	divide	NOUN
afs-95617	191	21	by	by	ADP
afs-95617	191	22	da	da	ADJ
afs-95617	191	23	scale	scale	NOUN
afs-95617	191	24	z	z	NOUN
afs-95617	191	25	such	such	ADJ
afs-95617	191	26	that	that	SCONJ
afs-95617	191	27	the	the	DET
afs-95617	191	28	average	average	ADJ
afs-95617	191	29	diagonal	diagonal	NOUN
afs-95617	191	30	of	of	ADP
afs-95617	191	31	zz	zz	PROPN
afs-95617	191	32	’	'	PUNCT
afs-95617	191	33	will	will	AUX
afs-95617	191	34	be	be	AUX
afs-95617	191	35	equal	equal	ADJ
afs-95617	191	36	to	to	ADP
afs-95617	191	37	the	the	DET
afs-95617	191	38	average	average	ADJ
afs-95617	191	39	diagonal	diagonal	NOUN
afs-95617	191	40	of	of	ADP
afs-95617	191	41	a22	a22	PROPN
afs-95617	191	42	one	one	NUM
afs-95617	191	43	scale	scale	NOUN
afs-95617	191	44	z	z	NOUN
afs-95617	191	45	such	such	ADJ
afs-95617	191	46	that	that	SCONJ
afs-95617	191	47	the	the	DET
afs-95617	191	48	average	average	ADJ
afs-95617	191	49	diagonal	diagonal	NOUN
afs-95617	191	50	of	of	ADP
afs-95617	191	51	zz	zz	PROPN
afs-95617	191	52	’	'	PUNCT
afs-95617	191	53	will	will	AUX
afs-95617	191	54	be	be	AUX
afs-95617	191	55	one	one	NUM
afs-95617	191	56	no	no	PRON
afs-95617	191	57	no	no	DET
afs-95617	191	58	scaling	scaling	NOUN
afs-95617	191	59	,	,	PUNCT
afs-95617	191	60	default	default	NOUN
afs-95617	191	61	for	for	ADP
afs-95617	191	62	“	"	PUNCT
afs-95617	191	63	-m	-m	X
afs-95617	191	64	raw	raw	ADJ
afs-95617	191	65	”	"	PUNCT
afs-95617	191	66	and	and	CCONJ
afs-95617	191	67	“	"	PUNCT
afs-95617	191	68	-m	-m	NUM
afs-95617	191	69	101	101	NUM
afs-95617	191	70	”	"	PUNCT
afs-95617	191	71	�	�	PROPN
afs-95617	191	72	�	�	PROPN
afs-95617	191	73	2pl	2pl	ADJ
afs-95617	191	74	�	�	PROPN
afs-95617	191	75	1	1	NUM
afs-95617	191	76	-	-	SYM
afs-95617	191	77	pl	pl	X
afs-95617	191	78	�	�	PROPN
afs-95617	191	79	m	m	PROPN
afs-95617	191	80	l=1	l=1	PROPN
afs-95617	191	81	�	�	PROPN
afs-95617	191	82	m/2	m/2	NUM
afs-95617	191	83	�	�	PROPN
afs-95617	191	84	�	�	PROPN
afs-95617	191	85	2pl	2pl	ADJ
afs-95617	191	86	�	�	PROPN
afs-95617	191	87	1	1	NUM
afs-95617	191	88	-	-	SYM
afs-95617	191	89	pl	pl	X
afs-95617	191	90	�	�	PROPN
afs-95617	191	91	m	m	PROPN
afs-95617	191	92	l=1	l=1	PROPN
afs-95617	191	93	�	�	PROPN
afs-95617	191	94	m/2	m/2	NUM
afs-95617	191	95	�	�	PROPN
afs-95617	191	96	𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡(a22	𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡(a22	PROPN
afs-95617	191	97	)	)	PUNCT
afs-95617	191	98	𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡(zzʹ)⁄	𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡(zzʹ)⁄	VERB
afs-95617	191	99	�	�	PROPN
afs-95617	191	100	2pk	2pk	NOUN
afs-95617	191	101	�	�	NOUN
afs-95617	191	102	1	1	NUM
afs-95617	191	103	-	-	PUNCT
afs-95617	191	104	pk	pk	NOUN
afs-95617	191	105	�	�	NOUN
afs-95617	191	106	sics	sic	NOUN
afs-95617	191	107	vv	vv	ADP
afs-95617	191	108	scs	scs	PROPN
afs-95617	191	109	vv	vv	PROPN
afs-95617	191	110	wicuu	wicuu	NOUN
afs-95617	191	111	scs	scs	PROPN
afs-95617	191	112	vv	vv	PROPN
afs-95617	191	113	sics	sic	NOUN
afs-95617	191	114	vv	vv	ADP
afs-95617	191	115	√m	√m	NOUN
afs-95617	191	116	√m	√m	NUM
afs-95617	191	117	√m	√m	VERB
afs-95617	191	118	agricultural	agricultural	ADJ
afs-95617	191	119	and	and	CCONJ
afs-95617	191	120	food	food	NOUN
afs-95617	191	121	science	science	PROPN
afs-95617	191	122	h.	h.	PROPN
afs-95617	191	123	ben	ben	PROPN
afs-95617	191	124	zaabza	zaabza	PROPN
afs-95617	191	125	et	et	PROPN
afs-95617	191	126	al	al	PROPN
afs-95617	191	127	.	.	PROPN
afs-95617	192	1	(	(	PUNCT
afs-95617	192	2	2020	2020	NUM
afs-95617	192	3	)	)	PUNCT
afs-95617	192	4	29	29	NUM
afs-95617	192	5	:	:	PUNCT
afs-95617	193	1	297–306	297–306	NUM
afs-95617	193	2	303	303	NUM
afs-95617	193	3	available	available	ADJ
afs-95617	193	4	.	.	PUNCT
afs-95617	194	1	the	the	DET
afs-95617	194	2	default	default	NOUN
afs-95617	194	3	format	format	NOUN
afs-95617	194	4	of	of	ADP
afs-95617	194	5	the	the	DET
afs-95617	194	6	inverse	inverse	ADJ
afs-95617	194	7	mme	mme	NOUN
afs-95617	194	8	matrix	matrix	NOUN
afs-95617	194	9	file	file	NOUN
afs-95617	194	10	is	be	AUX
afs-95617	194	11	binary	binary	ADJ
afs-95617	194	12	.	.	PUNCT
afs-95617	195	1	however	however	ADV
afs-95617	195	2	,	,	PUNCT
afs-95617	195	3	when	when	SCONJ
afs-95617	195	4	the	the	DET
afs-95617	195	5	file	file	NOUN
afs-95617	195	6	name	name	NOUN
afs-95617	195	7	ends	end	VERB
afs-95617	195	8	in	in	ADP
afs-95617	195	9	“	"	PUNCT
afs-95617	195	10	.txt	.txt	PROPN
afs-95617	195	11	”	"	PUNCT
afs-95617	195	12	,	,	PUNCT
afs-95617	195	13	the	the	DET
afs-95617	195	14	matrix	matrix	NOUN
afs-95617	195	15	is	be	AUX
afs-95617	195	16	written	write	VERB
afs-95617	195	17	in	in	ADP
afs-95617	195	18	coordinate	coordinate	NOUN
afs-95617	195	19	or	or	CCONJ
afs-95617	195	20	ijv	ijv	PROPN
afs-95617	195	21	format	format	NOUN
afs-95617	195	22	as	as	ADP
afs-95617	195	23	a	a	DET
afs-95617	195	24	regular	regular	ADJ
afs-95617	195	25	text	text	NOUN
afs-95617	195	26	file	file	NOUN
afs-95617	195	27	.	.	PUNCT
afs-95617	196	1	this	this	PRON
afs-95617	196	2	is	be	AUX
afs-95617	196	3	slower	slow	ADJ
afs-95617	196	4	to	to	PART
afs-95617	196	5	write	write	VERB
afs-95617	196	6	and	and	CCONJ
afs-95617	196	7	read	read	VERB
afs-95617	196	8	than	than	ADP
afs-95617	196	9	the	the	DET
afs-95617	196	10	binary	binary	ADJ
afs-95617	196	11	format	format	NOUN
afs-95617	196	12	but	but	CCONJ
afs-95617	196	13	allows	allow	VERB
afs-95617	196	14	importing	import	VERB
afs-95617	196	15	the	the	DET
afs-95617	196	16	matrix	matrix	NOUN
afs-95617	196	17	to	to	ADP
afs-95617	196	18	other	other	ADJ
afs-95617	196	19	programs	program	NOUN
afs-95617	196	20	.	.	PUNCT
afs-95617	197	1	examples	example	NOUN
afs-95617	197	2	we	we	PRON
afs-95617	197	3	illustrate	illustrate	VERB
afs-95617	197	4	the	the	DET
afs-95617	197	5	use	use	NOUN
afs-95617	197	6	of	of	ADP
afs-95617	197	7	the	the	DET
afs-95617	197	8	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	197	9	program	program	NOUN
afs-95617	197	10	in	in	ADP
afs-95617	197	11	calculating	calculate	VERB
afs-95617	197	12	genomic	genomic	NOUN
afs-95617	197	13	reliabilities	reliability	NOUN
afs-95617	197	14	in	in	ADP
afs-95617	197	15	snp	snp	ADJ
afs-95617	197	16	-	-	ADJ
afs-95617	197	17	blup	blup	PROPN
afs-95617	197	18	and	and	CCONJ
afs-95617	197	19	mc	mc	PROPN
afs-95617	197	20	-	-	PUNCT
afs-95617	197	21	snpblup	snpblup	PROPN
afs-95617	197	22	models	model	NOUN
afs-95617	197	23	by	by	ADP
afs-95617	197	24	a	a	DET
afs-95617	197	25	small	small	ADJ
afs-95617	197	26	example	example	NOUN
afs-95617	197	27	,	,	PUNCT
afs-95617	197	28	see	see	VERB
afs-95617	197	29	supplementary	supplementary	ADJ
afs-95617	197	30	materials	material	NOUN
afs-95617	197	31	for	for	ADP
afs-95617	197	32	the	the	DET
afs-95617	197	33	data	datum	NOUN
afs-95617	197	34	.	.	PUNCT
afs-95617	198	1	in	in	ADP
afs-95617	198	2	the	the	DET
afs-95617	198	3	first	first	ADJ
afs-95617	198	4	example	example	NOUN
afs-95617	198	5	,	,	PUNCT
afs-95617	198	6	the	the	DET
afs-95617	198	7	individual	individual	ADJ
afs-95617	198	8	reliabilities	reliability	NOUN
afs-95617	198	9	are	be	AUX
afs-95617	198	10	calculated	calculate	VERB
afs-95617	198	11	by	by	ADP
afs-95617	198	12	a	a	DET
afs-95617	198	13	snp	snp	ADJ
afs-95617	198	14	-	-	ADJ
afs-95617	198	15	blup	blup	PROPN
afs-95617	198	16	model	model	NOUN
afs-95617	198	17	.	.	PUNCT
afs-95617	199	1	the	the	DET
afs-95617	199	2	genotypes	genotype	NOUN
afs-95617	199	3	are	be	AUX
afs-95617	199	4	in	in	ADP
afs-95617	199	5	the	the	DET
afs-95617	199	6	file	file	NOUN
afs-95617	199	7	markers.snp	markers.snp	X
afs-95617	199	8	.	.	NOUN
afs-95617	200	1	we	we	PRON
afs-95617	200	2	use	use	VERB
afs-95617	200	3	vanraden	vanraden	NOUN
afs-95617	200	4	method	method	NOUN
afs-95617	200	5	1	1	NUM
afs-95617	200	6	,	,	PUNCT
afs-95617	200	7	and	and	CCONJ
afs-95617	200	8	a	a	DET
afs-95617	200	9	heritability	heritability	NOUN
afs-95617	200	10	of	of	ADP
afs-95617	200	11	40	40	NUM
afs-95617	200	12	%	%	NOUN
afs-95617	200	13	.	.	PUNCT
afs-95617	201	1	this	this	DET
afs-95617	201	2	analysis	analysis	NOUN
afs-95617	201	3	is	be	AUX
afs-95617	201	4	carried	carry	VERB
afs-95617	201	5	out	out	ADP
afs-95617	201	6	by	by	ADP
afs-95617	201	7	the	the	DET
afs-95617	201	8	command	command	NOUN
afs-95617	201	9	:	:	PUNCT
afs-95617	201	10	reliabilities	reliability	NOUN
afs-95617	201	11	and	and	CCONJ
afs-95617	201	12	other	other	ADJ
afs-95617	201	13	information	information	NOUN
afs-95617	201	14	are	be	AUX
afs-95617	201	15	written	write	VERB
afs-95617	201	16	to	to	PART
afs-95617	201	17	file	file	VERB
afs-95617	201	18	first_rel.out	first_rel.out	NOUN
afs-95617	201	19	.	.	PUNCT
afs-95617	202	1	the	the	DET
afs-95617	202	2	file	file	NOUN
afs-95617	202	3	has	have	VERB
afs-95617	202	4	five	five	NUM
afs-95617	202	5	columns	column	NOUN
afs-95617	202	6	(	(	PUNCT
afs-95617	202	7	table	table	NOUN
afs-95617	202	8	4	4	NUM
afs-95617	202	9	)	)	PUNCT
afs-95617	202	10	.	.	PUNCT
afs-95617	203	1	the	the	DET
afs-95617	203	2	first	first	ADJ
afs-95617	203	3	column	column	NOUN
afs-95617	203	4	has	have	VERB
afs-95617	203	5	the	the	DET
afs-95617	203	6	i	i	PROPN
afs-95617	203	7	d	d	PROPN
afs-95617	203	8	code	code	PROPN
afs-95617	203	9	,	,	PUNCT
afs-95617	203	10	and	and	CCONJ
afs-95617	203	11	the	the	DET
afs-95617	203	12	last	last	ADJ
afs-95617	203	13	column	column	NOUN
afs-95617	203	14	has	have	VERB
afs-95617	203	15	the	the	DET
afs-95617	203	16	reliability	reliability	NOUN
afs-95617	203	17	.	.	PUNCT
afs-95617	204	1	in	in	ADP
afs-95617	204	2	practice	practice	NOUN
afs-95617	204	3	,	,	PUNCT
afs-95617	204	4	the	the	DET
afs-95617	204	5	genotypes	genotype	NOUN
afs-95617	204	6	of	of	ADP
afs-95617	204	7	candidate	candidate	NOUN
afs-95617	204	8	animals	animal	NOUN
afs-95617	204	9	can	can	AUX
afs-95617	204	10	become	become	VERB
afs-95617	204	11	available	available	ADJ
afs-95617	204	12	after	after	SCONJ
afs-95617	204	13	genomic	genomic	ADJ
afs-95617	204	14	breeding	breeding	NOUN
afs-95617	204	15	values	value	NOUN
afs-95617	204	16	and	and	CCONJ
afs-95617	204	17	their	their	PRON
afs-95617	204	18	reliabilities	reliability	NOUN
afs-95617	204	19	have	have	AUX
afs-95617	204	20	been	be	AUX
afs-95617	204	21	calculated	calculate	VERB
afs-95617	204	22	for	for	ADP
afs-95617	204	23	the	the	DET
afs-95617	204	24	animals	animal	NOUN
afs-95617	204	25	with	with	ADP
afs-95617	204	26	phenotypes	phenotype	NOUN
afs-95617	204	27	.	.	PUNCT
afs-95617	205	1	in	in	ADP
afs-95617	205	2	that	that	DET
afs-95617	205	3	case	case	NOUN
afs-95617	205	4	,	,	PUNCT
afs-95617	205	5	the	the	DET
afs-95617	205	6	heavy	heavy	ADJ
afs-95617	205	7	computations	computation	NOUN
afs-95617	205	8	have	have	AUX
afs-95617	205	9	been	be	AUX
afs-95617	205	10	already	already	ADV
afs-95617	205	11	done	do	VERB
afs-95617	205	12	,	,	PUNCT
afs-95617	205	13	and	and	CCONJ
afs-95617	205	14	the	the	DET
afs-95617	205	15	calculation	calculation	NOUN
afs-95617	205	16	of	of	ADP
afs-95617	205	17	candidate	candidate	NOUN
afs-95617	205	18	animal	animal	NOUN
afs-95617	205	19	breeding	breeding	NOUN
afs-95617	205	20	values	value	NOUN
afs-95617	205	21	can	can	AUX
afs-95617	205	22	be	be	AUX
afs-95617	205	23	based	base	VERB
afs-95617	205	24	on	on	ADP
afs-95617	205	25	already	already	ADV
afs-95617	205	26	calculated	calculate	VERB
afs-95617	205	27	information	information	NOUN
afs-95617	205	28	when	when	SCONJ
afs-95617	205	29	it	it	PRON
afs-95617	205	30	has	have	AUX
afs-95617	205	31	been	be	AUX
afs-95617	205	32	stored	store	VERB
afs-95617	205	33	to	to	ADP
afs-95617	205	34	a	a	DET
afs-95617	205	35	file	file	NOUN
afs-95617	205	36	.	.	PUNCT
afs-95617	206	1	the	the	DET
afs-95617	206	2	following	follow	VERB
afs-95617	206	3	program	program	NOUN
afs-95617	206	4	calls	call	NOUN
afs-95617	206	5	describe	describe	VERB
afs-95617	206	6	a	a	DET
afs-95617	206	7	simple	simple	ADJ
afs-95617	206	8	set	set	VERB
afs-95617	206	9	up	up	ADP
afs-95617	206	10	for	for	ADP
afs-95617	206	11	an	an	DET
afs-95617	206	12	evaluation	evaluation	NOUN
afs-95617	206	13	system	system	NOUN
afs-95617	206	14	where	where	SCONJ
afs-95617	206	15	the	the	DET
afs-95617	206	16	second	second	ADJ
afs-95617	206	17	call	call	NOUN
afs-95617	206	18	for	for	ADP
afs-95617	206	19	the	the	DET
afs-95617	206	20	candidate	candidate	NOUN
afs-95617	206	21	animals	animal	NOUN
afs-95617	206	22	is	be	AUX
afs-95617	206	23	done	do	VERB
afs-95617	206	24	later	later	ADV
afs-95617	206	25	.	.	PUNCT
afs-95617	207	1	the	the	DET
afs-95617	207	2	first	first	ADJ
afs-95617	207	3	call	call	NOUN
afs-95617	207	4	calculates	calculate	VERB
afs-95617	207	5	the	the	DET
afs-95617	207	6	reliabilities	reliability	NOUN
afs-95617	207	7	as	as	ADP
afs-95617	207	8	in	in	ADP
afs-95617	207	9	the	the	DET
afs-95617	207	10	first	first	ADJ
afs-95617	207	11	example	example	NOUN
afs-95617	207	12	,	,	PUNCT
afs-95617	207	13	but	but	CCONJ
afs-95617	207	14	requests	request	VERB
afs-95617	207	15	storing	storing	NOUN
afs-95617	207	16	of	of	ADP
afs-95617	207	17	the	the	DET
afs-95617	207	18	inverse	inverse	NOUN
afs-95617	207	19	of	of	ADP
afs-95617	207	20	the	the	DET
afs-95617	207	21	mme	mme	X
afs-95617	207	22	coefficient	coefficient	NOUN
afs-95617	207	23	matrix	matrix	NOUN
afs-95617	207	24	:	:	PUNCT
afs-95617	207	25	snp_blup_rel	snp_blup_rel	ADV
afs-95617	207	26	-icout	-icout	PROPN
afs-95617	207	27	first_imme.out	first_imme.out	NOUN
afs-95617	207	28	-m	-m	PUNCT
afs-95617	207	29	pvr1	pvr1	NOUN
afs-95617	207	30	-h2	-h2	PUNCT
afs-95617	207	31	0.4	0.4	NUM
afs-95617	207	32	markers.snp	markers.snp	X
afs-95617	207	33	first_rel.out	first_rel.out	ADP
afs-95617	207	34	in	in	ADP
afs-95617	207	35	the	the	DET
afs-95617	207	36	second	second	ADJ
afs-95617	207	37	call	call	NOUN
afs-95617	207	38	,	,	PUNCT
afs-95617	207	39	it	it	PRON
afs-95617	207	40	is	be	AUX
afs-95617	207	41	possible	possible	ADJ
afs-95617	207	42	to	to	PART
afs-95617	207	43	use	use	VERB
afs-95617	207	44	this	this	DET
afs-95617	207	45	inverse	inverse	ADJ
afs-95617	207	46	matrix	matrix	NOUN
afs-95617	207	47	for	for	ADP
afs-95617	207	48	the	the	DET
afs-95617	207	49	candidate	candidate	NOUN
afs-95617	207	50	animals	animal	NOUN
afs-95617	207	51	,	,	PUNCT
afs-95617	207	52	which	which	PRON
afs-95617	207	53	in	in	ADP
afs-95617	207	54	this	this	DET
afs-95617	207	55	simple	simple	ADJ
afs-95617	207	56	example	example	NOUN
afs-95617	207	57	are	be	AUX
afs-95617	207	58	the	the	DET
afs-95617	207	59	reference	reference	NOUN
afs-95617	207	60	animals	animal	NOUN
afs-95617	207	61	,	,	PUNCT
afs-95617	207	62	without	without	ADP
afs-95617	207	63	the	the	DET
afs-95617	207	64	need	need	NOUN
afs-95617	207	65	to	to	PART
afs-95617	207	66	build	build	VERB
afs-95617	207	67	and	and	CCONJ
afs-95617	207	68	invert	invert	VERB
afs-95617	207	69	the	the	DET
afs-95617	207	70	mme	mme	NOUN
afs-95617	207	71	matrix	matrix	NOUN
afs-95617	207	72	again	again	ADV
afs-95617	207	73	:	:	PUNCT
afs-95617	207	74	snp_blup_rel	snp_blup_rel	ADV
afs-95617	207	75	-icin	-icin	PROPN
afs-95617	207	76	first_imme.out	first_imme.out	PROPN
afs-95617	207	77	-m	-m	PUNCT
afs-95617	207	78	pvr1	pvr1	NOUN
afs-95617	207	79	markers.snp	markers.snp	X
afs-95617	207	80	first_rel_again.out	first_rel_again.out	NOUN
afs-95617	207	81	note	note	NOUN
afs-95617	207	82	that	that	SCONJ
afs-95617	207	83	now	now	ADV
afs-95617	207	84	the	the	DET
afs-95617	207	85	program	program	NOUN
afs-95617	207	86	has	have	AUX
afs-95617	207	87	to	to	PART
afs-95617	207	88	be	be	AUX
afs-95617	207	89	informed	inform	VERB
afs-95617	207	90	that	that	SCONJ
afs-95617	207	91	the	the	DET
afs-95617	207	92	centering	center	VERB
afs-95617	207	93	and	and	CCONJ
afs-95617	207	94	scaling	scaling	NOUN
afs-95617	207	95	is	be	AUX
afs-95617	207	96	by	by	ADP
afs-95617	207	97	vanraden	vanraden	NOUN
afs-95617	207	98	method	method	NOUN
afs-95617	207	99	1	1	NUM
afs-95617	207	100	(	(	PUNCT
afs-95617	207	101	“	"	PUNCT
afs-95617	207	102	-m	-m	X
afs-95617	207	103	pvr1	pvr1	PROPN
afs-95617	207	104	”	"	PUNCT
afs-95617	207	105	)	)	PUNCT
afs-95617	207	106	as	as	SCONJ
afs-95617	207	107	it	it	PRON
afs-95617	207	108	was	be	AUX
afs-95617	207	109	the	the	DET
afs-95617	207	110	case	case	NOUN
afs-95617	207	111	in	in	ADP
afs-95617	207	112	first	first	ADJ
afs-95617	207	113	stage	stage	NOUN
afs-95617	207	114	call	call	NOUN
afs-95617	207	115	.	.	PUNCT
afs-95617	208	1	in	in	ADP
afs-95617	208	2	practice	practice	NOUN
afs-95617	208	3	,	,	PUNCT
afs-95617	208	4	a	a	DET
afs-95617	208	5	different	different	ADJ
afs-95617	208	6	set	set	NOUN
afs-95617	208	7	of	of	ADP
afs-95617	208	8	genotyped	genotype	VERB
afs-95617	208	9	animals	animal	NOUN
afs-95617	208	10	is	be	AUX
afs-95617	208	11	given	give	VERB
afs-95617	208	12	.	.	PUNCT
afs-95617	209	1	this	this	DET
afs-95617	209	2	step	step	NOUN
afs-95617	209	3	can	can	AUX
afs-95617	209	4	be	be	AUX
afs-95617	209	5	done	do	VERB
afs-95617	209	6	quickly	quickly	ADV
afs-95617	209	7	multiple	multiple	ADJ
afs-95617	209	8	times	time	NOUN
afs-95617	209	9	for	for	ADP
afs-95617	209	10	new	new	ADJ
afs-95617	209	11	sets	set	NOUN
afs-95617	209	12	of	of	ADP
afs-95617	209	13	candidate	candidate	NOUN
afs-95617	209	14	animals	animal	NOUN
afs-95617	209	15	.	.	PUNCT
afs-95617	210	1	the	the	DET
afs-95617	210	2	inverse	inverse	NOUN
afs-95617	210	3	of	of	ADP
afs-95617	210	4	the	the	DET
afs-95617	210	5	mme	mme	X
afs-95617	210	6	coefficient	coefficient	NOUN
afs-95617	210	7	matrix	matrix	NOUN
afs-95617	210	8	is	be	AUX
afs-95617	210	9	stored	store	VERB
afs-95617	210	10	by	by	ADP
afs-95617	210	11	default	default	NOUN
afs-95617	210	12	in	in	ADP
afs-95617	210	13	binary	binary	ADJ
afs-95617	210	14	format	format	NOUN
afs-95617	210	15	in	in	ADP
afs-95617	210	16	order	order	NOUN
afs-95617	210	17	to	to	PART
afs-95617	210	18	allow	allow	VERB
afs-95617	210	19	a	a	DET
afs-95617	210	20	fast	fast	ADJ
afs-95617	210	21	read	read	NOUN
afs-95617	210	22	of	of	ADP
afs-95617	210	23	this	this	DET
afs-95617	210	24	file	file	NOUN
afs-95617	210	25	.	.	PUNCT
afs-95617	211	1	table	table	NOUN
afs-95617	211	2	4	4	NUM
afs-95617	211	3	.	.	PUNCT
afs-95617	211	4	output	output	NOUN
afs-95617	211	5	file	file	NOUN
afs-95617	211	6	from	from	ADP
afs-95617	211	7	the	the	DET
afs-95617	211	8	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	211	9	program	program	NOUN
afs-95617	211	10	for	for	ADP
afs-95617	211	11	the	the	DET
afs-95617	211	12	example	example	NOUN
afs-95617	211	13	case	case	NOUN
afs-95617	211	14	.	.	PUNCT
afs-95617	212	1	the	the	DET
afs-95617	212	2	columns	column	NOUN
afs-95617	212	3	are	be	AUX
afs-95617	212	4	animal	animal	NOUN
afs-95617	212	5	i	i	PROPN
afs-95617	212	6	d	d	PROPN
afs-95617	212	7	code	code	PROPN
afs-95617	212	8	(	(	PUNCT
afs-95617	212	9	i	i	NOUN
afs-95617	212	10	d	d	PROPN
afs-95617	212	11	)	)	PUNCT
afs-95617	212	12	,	,	PUNCT
afs-95617	212	13	weight	weight	NOUN
afs-95617	212	14	of	of	ADP
afs-95617	212	15	observation	observation	NOUN
afs-95617	212	16	(	(	PUNCT
afs-95617	212	17	obs.wt	obs.wt	PROPN
afs-95617	212	18	)	)	PUNCT
afs-95617	212	19	,	,	PUNCT
afs-95617	212	20	prediction	prediction	NOUN
afs-95617	212	21	error	error	NOUN
afs-95617	212	22	variance	variance	NOUN
afs-95617	212	23	(	(	PUNCT
afs-95617	212	24	pev	pev	NOUN
afs-95617	212	25	)	)	PUNCT
afs-95617	212	26	,	,	PUNCT
afs-95617	212	27	diagonal	diagonal	NOUN
afs-95617	212	28	of	of	ADP
afs-95617	212	29	the	the	DET
afs-95617	212	30	genomic	genomic	NOUN
afs-95617	212	31	relationship	relationship	NOUN
afs-95617	212	32	matrix	matrix	NOUN
afs-95617	212	33	(	(	PUNCT
afs-95617	212	34	diag(g	diag(g	NOUN
afs-95617	212	35	)	)	PUNCT
afs-95617	212	36	)	)	PUNCT
afs-95617	212	37	,	,	PUNCT
afs-95617	212	38	and	and	CCONJ
afs-95617	212	39	model	model	NOUN
afs-95617	212	40	reliability	reliability	NOUN
afs-95617	212	41	(	(	PUNCT
afs-95617	212	42	r2	r2	PROPN
afs-95617	212	43	)	)	PUNCT
afs-95617	212	44	.	.	PUNCT
afs-95617	213	1	i	i	PRON
afs-95617	213	2	d	d	PROPN
afs-95617	213	3	obs.wt	obs.wt	PROPN
afs-95617	213	4	pev	pev	X
afs-95617	213	5	diag(g	diag(g	NOUN
afs-95617	213	6	)	)	PUNCT
afs-95617	213	7	r2	r2	PROPN
afs-95617	213	8	11	11	NUM
afs-95617	213	9	1.00	1.00	NUM
afs-95617	213	10	0.31	0.31	NUM
afs-95617	213	11	1.01	1.01	NUM
afs-95617	213	12	0.54	0.54	NUM
afs-95617	213	13	12	12	NUM
afs-95617	213	14	1.00	1.00	NUM
afs-95617	213	15	0.21	0.21	NUM
afs-95617	213	16	0.67	0.67	NUM
afs-95617	213	17	0.54	0.54	NUM
afs-95617	213	18	13	13	NUM
afs-95617	213	19	1.00	1.00	NUM
afs-95617	213	20	0.31	0.31	NUM
afs-95617	213	21	0.96	0.96	NUM
afs-95617	213	22	0.51	0.51	NUM
afs-95617	213	23	14	14	NUM
afs-95617	213	24	1.00	1.00	NUM
afs-95617	213	25	0.19	0.19	NUM
afs-95617	213	26	0.79	0.79	NUM
afs-95617	213	27	0.63	0.63	NUM
afs-95617	213	28	15	15	NUM
afs-95617	213	29	1.00	1.00	NUM
afs-95617	213	30	0.30	0.30	NUM
afs-95617	213	31	1.16	1.16	NUM
afs-95617	213	32	0.62	0.62	NUM
afs-95617	213	33	16	16	NUM
afs-95617	213	34	1.00	1.00	NUM
afs-95617	213	35	0.31	0.31	NUM
afs-95617	213	36	1.24	1.24	NUM
afs-95617	213	37	0.63	0.63	NUM
afs-95617	213	38	17	17	NUM
afs-95617	213	39	1.00	1.00	NUM
afs-95617	213	40	0.18	0.18	NUM
afs-95617	213	41	0.60	0.60	NUM
afs-95617	213	42	0.54	0.54	NUM
afs-95617	213	43	18	18	NUM
afs-95617	213	44	1.00	1.00	NUM
afs-95617	213	45	0.15	0.15	NUM
afs-95617	213	46	0.62	0.62	NUM
afs-95617	213	47	0.63	0.63	NUM
afs-95617	213	48	19	19	NUM
afs-95617	213	49	1.00	1.00	NUM
afs-95617	213	50	0.29	0.29	NUM
afs-95617	213	51	1.03	1.03	NUM
afs-95617	213	52	0.58	0.58	NUM
afs-95617	213	53	20	20	NUM
afs-95617	213	54	1.00	1.00	NUM
afs-95617	213	55	0.30	0.30	NUM
afs-95617	213	56	1.13	1.13	NUM
afs-95617	213	57	0.61	0.61	NUM
afs-95617	213	58	21	21	NUM
afs-95617	213	59	1.00	1.00	NUM
afs-95617	213	60	0.15	0.15	NUM
afs-95617	213	61	0.50	0.50	NUM
afs-95617	213	62	0.56	0.56	NUM
afs-95617	213	63	snp_blup_rel	snp_blup_rel	ADP
afs-95617	213	64	-m	-m	PUNCT
afs-95617	213	65	pvr1	pvr1	PROPN
afs-95617	213	66	-h2	-h2	PUNCT
afs-95617	213	67	0.4	0.4	NUM
afs-95617	213	68	markers.snp	markers.snp	X
afs-95617	213	69	first_rel.out	first_rel.out	ADP
afs-95617	213	70	agricultural	agricultural	ADJ
afs-95617	213	71	and	and	CCONJ
afs-95617	213	72	food	food	NOUN
afs-95617	213	73	science	science	PROPN
afs-95617	213	74	h.	h.	PROPN
afs-95617	213	75	ben	ben	PROPN
afs-95617	213	76	zaabza	zaabza	PROPN
afs-95617	213	77	et	et	PROPN
afs-95617	213	78	al	al	PROPN
afs-95617	213	79	.	.	PROPN
afs-95617	214	1	(	(	PUNCT
afs-95617	214	2	2020	2020	NUM
afs-95617	214	3	)	)	PUNCT
afs-95617	214	4	29	29	NUM
afs-95617	214	5	:	:	PUNCT
afs-95617	215	1	297–306	297–306	NUM
afs-95617	215	2	304	304	NUM
afs-95617	215	3	in	in	ADP
afs-95617	215	4	the	the	DET
afs-95617	215	5	second	second	ADJ
afs-95617	215	6	example	example	NOUN
afs-95617	215	7	,	,	PUNCT
afs-95617	215	8	individual	individual	ADJ
afs-95617	215	9	reliabilities	reliability	NOUN
afs-95617	215	10	are	be	AUX
afs-95617	215	11	calculated	calculate	VERB
afs-95617	215	12	by	by	ADP
afs-95617	215	13	a	a	DET
afs-95617	215	14	snp	snp	ADJ
afs-95617	215	15	-	-	ADJ
afs-95617	215	16	blup	blup	NOUN
afs-95617	215	17	model	model	NOUN
afs-95617	215	18	having	have	VERB
afs-95617	215	19	an	an	DET
afs-95617	215	20	rpg	rpg	NOUN
afs-95617	215	21	effect	effect	NOUN
afs-95617	215	22	with	with	ADP
afs-95617	215	23	10	10	NUM
afs-95617	215	24	%	%	NOUN
afs-95617	215	25	weight	weight	NOUN
afs-95617	215	26	.	.	PUNCT
afs-95617	216	1	the	the	DET
afs-95617	216	2	pedigree	pedigree	PROPN
afs-95617	216	3	relationship	relationship	NOUN
afs-95617	216	4	matrix	matrix	NOUN
afs-95617	216	5	a22	a22	PROPN
afs-95617	216	6	is	be	AUX
afs-95617	216	7	in	in	ADP
afs-95617	216	8	the	the	DET
afs-95617	216	9	lower	low	ADJ
afs-95617	216	10	triangle	triangle	NOUN
afs-95617	216	11	dense	dense	ADJ
afs-95617	216	12	format	format	NOUN
afs-95617	216	13	in	in	ADP
afs-95617	216	14	file	file	NOUN
afs-95617	216	15	a22l.mat	a22l.mat	PROPN
afs-95617	216	16	(	(	PUNCT
afs-95617	216	17	see	see	VERB
afs-95617	216	18	supplementary	supplementary	ADJ
afs-95617	216	19	materials	material	NOUN
afs-95617	216	20	)	)	PUNCT
afs-95617	216	21	.	.	PUNCT
afs-95617	217	1	the	the	DET
afs-95617	217	2	command	command	NOUN
afs-95617	217	3	line	line	NOUN
afs-95617	217	4	has	have	VERB
afs-95617	217	5	two	two	NUM
afs-95617	217	6	additional	additional	ADJ
afs-95617	217	7	options	option	NOUN
afs-95617	217	8	(	(	PUNCT
afs-95617	217	9	“	"	PUNCT
afs-95617	217	10	-w	-w	PROPN
afs-95617	217	11	0.1	0.1	NUM
afs-95617	217	12	”	"	PUNCT
afs-95617	217	13	and	and	CCONJ
afs-95617	217	14	“	"	PUNCT
afs-95617	217	15	-alower	-alower	NOUN
afs-95617	217	16	a22l.mat	a22l.mat	NOUN
afs-95617	217	17	”	"	PUNCT
afs-95617	217	18	)	)	PUNCT
afs-95617	217	19	to	to	PART
afs-95617	217	20	indicate	indicate	VERB
afs-95617	217	21	the	the	DET
afs-95617	217	22	rpg	rpg	ADJ
afs-95617	217	23	effect	effect	NOUN
afs-95617	217	24	in	in	ADP
afs-95617	217	25	the	the	DET
afs-95617	217	26	model	model	NOUN
afs-95617	217	27	and	and	CCONJ
afs-95617	217	28	the	the	DET
afs-95617	217	29	use	use	NOUN
afs-95617	217	30	of	of	ADP
afs-95617	217	31	the	the	DET
afs-95617	217	32	exact	exact	ADJ
afs-95617	217	33	rpg	rpg	NOUN
afs-95617	217	34	effect	effect	NOUN
afs-95617	217	35	approach	approach	NOUN
afs-95617	217	36	.	.	PUNCT
afs-95617	218	1	this	this	DET
afs-95617	218	2	analysis	analysis	NOUN
afs-95617	218	3	is	be	AUX
afs-95617	218	4	carried	carry	VERB
afs-95617	218	5	out	out	ADP
afs-95617	218	6	by	by	ADP
afs-95617	218	7	the	the	DET
afs-95617	218	8	command	command	NOUN
afs-95617	218	9	:	:	PUNCT
afs-95617	218	10	snp_blup_rel	snp_blup_rel	PROPN
afs-95617	218	11	-m	-m	PUNCT
afs-95617	218	12	pvr1	pvr1	PROPN
afs-95617	218	13	-h2	-h2	PUNCT
afs-95617	218	14	0.4	0.4	NUM
afs-95617	218	15	-w	-w	SYM
afs-95617	218	16	0.1	0.1	NUM
afs-95617	218	17	-alower	-alower	NOUN
afs-95617	218	18	a22l.mat	a22l.mat	NOUN
afs-95617	218	19	markers.snp	markers.snp	X
afs-95617	218	20	second_rel	second_rel	X
afs-95617	218	21	_	_	SYM
afs-95617	218	22	w10.out	w10.out	NOUN
afs-95617	218	23	in	in	ADP
afs-95617	218	24	the	the	DET
afs-95617	218	25	third	third	ADJ
afs-95617	218	26	example	example	NOUN
afs-95617	218	27	,	,	PUNCT
afs-95617	218	28	the	the	DET
afs-95617	218	29	rpg	rpg	NOUN
afs-95617	218	30	effect	effect	NOUN
afs-95617	218	31	is	be	AUX
afs-95617	218	32	approximated	approximate	VERB
afs-95617	218	33	by	by	ADP
afs-95617	218	34	mc	mc	NOUN
afs-95617	218	35	sampling	sampling	NOUN
afs-95617	218	36	.	.	PUNCT
afs-95617	219	1	in	in	ADP
afs-95617	219	2	addition	addition	NOUN
afs-95617	219	3	to	to	ADP
afs-95617	219	4	the	the	DET
afs-95617	219	5	options	option	NOUN
afs-95617	219	6	of	of	ADP
afs-95617	219	7	the	the	DET
afs-95617	219	8	first	first	ADJ
afs-95617	219	9	example	example	NOUN
afs-95617	219	10	,	,	PUNCT
afs-95617	219	11	the	the	DET
afs-95617	219	12	number	number	NOUN
afs-95617	219	13	of	of	ADP
afs-95617	219	14	mc	mc	PROPN
afs-95617	219	15	samples	sample	NOUN
afs-95617	219	16	(	(	PUNCT
afs-95617	219	17	-mc	-mc	X
afs-95617	219	18	)	)	PUNCT
afs-95617	219	19	is	be	AUX
afs-95617	219	20	set	set	VERB
afs-95617	219	21	to	to	ADP
afs-95617	219	22	10000	10000	NUM
afs-95617	219	23	,	,	PUNCT
afs-95617	219	24	pedigree	pedigree	NOUN
afs-95617	219	25	(	(	PUNCT
afs-95617	219	26	-ped	-ped	NUM
afs-95617	219	27	)	)	PUNCT
afs-95617	219	28	is	be	AUX
afs-95617	219	29	in	in	ADP
afs-95617	219	30	example.ped	example.ped	NUM
afs-95617	219	31	,	,	PUNCT
afs-95617	219	32	and	and	CCONJ
afs-95617	219	33	inbreeding	inbreede	VERB
afs-95617	219	34	coefficients	coefficient	NOUN
afs-95617	219	35	(	(	PUNCT
afs-95617	219	36	-f	-f	NUM
afs-95617	219	37	)	)	PUNCT
afs-95617	219	38	are	be	AUX
afs-95617	219	39	in	in	ADP
afs-95617	219	40	the	the	DET
afs-95617	219	41	file	file	NOUN
afs-95617	219	42	example.inbr	example.inbr	PROPN
afs-95617	219	43	.	.	PROPN
afs-95617	220	1	in	in	ADP
afs-95617	220	2	this	this	DET
afs-95617	220	3	example	example	NOUN
afs-95617	220	4	,	,	PUNCT
afs-95617	220	5	all	all	DET
afs-95617	220	6	animals	animal	NOUN
afs-95617	220	7	have	have	AUX
afs-95617	220	8	inbreeding	inbreede	VERB
afs-95617	220	9	coefficient	coefficient	NOUN
afs-95617	220	10	of	of	ADP
afs-95617	220	11	zero	zero	NUM
afs-95617	220	12	.	.	PUNCT
afs-95617	221	1	this	this	DET
afs-95617	221	2	analysis	analysis	NOUN
afs-95617	221	3	is	be	AUX
afs-95617	221	4	carried	carry	VERB
afs-95617	221	5	out	out	ADP
afs-95617	221	6	by	by	ADP
afs-95617	221	7	the	the	DET
afs-95617	221	8	command	command	NOUN
afs-95617	221	9	:	:	PUNCT
afs-95617	221	10	snp_blup_rel	snp_blup_rel	PROPN
afs-95617	221	11	-m	-m	PUNCT
afs-95617	221	12	pvr1	pvr1	PROPN
afs-95617	221	13	-h2	-h2	PUNCT
afs-95617	221	14	0.4	0.4	NUM
afs-95617	221	15	-ped	-pe	VERB
afs-95617	221	16	example.ped	example.ped	X
afs-95617	221	17	-w	-w	PUNCT
afs-95617	221	18	0.1	0.1	NUM
afs-95617	221	19	-mc	-mc	NUM
afs-95617	221	20	10000	10000	NUM
afs-95617	221	21	-f	-f	NUM
afs-95617	221	22	example	example	NOUN
afs-95617	221	23	.	.	PUNCT
afs-95617	222	1	inbr	inbr	VERB
afs-95617	222	2	markers.snp	markers.snp	X
afs-95617	222	3	third_rel_mc_w10.out	third_rel_mc_w10.out	X
afs-95617	222	4	in	in	ADP
afs-95617	222	5	practice	practice	NOUN
afs-95617	222	6	,	,	PUNCT
afs-95617	222	7	number	number	NOUN
afs-95617	222	8	of	of	ADP
afs-95617	222	9	mc	mc	PROPN
afs-95617	222	10	samples	sample	NOUN
afs-95617	222	11	is	be	AUX
afs-95617	222	12	often	often	ADV
afs-95617	222	13	less	less	ADJ
afs-95617	222	14	than	than	ADP
afs-95617	222	15	the	the	DET
afs-95617	222	16	number	number	NOUN
afs-95617	222	17	of	of	ADP
afs-95617	222	18	snp	snp	ADJ
afs-95617	222	19	markers	marker	NOUN
afs-95617	222	20	but	but	CCONJ
afs-95617	222	21	in	in	ADP
afs-95617	222	22	this	this	DET
afs-95617	222	23	small	small	ADJ
afs-95617	222	24	example	example	NOUN
afs-95617	222	25	,	,	PUNCT
afs-95617	222	26	accurate	accurate	ADJ
afs-95617	222	27	mc	mc	PROPN
afs-95617	222	28	approximation	approximation	NOUN
afs-95617	222	29	requires	require	VERB
afs-95617	222	30	a	a	DET
afs-95617	222	31	high	high	ADJ
afs-95617	222	32	number	number	NOUN
afs-95617	222	33	of	of	ADP
afs-95617	222	34	mc	mc	PROPN
afs-95617	222	35	samples	sample	NOUN
afs-95617	222	36	.	.	PUNCT
afs-95617	223	1	results	result	NOUN
afs-95617	223	2	from	from	ADP
afs-95617	223	3	the	the	DET
afs-95617	223	4	second	second	ADJ
afs-95617	223	5	and	and	CCONJ
afs-95617	223	6	third	third	ADJ
afs-95617	223	7	example	example	NOUN
afs-95617	223	8	have	have	AUX
afs-95617	223	9	been	be	AUX
afs-95617	223	10	combined	combine	VERB
afs-95617	223	11	in	in	ADP
afs-95617	223	12	table	table	NOUN
afs-95617	223	13	5	5	NUM
afs-95617	223	14	.	.	PUNCT
afs-95617	223	15	ram	ram	NOUN
afs-95617	223	16	use	use	NOUN
afs-95617	223	17	table	table	NOUN
afs-95617	223	18	6	6	NUM
afs-95617	223	19	presents	present	VERB
afs-95617	223	20	the	the	DET
afs-95617	223	21	computer	computer	NOUN
afs-95617	223	22	memory	memory	NOUN
afs-95617	223	23	requirements	requirement	NOUN
afs-95617	223	24	with	with	ADP
afs-95617	223	25	different	different	ADJ
afs-95617	223	26	numbers	number	NOUN
afs-95617	223	27	of	of	ADP
afs-95617	223	28	snp	snp	ADJ
afs-95617	223	29	markers	marker	NOUN
afs-95617	223	30	,	,	PUNCT
afs-95617	223	31	defined	define	VERB
afs-95617	223	32	as	as	ADP
afs-95617	223	33	observed	observe	VERB
afs-95617	223	34	peak	peak	NOUN
afs-95617	223	35	ram	ram	NOUN
afs-95617	223	36	need	need	NOUN
afs-95617	223	37	.	.	PUNCT
afs-95617	224	1	a	a	DET
afs-95617	224	2	dataset	dataset	NOUN
afs-95617	224	3	of	of	ADP
afs-95617	224	4	19757	19757	NUM
afs-95617	224	5	genotyped	genotype	VERB
afs-95617	224	6	animals	animal	NOUN
afs-95617	224	7	was	be	AUX
afs-95617	224	8	used	use	VERB
afs-95617	224	9	where	where	SCONJ
afs-95617	224	10	every	every	DET
afs-95617	224	11	animal	animal	NOUN
afs-95617	224	12	had	have	VERB
afs-95617	224	13	one	one	NUM
afs-95617	224	14	observation	observation	NOUN
afs-95617	224	15	.	.	PUNCT
afs-95617	225	1	the	the	DET
afs-95617	225	2	number	number	NOUN
afs-95617	225	3	of	of	ADP
afs-95617	225	4	snp	snp	ADJ
afs-95617	225	5	markers	marker	NOUN
afs-95617	225	6	was	be	AUX
afs-95617	225	7	increased	increase	VERB
afs-95617	225	8	from	from	ADP
afs-95617	225	9	5000	5000	NUM
afs-95617	225	10	to	to	ADP
afs-95617	225	11	46914	46914	NUM
afs-95617	225	12	.	.	PUNCT
afs-95617	226	1	table	table	NOUN
afs-95617	226	2	7	7	NUM
afs-95617	226	3	shows	show	VERB
afs-95617	226	4	peak	peak	NOUN
afs-95617	226	5	ram	ram	NOUN
afs-95617	226	6	for	for	ADP
afs-95617	226	7	46914	46914	NUM
afs-95617	226	8	snp	snp	ADJ
afs-95617	226	9	markers	marker	NOUN
afs-95617	226	10	when	when	SCONJ
afs-95617	226	11	the	the	DET
afs-95617	226	12	number	number	NOUN
afs-95617	226	13	of	of	ADP
afs-95617	226	14	genotyped	genotype	VERB
afs-95617	226	15	individuals	individual	NOUN
afs-95617	226	16	was	be	AUX
afs-95617	226	17	increased	increase	VERB
afs-95617	226	18	from	from	ADP
afs-95617	226	19	5000	5000	NUM
afs-95617	226	20	to	to	ADP
afs-95617	226	21	19757	19757	NUM
afs-95617	226	22	.	.	PUNCT
afs-95617	227	1	in	in	ADP
afs-95617	227	2	nearly	nearly	ADV
afs-95617	227	3	all	all	PRON
afs-95617	227	4	scenarios	scenario	NOUN
afs-95617	227	5	of	of	ADP
afs-95617	227	6	the	the	DET
afs-95617	227	7	number	number	NOUN
afs-95617	227	8	of	of	ADP
afs-95617	227	9	individuals	individual	NOUN
afs-95617	227	10	,	,	PUNCT
afs-95617	227	11	the	the	DET
afs-95617	227	12	required	require	VERB
afs-95617	227	13	amount	amount	NOUN
afs-95617	227	14	of	of	ADP
afs-95617	227	15	peak	peak	NOUN
afs-95617	227	16	ram	ram	NOUN
afs-95617	227	17	when	when	SCONJ
afs-95617	227	18	using	use	VERB
afs-95617	227	19	the	the	DET
afs-95617	227	20	total	total	ADJ
afs-95617	227	21	number	number	NOUN
afs-95617	227	22	of	of	ADP
afs-95617	227	23	snp	snp	ADJ
afs-95617	227	24	markers	marker	NOUN
afs-95617	227	25	(	(	PUNCT
afs-95617	227	26	46914	46914	NUM
afs-95617	227	27	)	)	PUNCT
afs-95617	227	28	,	,	PUNCT
afs-95617	227	29	was	be	AUX
afs-95617	227	30	larger	large	ADJ
afs-95617	227	31	than	than	ADP
afs-95617	227	32	the	the	DET
afs-95617	227	33	peak	peak	NOUN
afs-95617	227	34	ram	ram	NOUN
afs-95617	227	35	used	use	VERB
afs-95617	227	36	with	with	ADP
afs-95617	227	37	a	a	DET
afs-95617	227	38	fixed	fix	VERB
afs-95617	227	39	number	number	NOUN
afs-95617	227	40	of	of	ADP
afs-95617	227	41	genotyped	genotype	VERB
afs-95617	227	42	animals	animal	NOUN
afs-95617	227	43	(	(	PUNCT
afs-95617	227	44	19757	19757	NUM
afs-95617	227	45	)	)	PUNCT
afs-95617	227	46	and	and	CCONJ
afs-95617	227	47	smaller	small	ADJ
afs-95617	227	48	number	number	NOUN
afs-95617	227	49	of	of	ADP
afs-95617	227	50	snp	snp	ADJ
afs-95617	227	51	markers	marker	NOUN
afs-95617	227	52	.	.	PUNCT
afs-95617	228	1	table	table	NOUN
afs-95617	228	2	5	5	NUM
afs-95617	228	3	.	.	PUNCT
afs-95617	228	4	results	result	NOUN
afs-95617	228	5	from	from	ADP
afs-95617	228	6	snp_blup_rel	snp_blup_rel	ADP
afs-95617	228	7	analysis	analysis	NOUN
afs-95617	228	8	with	with	ADP
afs-95617	228	9	a	a	DET
afs-95617	228	10	10	10	NUM
afs-95617	228	11	%	%	NOUN
afs-95617	228	12	rpg	rpg	NOUN
afs-95617	228	13	effect	effect	NOUN
afs-95617	228	14	for	for	ADP
afs-95617	228	15	the	the	DET
afs-95617	228	16	example	example	NOUN
afs-95617	228	17	case	case	NOUN
afs-95617	228	18	.	.	PUNCT
afs-95617	229	1	columns	column	NOUN
afs-95617	229	2	are	be	AUX
afs-95617	229	3	for	for	ADP
afs-95617	229	4	two	two	NUM
afs-95617	229	5	approaches	approach	NOUN
afs-95617	229	6	:	:	PUNCT
afs-95617	229	7	exact	exact	ADJ
afs-95617	229	8	(	(	PUNCT
afs-95617	229	9	e	e	NOUN
afs-95617	229	10	)	)	PUNCT
afs-95617	229	11	and	and	CCONJ
afs-95617	229	12	mc	mc	PROPN
afs-95617	229	13	sampling	sample	VERB
afs-95617	229	14	(	(	PUNCT
afs-95617	229	15	mc	mc	PROPN
afs-95617	229	16	)	)	PUNCT
afs-95617	229	17	.	.	PUNCT
afs-95617	230	1	the	the	DET
afs-95617	230	2	columns	column	NOUN
afs-95617	230	3	are	be	AUX
afs-95617	230	4	animal	animal	NOUN
afs-95617	230	5	i	i	PROPN
afs-95617	230	6	d	d	PROPN
afs-95617	230	7	code	code	PROPN
afs-95617	230	8	(	(	PUNCT
afs-95617	230	9	i	i	NOUN
afs-95617	230	10	d	d	PROPN
afs-95617	230	11	)	)	PUNCT
afs-95617	230	12	,	,	PUNCT
afs-95617	230	13	weight	weight	NOUN
afs-95617	230	14	of	of	ADP
afs-95617	230	15	observation	observation	NOUN
afs-95617	230	16	(	(	PUNCT
afs-95617	230	17	obs.wt	obs.wt	PROPN
afs-95617	230	18	)	)	PUNCT
afs-95617	230	19	,	,	PUNCT
afs-95617	230	20	prediction	prediction	NOUN
afs-95617	230	21	error	error	NOUN
afs-95617	230	22	variance	variance	NOUN
afs-95617	230	23	(	(	PUNCT
afs-95617	230	24	pev	pev	NOUN
afs-95617	230	25	)	)	PUNCT
afs-95617	230	26	,	,	PUNCT
afs-95617	230	27	diagonal	diagonal	NOUN
afs-95617	230	28	of	of	ADP
afs-95617	230	29	the	the	DET
afs-95617	230	30	genomic	genomic	NOUN
afs-95617	230	31	relationship	relationship	NOUN
afs-95617	230	32	matrix	matrix	NOUN
afs-95617	230	33	(	(	PUNCT
afs-95617	230	34	diag(g	diag(g	NOUN
afs-95617	230	35	)	)	PUNCT
afs-95617	230	36	)	)	PUNCT
afs-95617	230	37	,	,	PUNCT
afs-95617	230	38	and	and	CCONJ
afs-95617	230	39	model	model	NOUN
afs-95617	230	40	reliability	reliability	NOUN
afs-95617	230	41	(	(	PUNCT
afs-95617	230	42	r2	r2	PROPN
afs-95617	230	43	)	)	PUNCT
afs-95617	230	44	.	.	PUNCT
afs-95617	231	1	i	i	PRON
afs-95617	231	2	d	d	PROPN
afs-95617	231	3	obs.wt	obs.wt	PROPN
afs-95617	231	4	peve	peve	PROPN
afs-95617	231	5	pevmc	pevmc	NOUN
afs-95617	231	6	diag(g)e	diag(g)e	NOUN
afs-95617	231	7	diag(g)mc	diag(g)mc	ADJ
afs-95617	231	8	r2	r2	NOUN
afs-95617	231	9	e	e	PROPN
afs-95617	231	10	r2	r2	PROPN
afs-95617	231	11	mc	mc	PROPN
afs-95617	231	12	11	11	NUM
afs-95617	231	13	1.00	1.00	NUM
afs-95617	231	14	0.33	0.33	NUM
afs-95617	231	15	0.33	0.33	NUM
afs-95617	231	16	1.01	1.01	NUM
afs-95617	231	17	1.01	1.01	NUM
afs-95617	231	18	0.52	0.52	NUM
afs-95617	231	19	0.52	0.52	NUM
afs-95617	231	20	12	12	NUM
afs-95617	231	21	1.00	1.00	NUM
afs-95617	231	22	0.23	0.23	NUM
afs-95617	231	23	0.23	0.23	NUM
afs-95617	231	24	0.70	0.70	NUM
afs-95617	231	25	0.70	0.70	NUM
afs-95617	231	26	0.50	0.50	NUM
afs-95617	231	27	0.50	0.50	NUM
afs-95617	231	28	13	13	NUM
afs-95617	231	29	1.00	1.00	NUM
afs-95617	231	30	0.33	0.33	NUM
afs-95617	231	31	0.33	0.33	NUM
afs-95617	231	32	0.96	0.96	NUM
afs-95617	231	33	0.96	0.96	NUM
afs-95617	231	34	0.49	0.49	NUM
afs-95617	231	35	0.49	0.49	NUM
afs-95617	231	36	14	14	NUM
afs-95617	231	37	1.00	1.00	NUM
afs-95617	231	38	0.22	0.22	NUM
afs-95617	231	39	0.22	0.22	NUM
afs-95617	231	40	0.81	0.81	NUM
afs-95617	231	41	0.81	0.81	NUM
afs-95617	231	42	0.59	0.59	NUM
afs-95617	231	43	0.59	0.59	NUM
afs-95617	231	44	15	15	NUM
afs-95617	231	45	1.00	1.00	NUM
afs-95617	231	46	0.32	0.32	NUM
afs-95617	231	47	0.32	0.32	NUM
afs-95617	231	48	1.15	1.15	NUM
afs-95617	231	49	1.15	1.15	NUM
afs-95617	231	50	0.58	0.58	NUM
afs-95617	231	51	0.58	0.58	NUM
afs-95617	231	52	16	16	NUM
afs-95617	231	53	1.00	1.00	NUM
afs-95617	231	54	0.33	0.33	NUM
afs-95617	231	55	0.33	0.33	NUM
afs-95617	231	56	1.22	1.22	NUM
afs-95617	231	57	1.22	1.22	NUM
afs-95617	231	58	0.60	0.60	NUM
afs-95617	231	59	0.60	0.60	NUM
afs-95617	231	60	17	17	NUM
afs-95617	231	61	1.00	1.00	NUM
afs-95617	231	62	0.22	0.22	NUM
afs-95617	231	63	0.22	0.22	NUM
afs-95617	231	64	0.64	0.64	NUM
afs-95617	231	65	0.64	0.64	NUM
afs-95617	231	66	0.50	0.50	NUM
afs-95617	231	67	0.49	0.49	NUM
afs-95617	231	68	18	18	NUM
afs-95617	231	69	1.00	1.00	NUM
afs-95617	231	70	0.20	0.20	NUM
afs-95617	231	71	0.19	0.19	NUM
afs-95617	231	72	0.65	0.65	NUM
afs-95617	231	73	0.65	0.65	NUM
afs-95617	231	74	0.56	0.56	NUM
afs-95617	231	75	0.56	0.56	NUM
afs-95617	231	76	19	19	NUM
afs-95617	231	77	1.00	1.00	NUM
afs-95617	231	78	0.31	0.31	NUM
afs-95617	231	79	0.31	0.31	NUM
afs-95617	231	80	1.03	1.03	NUM
afs-95617	231	81	1.03	1.03	NUM
afs-95617	231	82	0.54	0.54	NUM
afs-95617	231	83	0.55	0.55	NUM
afs-95617	231	84	20	20	NUM
afs-95617	231	85	1.00	1.00	NUM
afs-95617	231	86	0.32	0.32	NUM
afs-95617	231	87	0.32	0.32	NUM
afs-95617	231	88	1.11	1.11	NUM
afs-95617	231	89	1.11	1.11	NUM
afs-95617	231	90	0.57	0.57	NUM
afs-95617	231	91	0.57	0.57	NUM
afs-95617	231	92	21	21	NUM
afs-95617	231	93	1.00	1.00	NUM
afs-95617	231	94	0.19	0.19	NUM
afs-95617	231	95	0.19	0.19	NUM
afs-95617	231	96	0.55	0.55	NUM
afs-95617	231	97	0.55	0.55	NUM
afs-95617	231	98	0.49	0.49	NUM
afs-95617	231	99	0.49	0.49	NUM
afs-95617	231	100	table	table	NOUN
afs-95617	231	101	6	6	NUM
afs-95617	231	102	.	.	PUNCT
afs-95617	231	103	peak	peak	NOUN
afs-95617	231	104	ram	ram	NOUN
afs-95617	231	105	use	use	NOUN
afs-95617	231	106	(	(	PUNCT
afs-95617	231	107	in	in	ADP
afs-95617	231	108	gb	gb	NOUN
afs-95617	231	109	)	)	PUNCT
afs-95617	231	110	for	for	ADP
afs-95617	231	111	19757	19757	NUM
afs-95617	231	112	individuals	individual	NOUN
afs-95617	231	113	and	and	CCONJ
afs-95617	231	114	an	an	DET
afs-95617	231	115	increasing	increase	VERB
afs-95617	231	116	number	number	NOUN
afs-95617	231	117	of	of	ADP
afs-95617	231	118	snps	snps	PROPN
afs-95617	231	119	(	(	PUNCT
afs-95617	231	120	5000	5000	NUM
afs-95617	231	121	to	to	ADP
afs-95617	231	122	46914	46914	NUM
afs-95617	231	123	)	)	PUNCT
afs-95617	231	124	number	number	NOUN
afs-95617	231	125	of	of	ADP
afs-95617	231	126	snps	snps	PROPN
afs-95617	231	127	5000	5000	NUM
afs-95617	231	128	10000	10000	NUM
afs-95617	231	129	20000	20000	NUM
afs-95617	231	130	30000	30000	NUM
afs-95617	231	131	40000	40000	NUM
afs-95617	231	132	46914	46914	NUM
afs-95617	231	133	ram	ram	NOUN
afs-95617	231	134	(	(	PUNCT
afs-95617	231	135	gb	gb	NOUN
afs-95617	231	136	)	)	PUNCT
afs-95617	231	137	1.77	1.77	NUM
afs-95617	231	138	3.34	3.34	NUM
afs-95617	231	139	8.14	8.14	NUM
afs-95617	231	140	15.21	15.21	NUM
afs-95617	231	141	24.51	24.51	NUM
afs-95617	231	142	32.24	32.24	NUM
afs-95617	231	143	table	table	NOUN
afs-95617	231	144	7	7	NUM
afs-95617	231	145	.	.	PUNCT
afs-95617	231	146	peak	peak	NOUN
afs-95617	231	147	ram	ram	NOUN
afs-95617	231	148	use	use	NOUN
afs-95617	231	149	(	(	PUNCT
afs-95617	231	150	in	in	ADP
afs-95617	231	151	gb	gb	NOUN
afs-95617	231	152	)	)	PUNCT
afs-95617	231	153	for	for	ADP
afs-95617	231	154	46914	46914	NUM
afs-95617	231	155	snp	snp	ADJ
afs-95617	231	156	markers	marker	NOUN
afs-95617	231	157	and	and	CCONJ
afs-95617	231	158	an	an	DET
afs-95617	231	159	increasing	increase	VERB
afs-95617	231	160	number	number	NOUN
afs-95617	231	161	of	of	ADP
afs-95617	231	162	individuals	individual	NOUN
afs-95617	231	163	from	from	ADP
afs-95617	231	164	5000	5000	NUM
afs-95617	231	165	to	to	ADP
afs-95617	231	166	19757	19757	NUM
afs-95617	231	167	number	number	NOUN
afs-95617	231	168	of	of	ADP
afs-95617	231	169	individuals	individual	NOUN
afs-95617	231	170	5000	5000	NUM
afs-95617	231	171	10000	10000	NUM
afs-95617	231	172	15000	15000	NUM
afs-95617	231	173	19757	19757	NUM
afs-95617	231	174	ram	ram	NOUN
afs-95617	231	175	(	(	PUNCT
afs-95617	231	176	gb	gb	NOUN
afs-95617	231	177	)	)	PUNCT
afs-95617	231	178	27	27	NUM
afs-95617	231	179	.	.	PUNCT
afs-95617	232	1	13	13	NUM
afs-95617	232	2	28.83	28.83	NUM
afs-95617	232	3	30.58	30.58	NUM
afs-95617	232	4	32.24	32.24	NUM
afs-95617	232	5	agricultural	agricultural	ADJ
afs-95617	232	6	and	and	CCONJ
afs-95617	232	7	food	food	NOUN
afs-95617	232	8	science	science	PROPN
afs-95617	232	9	h.	h.	PROPN
afs-95617	232	10	ben	ben	PROPN
afs-95617	232	11	zaabza	zaabza	PROPN
afs-95617	232	12	et	et	PROPN
afs-95617	232	13	al	al	PROPN
afs-95617	232	14	.	.	PROPN
afs-95617	232	15	(	(	PUNCT
afs-95617	232	16	2020	2020	NUM
afs-95617	232	17	)	)	PUNCT
afs-95617	232	18	29	29	NUM
afs-95617	232	19	:	:	PUNCT
afs-95617	232	20	297–306	297–306	NUM
afs-95617	232	21	305	305	NUM
afs-95617	232	22	computing	computing	NOUN
afs-95617	232	23	time	time	NOUN
afs-95617	232	24	the	the	DET
afs-95617	232	25	computing	computing	NOUN
afs-95617	232	26	times	time	NOUN
afs-95617	232	27	for	for	ADP
afs-95617	232	28	a	a	DET
afs-95617	232	29	fixed	fix	VERB
afs-95617	232	30	number	number	NOUN
afs-95617	232	31	of	of	ADP
afs-95617	232	32	snp	snp	ADJ
afs-95617	232	33	markers	marker	NOUN
afs-95617	232	34	were	be	AUX
afs-95617	232	35	linearly	linearly	ADV
afs-95617	232	36	related	relate	VERB
afs-95617	232	37	to	to	ADP
afs-95617	232	38	the	the	DET
afs-95617	232	39	number	number	NOUN
afs-95617	232	40	of	of	ADP
afs-95617	232	41	genotyped	genotype	VERB
afs-95617	232	42	animals	animal	NOUN
afs-95617	232	43	(	(	PUNCT
afs-95617	232	44	fig	fig	NOUN
afs-95617	232	45	.	.	PUNCT
afs-95617	232	46	1	1	NUM
afs-95617	232	47	)	)	PUNCT
afs-95617	232	48	.	.	PUNCT
afs-95617	233	1	the	the	DET
afs-95617	233	2	computing	computing	PROPN
afs-95617	233	3	times	time	NOUN
afs-95617	233	4	for	for	ADP
afs-95617	233	5	a	a	DET
afs-95617	233	6	fixed	fix	VERB
afs-95617	233	7	number	number	NOUN
afs-95617	233	8	of	of	ADP
afs-95617	233	9	individuals	individual	NOUN
afs-95617	233	10	increased	increase	VERB
afs-95617	233	11	almost	almost	ADV
afs-95617	233	12	quadratically	quadratically	ADV
afs-95617	233	13	when	when	SCONJ
afs-95617	233	14	the	the	DET
afs-95617	233	15	number	number	NOUN
afs-95617	233	16	of	of	ADP
afs-95617	233	17	snp	snp	ADJ
afs-95617	233	18	markers	marker	NOUN
afs-95617	233	19	increased	increase	VERB
afs-95617	233	20	(	(	PUNCT
afs-95617	233	21	fig	fig	NOUN
afs-95617	233	22	.	.	PUNCT
afs-95617	233	23	2	2	NUM
afs-95617	233	24	)	)	PUNCT
afs-95617	233	25	.	.	PUNCT
afs-95617	234	1	the	the	DET
afs-95617	234	2	timings	timing	NOUN
afs-95617	234	3	are	be	AUX
afs-95617	234	4	based	base	VERB
afs-95617	234	5	on	on	ADP
afs-95617	234	6	a	a	DET
afs-95617	234	7	multi	multi	ADJ
afs-95617	234	8	-	-	ADJ
afs-95617	234	9	core	core	ADJ
afs-95617	234	10	computer	computer	NOUN
afs-95617	234	11	with	with	ADP
afs-95617	234	12	2	2	NUM
afs-95617	234	13	intel	intel	PROPN
afs-95617	234	14	xeon	xeon	PROPN
afs-95617	234	15	e5	e5	PROPN
afs-95617	234	16	-	-	PUNCT
afs-95617	234	17	2680	2680	NUM
afs-95617	234	18	v.	v.	ADP
afs-95617	234	19	2	2	NUM
afs-95617	234	20	processors	processor	NOUN
afs-95617	234	21	(	(	PUNCT
afs-95617	234	22	2.8	2.8	NUM
afs-95617	234	23	ghz	ghz	NOUN
afs-95617	234	24	;	;	PUNCT
afs-95617	234	25	intel	intel	PROPN
afs-95617	234	26	corp	corp	PROPN
afs-95617	234	27	.	.	PROPN
afs-95617	234	28	,	,	PUNCT
afs-95617	234	29	santa	santa	PROPN
afs-95617	234	30	clara	clara	PROPN
afs-95617	234	31	,	,	PUNCT
afs-95617	234	32	ca	ca	NOUN
afs-95617	234	33	)	)	PUNCT
afs-95617	234	34	for	for	ADP
afs-95617	234	35	the	the	DET
afs-95617	234	36	computations	computation	NOUN
afs-95617	234	37	and	and	CCONJ
afs-95617	234	38	are	be	AUX
afs-95617	234	39	limited	limit	VERB
afs-95617	234	40	to	to	PART
afs-95617	234	41	use	use	VERB
afs-95617	234	42	at	at	ADP
afs-95617	234	43	most	most	ADJ
afs-95617	234	44	10	10	NUM
afs-95617	234	45	threads	thread	NOUN
afs-95617	234	46	.	.	PUNCT
afs-95617	235	1	conclusions	conclusion	NOUN
afs-95617	235	2	the	the	DET
afs-95617	235	3	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	235	4	is	be	AUX
afs-95617	235	5	a	a	DET
afs-95617	235	6	user	user	NOUN
afs-95617	235	7	-	-	PUNCT
afs-95617	235	8	friendly	friendly	ADJ
afs-95617	235	9	program	program	NOUN
afs-95617	235	10	for	for	ADP
afs-95617	235	11	calculating	calculate	VERB
afs-95617	235	12	model	model	NOUN
afs-95617	235	13	reliabilities	reliability	NOUN
afs-95617	235	14	for	for	ADP
afs-95617	235	15	simple	simple	ADJ
afs-95617	235	16	snp	snp	ADJ
afs-95617	235	17	-	-	ADJ
afs-95617	235	18	blup	blup	NOUN
afs-95617	235	19	models	model	NOUN
afs-95617	235	20	.	.	PUNCT
afs-95617	236	1	all	all	DET
afs-95617	236	2	computations	computation	NOUN
afs-95617	236	3	in	in	ADP
afs-95617	236	4	the	the	DET
afs-95617	236	5	program	program	NOUN
afs-95617	236	6	are	be	AUX
afs-95617	236	7	optimized	optimize	VERB
afs-95617	236	8	for	for	ADP
afs-95617	236	9	speed	speed	NOUN
afs-95617	236	10	under	under	ADP
afs-95617	236	11	different	different	ADJ
afs-95617	236	12	memory	memory	NOUN
afs-95617	236	13	requirements	requirement	NOUN
afs-95617	236	14	.	.	PUNCT
afs-95617	237	1	parallel	parallel	ADJ
afs-95617	237	2	computing	computing	NOUN
afs-95617	237	3	is	be	AUX
afs-95617	237	4	available	available	ADJ
afs-95617	237	5	through	through	ADP
afs-95617	237	6	multithreading	multithreade	VERB
afs-95617	237	7	.	.	PUNCT
afs-95617	238	1	the	the	DET
afs-95617	238	2	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	238	3	program	program	NOUN
afs-95617	238	4	integrates	integrate	VERB
afs-95617	238	5	efficient	efficient	ADJ
afs-95617	238	6	and	and	CCONJ
afs-95617	238	7	fast	fast	ADJ
afs-95617	238	8	algorithms	algorithm	NOUN
afs-95617	238	9	,	,	PUNCT
afs-95617	238	10	thus	thus	ADV
afs-95617	238	11	leading	lead	VERB
afs-95617	238	12	to	to	ADP
afs-95617	238	13	high	high	ADJ
afs-95617	238	14	computing	computing	NOUN
afs-95617	238	15	performance	performance	NOUN
afs-95617	238	16	.	.	PUNCT
afs-95617	239	1	fig	fig	NOUN
afs-95617	239	2	.	.	PUNCT
afs-95617	240	1	1	1	X
afs-95617	240	2	.	.	X
afs-95617	240	3	computing	compute	VERB
afs-95617	240	4	time	time	NOUN
afs-95617	240	5	(	(	PUNCT
afs-95617	240	6	in	in	ADP
afs-95617	240	7	seconds	second	NOUN
afs-95617	240	8	)	)	PUNCT
afs-95617	240	9	for	for	ADP
afs-95617	240	10	46914	46914	NUM
afs-95617	240	11	snp	snp	ADJ
afs-95617	240	12	markers	marker	NOUN
afs-95617	240	13	and	and	CCONJ
afs-95617	240	14	an	an	DET
afs-95617	240	15	increasing	increase	VERB
afs-95617	240	16	number	number	NOUN
afs-95617	240	17	of	of	ADP
afs-95617	240	18	individuals	individual	NOUN
afs-95617	240	19	from	from	ADP
afs-95617	240	20	5000	5000	NUM
afs-95617	240	21	to	to	ADP
afs-95617	240	22	19757	19757	NUM
afs-95617	240	23	fig	fig	NOUN
afs-95617	240	24	.	.	PUNCT
afs-95617	241	1	2	2	X
afs-95617	241	2	.	.	X
afs-95617	241	3	computing	computing	NOUN
afs-95617	241	4	time	time	NOUN
afs-95617	241	5	(	(	PUNCT
afs-95617	241	6	in	in	ADP
afs-95617	241	7	seconds	second	NOUN
afs-95617	241	8	)	)	PUNCT
afs-95617	241	9	for	for	ADP
afs-95617	241	10	19757	19757	NUM
afs-95617	241	11	individuals	individual	NOUN
afs-95617	241	12	and	and	CCONJ
afs-95617	241	13	an	an	DET
afs-95617	241	14	increasing	increase	VERB
afs-95617	241	15	number	number	NOUN
afs-95617	241	16	of	of	ADP
afs-95617	241	17	snps	snps	PROPN
afs-95617	241	18	5000	5000	NUM
afs-95617	241	19	to	to	ADP
afs-95617	241	20	46914	46914	NUM
afs-95617	241	21	agricultural	agricultural	ADJ
afs-95617	241	22	and	and	CCONJ
afs-95617	241	23	food	food	NOUN
afs-95617	241	24	science	science	PROPN
afs-95617	241	25	h.	h.	PROPN
afs-95617	241	26	ben	ben	PROPN
afs-95617	241	27	zaabza	zaabza	PROPN
afs-95617	241	28	et	et	PROPN
afs-95617	241	29	al	al	PROPN
afs-95617	241	30	.	.	PROPN
afs-95617	242	1	(	(	PUNCT
afs-95617	242	2	2020	2020	NUM
afs-95617	242	3	)	)	PUNCT
afs-95617	242	4	29	29	NUM
afs-95617	242	5	:	:	PUNCT
afs-95617	242	6	297–306	297–306	NUM
afs-95617	242	7	306	306	NUM
afs-95617	242	8	availability	availability	NOUN
afs-95617	242	9	and	and	CCONJ
afs-95617	242	10	requirements	requirement	NOUN
afs-95617	242	11	the	the	DET
afs-95617	242	12	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	242	13	program	program	NOUN
afs-95617	242	14	comes	come	VERB
afs-95617	242	15	free	free	ADJ
afs-95617	242	16	of	of	ADP
afs-95617	242	17	charge	charge	NOUN
afs-95617	242	18	for	for	ADP
afs-95617	242	19	the	the	DET
afs-95617	242	20	scientific	scientific	ADJ
afs-95617	242	21	community	community	NOUN
afs-95617	242	22	and	and	CCONJ
afs-95617	242	23	for	for	ADP
afs-95617	242	24	interbull	interbull	NOUN
afs-95617	242	25	member	member	NOUN
afs-95617	242	26	organizations	organization	NOUN
afs-95617	242	27	.	.	PUNCT
afs-95617	243	1	users	user	NOUN
afs-95617	243	2	are	be	AUX
afs-95617	243	3	required	require	VERB
afs-95617	243	4	to	to	PART
afs-95617	243	5	credit	credit	VERB
afs-95617	243	6	its	its	PRON
afs-95617	243	7	use	use	NOUN
afs-95617	243	8	in	in	ADP
afs-95617	243	9	any	any	DET
afs-95617	243	10	publication	publication	NOUN
afs-95617	243	11	.	.	PUNCT
afs-95617	244	1	commercial	commercial	ADJ
afs-95617	244	2	users	user	NOUN
afs-95617	244	3	must	must	AUX
afs-95617	244	4	contact	contact	VERB
afs-95617	244	5	the	the	DET
afs-95617	244	6	authors	author	NOUN
afs-95617	244	7	.	.	PUNCT
afs-95617	245	1	snp	snp	NOUN
afs-95617	245	2	_	_	NOUN
afs-95617	245	3	blup_rel	blup_rel	ADP
afs-95617	245	4	executable	executable	ADJ
afs-95617	245	5	is	be	AUX
afs-95617	245	6	available	available	ADJ
afs-95617	245	7	for	for	ADP
afs-95617	245	8	linux	linux	PROPN
afs-95617	245	9	upon	upon	SCONJ
afs-95617	245	10	request	request	NOUN
afs-95617	245	11	from	from	ADP
afs-95617	245	12	luke	luke	PROPN
afs-95617	245	13	(	(	PUNCT
afs-95617	245	14	contact	contact	NOUN
afs-95617	245	15	:	:	PUNCT
afs-95617	245	16	ismo.stranden@luke.fi	ismo.stranden@luke.fi	ADV
afs-95617	245	17	)	)	PUNCT
afs-95617	245	18	.	.	PUNCT
afs-95617	246	1	note	note	VERB
afs-95617	246	2	that	that	SCONJ
afs-95617	246	3	the	the	DET
afs-95617	246	4	snp_blup_rel	snp_blup_rel	ADJ
afs-95617	246	5	program	program	NOUN
afs-95617	246	6	is	be	AUX
afs-95617	246	7	under	under	ADP
afs-95617	246	8	ongoing	ongoing	ADJ
afs-95617	246	9	development	development	NOUN
afs-95617	246	10	,	,	PUNCT
afs-95617	246	11	and	and	CCONJ
afs-95617	246	12	due	due	ADP
afs-95617	246	13	to	to	ADP
afs-95617	246	14	the	the	DET
afs-95617	246	15	number	number	NOUN
afs-95617	246	16	of	of	ADP
afs-95617	246	17	features	feature	NOUN
afs-95617	246	18	,	,	PUNCT
afs-95617	246	19	some	some	DET
afs-95617	246	20	combinations	combination	NOUN
afs-95617	246	21	of	of	ADP
afs-95617	246	22	options	option	NOUN
afs-95617	246	23	may	may	AUX
afs-95617	246	24	not	not	PART
afs-95617	246	25	have	have	AUX
afs-95617	246	26	been	be	AUX
afs-95617	246	27	tested	test	VERB
afs-95617	246	28	thoroughly	thoroughly	ADV
afs-95617	246	29	.	.	PUNCT
afs-95617	247	1	thus	thus	ADV
afs-95617	247	2	,	,	PUNCT
afs-95617	247	3	users	user	NOUN
afs-95617	247	4	use	use	VERB
afs-95617	247	5	the	the	DET
afs-95617	247	6	program	program	NOUN
afs-95617	247	7	at	at	ADP
afs-95617	247	8	their	their	PRON
afs-95617	247	9	own	own	ADJ
afs-95617	247	10	risk	risk	NOUN
afs-95617	247	11	.	.	PUNCT
afs-95617	248	1	the	the	DET
afs-95617	248	2	simulated	simulate	VERB
afs-95617	248	3	data	datum	NOUN
afs-95617	248	4	that	that	PRON
afs-95617	248	5	support	support	VERB
afs-95617	248	6	the	the	DET
afs-95617	248	7	findings	finding	NOUN
afs-95617	248	8	of	of	ADP
afs-95617	248	9	this	this	DET
afs-95617	248	10	study	study	NOUN
afs-95617	248	11	are	be	AUX
afs-95617	248	12	available	available	ADJ
afs-95617	248	13	in	in	ADP
afs-95617	248	14	the	the	DET
afs-95617	248	15	supplementary	supplementary	ADJ
afs-95617	248	16	materials	material	NOUN
afs-95617	248	17	of	of	ADP
afs-95617	248	18	this	this	DET
afs-95617	248	19	article	article	NOUN
afs-95617	248	20	.	.	PUNCT
afs-95617	249	1	acknowledgements	acknowledgement	NOUN
afs-95617	249	2	viking	vike	VERB
afs-95617	249	3	genetics	genetic	NOUN
afs-95617	249	4	(	(	PUNCT
afs-95617	249	5	randers	rander	NOUN
afs-95617	249	6	,	,	PUNCT
afs-95617	249	7	denmark	denmark	NOUN
afs-95617	249	8	)	)	PUNCT
afs-95617	249	9	and	and	CCONJ
afs-95617	249	10	nordic	nordic	ADJ
afs-95617	249	11	cattle	cattle	NOUN
afs-95617	249	12	genetic	genetic	ADJ
afs-95617	249	13	evaluation	evaluation	NOUN
afs-95617	249	14	(	(	PUNCT
afs-95617	249	15	aarhus	aarhus	PROPN
afs-95617	249	16	,	,	PUNCT
afs-95617	249	17	denmark	denmark	NOUN
afs-95617	249	18	)	)	PUNCT
afs-95617	249	19	are	be	AUX
afs-95617	249	20	acknowledged	acknowledge	VERB
afs-95617	249	21	for	for	ADP
afs-95617	249	22	providing	provide	VERB
afs-95617	249	23	the	the	DET
afs-95617	249	24	finnish	finnish	ADJ
afs-95617	249	25	dairy	dairy	NOUN
afs-95617	249	26	cattle	cattle	NOUN
afs-95617	249	27	genotype	genotype	NOUN
afs-95617	249	28	data	datum	NOUN
afs-95617	249	29	.	.	PUNCT
afs-95617	250	1	references	reference	NOUN
afs-95617	250	2	anderson	anderson	PROPN
afs-95617	250	3	,	,	PUNCT
afs-95617	250	4	e.	e.	PROPN
afs-95617	250	5	,	,	PUNCT
afs-95617	250	6	bai	bai	PROPN
afs-95617	250	7	,	,	PUNCT
afs-95617	250	8	z.	z.	PROPN
afs-95617	250	9	,	,	PUNCT
afs-95617	250	10	bischof	bischof	NOUN
afs-95617	250	11	,	,	PUNCT
afs-95617	250	12	c.	c.	PROPN
afs-95617	250	13	,	,	PUNCT
afs-95617	250	14	blackford	blackford	PROPN
afs-95617	250	15	,	,	PUNCT
afs-95617	250	16	s.	s.	PROPN
afs-95617	250	17	,	,	PUNCT
afs-95617	250	18	demmel	demmel	PROPN
afs-95617	250	19	,	,	PUNCT
afs-95617	250	20	j.	j.	PROPN
afs-95617	250	21	,	,	PUNCT
afs-95617	250	22	dongarra	dongarra	PROPN
afs-95617	250	23	,	,	PUNCT
afs-95617	250	24	j.	j.	PROPN
afs-95617	250	25	,	,	PUNCT
afs-95617	250	26	du	du	PROPN
afs-95617	250	27	croz	croz	PROPN
afs-95617	250	28	,	,	PUNCT
afs-95617	250	29	j.	j.	PROPN
afs-95617	250	30	,	,	PUNCT
afs-95617	250	31	greenbaum	greenbaum	PROPN
afs-95617	250	32	,	,	PUNCT
afs-95617	250	33	a.	a.	PROPN
afs-95617	250	34	,	,	PUNCT
afs-95617	250	35	hammarling	hammarling	PROPN
afs-95617	250	36	,	,	PUNCT
afs-95617	250	37	s.	s.	PROPN
afs-95617	250	38	,	,	PUNCT
afs-95617	250	39	mckenny	mckenny	PROPN
afs-95617	250	40	,	,	PUNCT
afs-95617	250	41	a.	a.	PROPN
afs-95617	250	42	&	&	CCONJ
afs-95617	250	43	sorensen	sorensen	PROPN
afs-95617	250	44	,	,	PUNCT
afs-95617	250	45	d.	d.	PROPN
afs-95617	250	46	1999	1999	NUM
afs-95617	250	47	.	.	PUNCT
afs-95617	251	1	lapack	lapack	PROPN
afs-95617	251	2	users	user	NOUN
afs-95617	251	3	’	'	PUNCT
afs-95617	251	4	guide	guide	NOUN
afs-95617	251	5	,	,	PUNCT
afs-95617	251	6	3rd	3rd	ADJ
afs-95617	251	7	edn	edn	NOUN
afs-95617	251	8	.	.	PUNCT
afs-95617	252	1	philadelphia	philadelphia	PROPN
afs-95617	252	2	,	,	PUNCT
afs-95617	252	3	pa	pa	PROPN
afs-95617	252	4	,	,	PUNCT
afs-95617	252	5	usa	usa	PROPN
afs-95617	252	6	:	:	PUNCT
afs-95617	252	7	siam	siam	PROPN
afs-95617	252	8	.	.	PUNCT
afs-95617	253	1	https://doi.org/10.1137/1.9780898719604	https://doi.org/10.1137/1.9780898719604	PROPN
afs-95617	253	2	ben	ben	PROPN
afs-95617	253	3	zaabza	zaabza	PROPN
afs-95617	253	4	,	,	PUNCT
afs-95617	253	5	h.	h.	PROPN
afs-95617	253	6	,	,	PUNCT
afs-95617	253	7	mäntysaari	mäntysaari	PROPN
afs-95617	253	8	,	,	PUNCT
afs-95617	253	9	e.a	e.a	PROPN
afs-95617	253	10	.	.	PROPN
afs-95617	253	11	&	&	CCONJ
afs-95617	253	12	strandén	strandén	PROPN
afs-95617	253	13	,	,	PUNCT
afs-95617	253	14	i.	i.	PROPN
afs-95617	253	15	2020	2020	NUM
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afs-95617	255	6	:	:	PUNCT
afs-95617	255	7	51705182	51705182	NUM
afs-95617	255	8	.	.	PUNCT
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afs-95617	257	10	-	-	PUNCT
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afs-95617	257	20	.	.	PUNCT
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afs-95617	258	5	:	:	PUNCT
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afs-95617	258	7	.	.	PUNCT
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afs-95617	259	4	s.	s.	PROPN
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afs-95617	259	14	.	.	PUNCT
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afs-95617	260	7	-	-	PUNCT
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afs-95617	260	17	.	.	PUNCT
afs-95617	261	1	genetic	genetic	ADJ
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afs-95617	261	5	:	:	PUNCT
afs-95617	261	6	1–7	1–7	X
afs-95617	261	7	.	.	PUNCT
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afs-95617	262	4	.	.	PUNCT
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afs-95617	263	7	.	.	PUNCT
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afs-95617	264	5	.	.	PUNCT
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afs-95617	265	3	,	,	PUNCT
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afs-95617	265	7	,	,	PUNCT
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afs-95617	265	24	.	.	PUNCT
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afs-95617	267	6	:	:	PUNCT
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afs-95617	267	8	.	.	PUNCT
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afs-95617	268	3	,	,	PUNCT
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afs-95617	268	31	.	.	PUNCT
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afs-95617	269	8	.	.	PUNCT
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afs-95617	270	4	:	:	PUNCT
afs-95617	270	5	75–85	75–85	NUM
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afs-95617	271	11	.	.	PUNCT
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afs-95617	272	2	.	.	PUNCT
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afs-95617	273	2	:	:	PUNCT
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afs-95617	273	4	.	.	PUNCT
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afs-95617	275	2	.	.	PUNCT
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afs-95617	276	17	.	.	PUNCT
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afs-95617	278	6	:	:	PUNCT
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afs-95617	278	8	.	.	PUNCT
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afs-95617	279	3	,	,	PUNCT
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afs-95617	279	20	.	.	PUNCT
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afs-95617	281	8	:	:	PUNCT
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afs-95617	282	6	.	.	PUNCT
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afs-95617	283	7	.	.	PUNCT
afs-95617	284	1	journal	journal	NOUN
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afs-95617	284	8	.	.	PUNCT
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afs-95617	285	3	:	:	PUNCT
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afs-95617	285	9	-	-	PUNCT
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afs-95617	285	43	and	and	CCONJ
afs-95617	285	44	requirements	requirement	NOUN
afs-95617	285	45	acknowledgements	acknowledgement	NOUN
afs-95617	285	46	references	reference	NOUN