©Haramaya University, 2021 
ISSN 1993-8195 (Online), ISSN 1992-0407(Print) 

East African Journal of Sciences (2021)                                                Volume 15 (1) 1-16 

Licensed under a Creative Commons                            *Corresponding Author: wmanamno@gmail.com. 
Attribution-NonCommercial 4.0 International License.  

 

Genetic Variability and Correlation of Traits among Progenies of Potato Crosses in 
Ethiopia  

 

Manamno Workayehu 1*, Wassu Mohammed 2, and Tesfaye Abebe 3 

 
1Adet Agricultural Research Center, P.O. Box 8, Bahir Dar, Ethiopia 
2School of Plant Sciences, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia 
3Holetta Agriculture Research Center, Holetta, Ethiopia 
 

Abstract 
Background: Investigating the causes and magnitude of genetic variation in segregating potato 
population that derived from crossing is vital to know the genetic consequences of hybridization and 
improve potato varieties. However, very little effort has been carried in creating local population 
through crossing and genetic information on created potato population. 
Objective: The study was conducted to assess genetic variability and correlation among traits in 
locally created potato crosses population. 
Materials and Methods: A total of 81 genotypes were evaluated for 18 traits in a 9 x 9 simple lattice 
design. Data collection and analysis was done from sixteen plants or central rows. 
Results: The results revealed highly significant variations for all traits except proportion of medium 
tuber size and specific gravity of tubers indicating the existence of genetic variability among 
population. Marketable and total tuber yields variability of tested genotypes ranged from 2.51 to 55.62 
t ha -1 and 10.82 to 58.31 t ha -1, respectively. The phenotypic and genotypic coefficients of variation 
ranged between 4.67 to 92.88% and 3.25 to 73.5%, respectively. Heritability in broad sense and 
genetic advance as percent of mean also ranged from 28.81 to 91.64% and 4.65 to 90.33%, 
respectively with less influence of environmental fluctuations. Total tuber yield had positive and 
significant phenotypic and genotypic correlations with stem height, tuber yield per plant, tuber 
number per plant, average tuber weight and marketable tuber yield. This indicated that the traits are 
heritable with governing of additive gens for effective selection. 
Conclusion: The range and mean values of the variables obtained suggest the existence of sufficient 
variability among the tested and possibility of wide genetic base creation for improving potato 
population using locally created genotypes. Hence, promising genotypes with desirable traits could be 
recommended to produce new variety or use as parental lines for future breeding program. 
 
Keywords: Broad sense heritability; Correlations; Genetic advance; Genotypes; Tuber yield 

 

1. Introduction 

Potato (Solanum tuberosum L.) is a highly heterozygous 
tetraploid plant, originating in South America. It is a 
tuber bearing crop belonging to the family 
Solanaceous and has 48 chromosomes. Potato is the 
world’s third most important food crop in overall 
production after rice and wheat, and is a food security 
crop in Ethiopia (Devaux et al. 2014). It is mainly 
used as vegetable and available in the market 
throughout the year with reasonable price and has 
great importance in rural economy of the country as 
compared to other vegetables crops in Ethiopia.   
   In Ethiopia, potatoes are mostly cultivated in the 
central, north western, southern, and eastern parts of 
the country (Semagn Asredie et al., 2016). The crop 
has potential for improving the livelihoods of 
millions of smallholder farmers in the high lands area 
of the country. The potential for higher yield per unit 
area, early maturity, and excellent food value give the 
potato crop greater potential for improving food 
security, increasing household income, and reducing 
poverty than other crops (Semahagn Asredie et al., 

2015).  In 2018/19, the area under potato production 
of Maher season in the country was about 73,677.64 
hectares with an average tuber yield of 14.18 t ha-1 
(CSA, 2019). This is relatively low, especially when 
considering the favorable climate at higher elevations, 
soils, and irrigation potential in Ethiopia. The main 
production constraints are related to narrow genetic 
basis and susceptibility to diseases among varieties. 
Ethiopia’s tremendous variation in altitude, 
temperature, rain fall, soil type and ecological settings 
also give rise to the need for a wide range of varieties, 
which are not likely to be provided by existing 
breeding programs (Semahagn Asredie et al., 2015). 
So, continuously developing new cultivars through 
crossing is needed for a sustainable increase in potato 
variability and production under the present 
environmental change and high human population 
growth (Bradshaw, 2006). 
   Ethiopia has more than 36 potato varieties that are 
approved for cultivation to address the production 
problems in the country (MoA, 2016). These 
improved varieties were developed from introduced 
germplasms mainly from International Potato Center 

https://link.springer.com/article/10.1007/s12230-016-9543-3#CR7


Manamno et al.                  East African Journal of Sciences Volume 15 (1) 1-16 

 

2 

(CIP) either in the form of true potato seeds or 
clones and varieties imported to the country through 
technology shopping programs for adaptation trials 
and subsequent registration as a variety 
(Gebremedhin Woldegiorgis et al., 2013). 
   Creating genetic variability in tetraploid potato crop 
through hybridization in the country is limited due to 
too much dependence on CIP materials (Getachew 
Assefa et al., 2016). Because of this constraint most 
smallholder farmers are still growing old varieties that 
are low yielding and disease susceptible. Improving 
productivity of the crop through hybridization is 
necessary to develop varieties which are adaptable to 
a wide range of environments (Semahagn Asredie et 
al., 2015). Ethiopian local potato varieties are more 
heterozygous than the CIP genotypes that are 
cultivated in Ethiopia (Semahagn Asredie et al., 2016). 
Varieties developed from crossing of existing local 
varieties are more likely to be adapted to local 
growing conditions. Therefore, creating genetic 
diversity by conventional breeding using locally 
adapted genotypes (existing local land races and 
released varieties) in the country is required to reduce 
dependency on foreign materials and develop climate 
smart potato varieties which are widely adaptable and 
fulfill growers’ preferential traits. 
   Studying the causes and magnitude of variation 
from segregating population or genotypes derived 
from conventional crossing is vital in understanding 
the genetic consequences of hybridization to develop 
better potato varieties (Mehboob et al., 2016). 
Evaluating crossing products in different generations 
of selection can also help to estimate genetic 
parameters such as heritability to identify the best 
breeding strategy (Antonio et al., 2012). 
   Genetic variability in potato genotypes that were 
introduced from CIP has been studied and variability 
in segregation was reported by many researchers like 
Addisu Fekadu et al. (2013); Abraham Lamboro 
(2014); Getachew Assefa et al. (2016); Wassu 
Mohammed (2015) and Tesfaye Abebe et al. (2012). 
But not much effort has been made in a country to 
study the genetic variability and improve varieties by 
generating genotypes through crossing. Hence, the 
present investigation was conducted to evaluate the 
extent of variability, heritability, genetic advance, and 
correlation of traits in populations of cross Jalene x 

AterAbaba, Belete x Aterababa and Gera x Shenkola 
varieties for different yield and its related traits.  
 

2. Material and Methods 
2.1. Description of the Study Site 
The experiment was conducted at Adet Agricultural 
Research Station during the main growing season in 
2018. Adet Agricultural Research Center is located at 
the longitude ranging from 37° 28’ 38’’ to 37° 29’ 50’’ 
E and latitude ranging from 11° 16’ 19’’ to 11° 17’ 
28’’ N in northwestern highlands of Ethiopia with an 
average altitude of 2240 meters above sea level 
(Andualem Wolie et al., 2013). The mean annual total 
rainfall during the growing season was 1432 mm with 
the average minimum and maximum temperatures of 

10.81 and 25.55 ℃, respectively. 
 
2.2. Description of the Experimental Materials 
and Design 
The experimental materials comprised 81 genotypes. 
From this, seventy-five genotypes were offspring 
produced from biparental crossing of Ethiopian 
potato varieties by Adet Agricultural Research Center 
in 2015. In addition, five high yielding parent 
varieties, namely, Belete, Aterababa, Gera, Shenkola 
and Jalene and Dagim (the latest registered variety) 
was included as a standard check for comparison in 
this experiment (Table 2). 
   The experiment was laid out as a 9 x 9 simple lattice 
design. Each genotype was planted in a gross and net 

plot size of  1.5 m x 3m which contained two rows in 
plot and twenty plants per plot. Medium-sized and 
well sprouted potato tubers were planted at the 
spacing of 75 cm between rows and 30 cm between 
plants. The recommended dose of fertilizer was 
applied at a rate of 81/69 N/P

2
O

5
 per hectare. The 

whole phosphors fertilizer was applied during 
planting, but N source applied in split at planting, 2 

weeks after emergence and at flowering at equal  
1

3
 

rate. Earthing up was executed two times throughout 
the entire growing period, one at 30 days and another 
one at 60 days after planting. Fungicide chemical 
(Ridomil) was applied once when symptom occurred 
on experiment to control potato late blight disease. 

 

 

  



Manamno et al.                  Genetic Variability among Potato Progenies 

 

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Table 1. Description of parental varieties for different traits. 

S/N  Parent  Released  Characteristics  

1 Belete  
CIP-393371.58 
 

2009 Strong stems, high yield and dry matter, excellent stew quality, late 
blight tolerance, early bulking, early maturing and good for French fries, 
large tuber, white flower, and tuber skin color, very susceptible for 
bacterial wilt, hollow heart, sometimes its shape become  amorphous, 
bitter taste than others 

2 Jalene 
CIP-37792.5 

2002 Good dry matter and boiling quality, early maturing, early flowering, 
white tuber skin and flower color, late blight susceptible shallow eye 
depth, good taste 

3 Gera 
KP-90134.2 

2003 Long storage life, strong stems, high yield, late blight tolerant and well 
adapted to dry areas, very high deep tuber eye, white flower and tuber 
skin, round tuber shape 

4 Shenkola 
KP-90134.5 

2005 Good taste and boiling quality, white flower and tuber skin color, good 
yield, oval tuber shape, shallow eye depth, good taste, has tall stem 

5 Aterababa Local  Good canopy cover, stew quality, taste, early maturing, round shape, 
high dry matter, good market demand and storage quality, late blight 
susceptible, bacterial wilt resistant than others, pink tuber skin and 
flower color, round tuber shape 

Note: Descriptions are organized from Tesfaye Abebe et al. (2013) and Semahagn Asredie et al. (2015). 

 

Table 2. List of potato offspring and parents with standard check variety used in the experiment.  

Trt Genotype  Trt Genotype   Trt  Genotype  Trt   Genotype   

1 J x A.277 22 J x A.42 43 J x A.27 64 B x A.248 
2 B x A.153 23 B x A.15 44 Ge xSh.186 65 J x A.18 
3 J xA.296 24 J x A.49 45 J x A.130 66 J x A.123 
4 B x A.174 25 B x A.60 46 B x A.163 67 B x A.207 
5 J x A.94 26 J x A.77 47 J x A.67 68 J x A.186 
6 B x A.225 27 Gera 48 Shenkola 69 B x A.129 
7 Ge x Sh.65 28 J x A.31 49 Ge x Sh.206 70 J x A.122 
8 Belete  29 Ge x Sh.101 50 J x A.146 71 J x A.243 
9 J x A.140 30 J x A.333 51 B x A.8 72 Ge x Sh.90 
10 B x A.74 31 B x A.228 52 J x A.102 73 Ge x Sh.317 
11 J x A.170 32 J xA.266 53 B x A.213 74 J x A.196 
12 B x A.112 33 J x A.143 54 J x A.245 75 J x A.250 
13 J x A.21 34 J x A.326 55 J x A.345 76 J x A.119 
14 B x A.184 35 Dagim 56 B x A.201 77 J x A.246 
15 B x A.164 36 J x A.188 57 Ater ababa 78 J x A.165 
16 J x A.120 37 J xA.60 58 J x A.135 79 Jalene 
17 J x A.187 38 B x J.16 59 B x A.603 80 B x A.97 
18 B x A.44 39 J x A.34 60 J x A.201 81 Ge x Sh.96 
19 J x A.39 40 Ge x Sh.319 61 B x A.55   
20 B x A.198 41 B x A.140 62 J x A.9   
21 Ge x Sh.29 42 J x A.23 63 Ge x Sh.100   

Note: Trt = Treatment, J x A = Jalene cross Ater abab, B x A = Belete cross Ater ababa, Ge x Sh = Gera cross Shenkola, Dagim 
= Standard check variety and numbers followed crosses indicated the code of genotype (experimental material). 

 

2.3. Data Collection and Analysis 

2.3.1. Data collection 

Observations were recorded on different traits such 
as days to emergency (DE), days to flowering (DF), 
days to maturity (DMA), main stem number (SN), 
plant height (PH), tuber number per plant (TNP), 
tuber yield per plant (TYP), very small tuber numbers 
(VSN), medium sized tubers (MDN), large sized 
tubers (LTN), tuber dry matter content (DM), tuber 
starch content (SC), tuber specific gravity, average 

tuber weight (AW), marketable tuber number (MTN), 
marketable yield (MY), unmarketable tuber yield 
(UNMY) and total tuber yield (TY). Some of 
morphological qualitative traits like, flower color, 
plant growth habit type, predominant tuber skin color 
and flesh color, tuber skin type, eye depth and 
number per tuber were recorded in all the entries as 
per the standards and codes specified in potato 
descriptors of AICRP on potato, Huaman et al. 
(1977) during the peak of crop growth.   

  



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4 

2.3.2. Data Analysis 
The quantitative data were subjected to analysis of 
variance (ANOVA), but descriptive statistics was 
used to describe qualitative data by taking samples 
from five plants for each trait. Means for significant 
treatments were compared using Fisher ‘s protected 
least significant differences (LSD) at 5% (P<0.05) 
level of significance. The traits that exhibited 
significant mean squares in ANOVA were further 
subjected to genetic analyses. The phenotypic (σ2p), 
genotypic (σ2g) variances, environmental variance (σ2e) 
and the corresponding phenotypic (PCV) and 
genotypic (GCV) coefficients of variation for each 
trait were estimated following the method described 
by Burton and Devane (1953). Genotypic variance 

(σ2g) = 
𝐺𝑀𝑆−𝑀𝑆𝐸

𝑟
 , Phenotypic variance (σ2p) = σ2g + 

σ2e. where, MSE =Mean square of error and 
GMS=genotypic mean square. Broad sense 
heritability estimates and genetic advance were also 
calculated using the formula of Burton (1952) and 
Johnson et al. (1955), respectively: h2b (Broad sense 

heritability) (%) =
σ²g

σ²p
x100, where σ2g= genotypic 

variance and σ2p=Phenotypic variance. Genetic 
advance (GA) for each trait was computed using the 
formula adopted by Johnson et al. (1955) as: GA= 
GA=k.σp.h2b.Where, k= selection differential (k=2.06 
at 5% selection intensity), σp= Phenotypic standard 
deviation of the trait, h2b= broad sense heritability of 
the character.  
 

3. Results and Discussion 
3.1. Analysis of Variance and Mean Performance 
of Genotypes 
Results of the analysis of variance (ANOVA) of 18 
quantitative traits for the 81 genotypes showed 
significant (P ≤ 0.01) differences among the tested 
potato populations for all traits except proportion of 
medium tuber size (%) and specific gravity (g/cm 3) 
of tubers (Table 3). The presence of significant 
differences among the genotypes obtained from three 
biparental crosses and their parents suggested the 
chance of obtaining better performing 
offsprings/genotypes than their parents for the 
different important yield and its related traits. The 
genotypes are expected to be highly heterozygous in 
which additive and non-additive gene actions and in 
most case, both operate (Ross, 1986), (Arndt and 
Peloquin, 1990). Therefore, the observed variations 
among the potato genotypes could be exploited 
through vegetative propagation. 
   The present findings agree with findings of Hajam 
et al. (2018) who reported significant variations 
among 38 genotypes for days to flowering, plant 
height, tuber number per plant, tuber yield per plant 
and average tuber weight. Hirut Betaw et al. (2017) 

reported highly significant differences among 60 
progenies of 32 families, 12 twelve parents and check 
varieties for growth, physiological and tuber yield 
related traits. Melito et al. (2017) also reported highly 
significant difference for total tuber yield from 
genotypes obtained biparental crosses. Zakerhamid 
(2014) showed significant differences among 166 
hybrids and two parents for plant height, main stem 
number per plant, tuber weight per plant, average 
tuber weight and tuber yield. Nickmanesh and 
Hassanpanah (2014) evaluated 127 hybrids with their 
two parents and reported significant differences for 
days to flowering, plant height, tuber weight per 
plant, and total tuber yield. 
   The genotypes/offsprings, parents and the check 
variety observed 16 to 24, 42 to 60 and 88 to 102 
days of 50% emergence, 50% flowering and 90% 
maturity, respectively (Table 4). The 41 potato 
offsprings of Jalene x Ater Ababa had lowest mean 
days to 50% emergency. The 24 potato progenies of 
Belete x Ater Ababa also showed lowest mean days to 
50% flowering. While the 10 potato offsprings of 
Gera x Shenkola manifested lowest mean days to 
maturity. However, the individual genotypes, J x 
A.277, J x A.296, J x A.187, J x A.135, J x A.201, J x 
A.122, J x A.196, J x A.246 and J x A.165 showed 
early emergency of plants than their parents, standard 
check variety and other genotypes. Similarly, J x A.23 
and J xA.130 genotypes observed early maturity (88 
days) than other progenies, parents, and check 
variety. A total of nine potato progenies showed early 
maturity than the standard check variety in this study. 
   The main stem number and stem height ranged 
between 2 and 9; and 32.27 and 73.33 cm, 
respectively (Table 4). Potato offspring of Jalene and 
Ater Ababa exhibited the highest mean of main stem 
numbers whereas the maximum mean stem height 
recorded for progenies of Gera and Shenkola. 
Genotype B x A.164 showed maximum stem height 
(73.33 cm) followed by Ge x Sh.319 (71.64 cm) but 
more stem numbers recorded for genotype J x A.9. 
These genotypes which had more main stems and tall 
stem height can produce high tuber yield.  
   Other authors also found the performance of 
crosses and parental varieties for phenological and 
growth traits. Hajianfar et al. (2017) recorded main 
stem numbers ranging between 3.33 and 4.29 and 
stem height ranging between 52.33 and 64.77cm for 
potato hybrids. Parmar et al. (2015) found plant 
height ranging from 37.16 to 54.80 cm with a mean 
of 42.29 cm and main stem number per hill ranging 
from 1.93 to 3.93 with a mean 2.91 in potato 
genotype. Biswas (2010) showed the range of plant 
height from 15.0 to 57.0 cm with a mean 37.9 cm for 
and 1 to 6 with a mean 2.1 for main stem numbers 
for potato progenies. 

 

 



Manamno et al.                                                                           Genetic Variability among Potato Progenies 

 

5 

Table 3. Mean squares from the simple lattice ANOVA for traits of 81 potato genotypes.  

Trait Rep 
df =1 

Blocks (adj.)  
df =16 

Genotype (unadj.) 
df = 80 

Genotype (adj.) 
df = 80 

Error (RCBD) 
df = 80 

Intra block (Error)  
df = 64 

RE of SL 
Over RCBD 

CV (%) 

DE 32 3.49 8.14** 7.74** 2.5 2.25 103.61 8.36 

DF 9.88 4.2 77.32** 73.56** 3.54 3.37 100.92 3.97 

DMA 52.25 6.50 28.89** 28.76** 9.36 10.07 92.91 3.24 

SN 2.47 0.82 3.12** 2.96** 0.93 0.96 96.99 25.78 
SH  99.25 37.69 168.85** 150.79** 25.51 22.47 105.06 10.03 
TNP 0.5 3.74 30.17** 25.12** 4.58 4.78 95.65 16.3 

TYP  0.0005 0.007 0.09** 0.08** 0.008 0.008 96.79 14.21 

AW  30.33 53.52 587.04** 565.85** 61.58 63.59 96.83 16.7 

MTN 54267 1562.95 3916.31** 3360.49** 1185.46 1091.09 102.46 25.04 

MY  210.12 12.72 200.13** 192.04** 16.4 17.33 94.68 16.55 

UNMY  286.56 3.75 20.86** 18.77** 3.83 3.86 99.42 31.3 

TY  5.89 10.92 189.95** 177.46** 14.97 15.99 93.66 16.69 

VSN  17515 139.8 275.23** 265.25* 142.08 142.66 99.6 32.63 

MDN  19781 190.98 210.36ns 191.5ns 155.2 146.26 101.37 24.43 

LTN  50.72 48.9 335.45** 327.70** 52.12 52.92 98.48 31.36 

DM  37.07 3.88 20.70** 19.61** 5.4 5.78 93.43 11.05 

SG 0.14 0.0009 0.001ns 0.001ns 0.002 0.002 89.13 3.53 

SC 34.86 3.25 16.43** 15.52** 4.68 5.04 92.89 14.48 

Note: *and **Significant at P< 0.05 and P<0.01 probability levels, respectively. DE = days to emergency, DF = days to 50% flowering, df=degree of freedom, DMA = days to 90% maturity, SN = main 
stem number, SH (cm) = stem height, TNP = tuber number per plant, TYP (g) = tuber yield per plant, AW (g) = average tuber weight, MTN = marke table tuber number, MY = marketable yield t ha-1, 
UNMY = unmarketable yield t ha-1, TY = total yield t ha-1,VSN = very small tuber size in percentage, MDN = medium tuber size percentage, LTN = large size tuber percentage, DM = tuber dry matter 
content(%), SG = specific gravity of  tuber, SC = tuber starch content (%), CV (%) = coefficient of variation. 



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Tested genotypes showed 6 to 25 tuber number per 
plant, 0.23 to 1.025kg tuber yield per plant,16.61 to 
106.83g average tuber weight, 11 to 310 marketable 
tuber number per net plot, 2.51 to 55.62 marketable 
tuber yield, 0.33 to 24.9 unmarketable and 10.82 to 
58.31ha-1 total tuber yield (Table 4). The result of 
range and mean of marketable and total tuber yield 
were greater than the findings reported by Getachew 
Assefa et al. (2016), Wassu Mohammed (2014), Wassu 
Mohammed and Simret Burga (2015), Addisu Fekadu 
et al. (2013) and Tesfaye Abebe et al. (2012) from 
tested Ethiopian cultivated varieties and non-
registered CIP genotypes.  The greater number of 
tubers per plant and marketable tuber number per 
plot were 25 and 246.5 for genotypes J x A.170 and J 
x A.18. On the other hand, the highest and 
significantly different tuber yield per plant, 
marketable tuber yield and total tuber yield noted 
from genotype B x A.164, followed by J x A.119. In 
contrast, the highest significant unmarketable tuber 
yield 24.9 t ha-1 was recorded for genotype Ge x 
Sh.29, followed by Ge x Sh.206 13.59 t ha-1 due to 
very deep eye depth and cracking of tubers. This may 
show dominance of maternal inheritance traits which 
Gera variety (female parent) imparts very deep eye on 
tubers.  
   Generally, in the current study, about 40% potato 
offspring exhibited significantly higher total tuber 
yields than the standard check Ethiopian variety. 
Single genotype B x A.164 and J x A.119 showed 
total tuber yield advantage of 209.17% and 133.96%, 
respectively, over the standard check and about 
36.7% and 3.5% yield advantage over Belete (high 
yielding registered variety) so far in Ethiopia. In a 
similar kind of study, Melito et al. (2017) found that 
48% of the genotypes from a total of 27 populations 
which produced from seven biparental 
crosses/families that showed higher total tuber yield 
compared to the standard check. 
  The highest mean tuber number per plant and 
marketable tuber number recorded from biparental 
crosses of Jalene and Ater ababa whereas the 
maximum mean of tuber yield per plant, average 
tuber weight and unmarketable tuber yield found in 
crosses of Gera x Shenkola variety (Table 4). In 
addition, potato genotypes (offsprings) produced 
from Belete cross with Ater Ababa manifested 
highest mean for marketable tuber yield and total 
tuber yield. This may be due to over dominance of 
maternal effect which Belete (female parent) is high 
yielder variety in the country. 
   Tuber size distribution such as proportion of small 
tubers, medium tubers and large tubers ranged from 
5.86 to 59.07; 26.8 to 81.08; and 0.6 to 55.67%, 
respectively (Table 4). The maximum mean 
percentage of small tubers and large tubers were 
noted from progenies of Jalene and Ater Ababa (41) 
and Gera and Shenkola accordingly. The maximum 
proportion of small tubers (59.07%) showed by 
genotype J x A.333 whereas, genotype Ge x Sh.206 
and parental varieties such as shenkola and belete 

variety exhibited significantly highest percentages of 
large tubers. 
   Proportion of quality traits (tuber dry matter and 
starch content) ranged from 13.78 to 29 and 8.28-
21.84% (Table 4). These results agree with the 
findings of Garnica et al. (2012) who reported tuber 
dry matter and starch content (%) that ranged from 
22.1 to 28.06 and 15.86 to 21.51%, respectively. But 
higher than explained by Tesfaye Abebe et al. (2012) 
who evaluated 25 released potato varieties and the 
varieties overall values ranged from 17.65 to 26.70% 
dry matter content and 9.75 to 17.82% for total 
starch content under Adet environment. Potato 
offsprings of Belete and Ater Ababa produced higher 
mean tuber dry matter yield and tuber starch content 
(%) than other biparental crosses. Significantly lower 
tuber dry matter and starch content (%) were 
recorded from crosses of Gera and Shenkola variety 
by genotype Ge x Sh.186. Individual genotypes B x 
A.97 and J x A.266 showed higher tuber dry matter 
yield and starch content than all other clones. The 
results may be due to positive correlation of dry 
matter content with total starch content (r=1**) as 
observed in this study and suggests that continuous 
evaluation of these crosses may result in a higher 
chance of obtaining genotypes with high tuber quality 
traits. A total of forty (40) potato offsprings and four 
parental varieties produced the maximum percentages 
of tuber dry matter yield and starch content than the 
standard check variety. 
   The present findings are also supported by results 
of previous workers. Addisu Fekadu et al. (2013) 
reported availability in tuber size distribution that 
ranged from 4.6 to 56.67% for small sized tubers, 
27.80 to 49.00% for medium sized tubers and 0.5 to 
65.7% for large sized tubers. Melito et al. (2017) also 
reported the possibility of obtaining many genotypes 
with better tuber yield from bi-parental crosses. 
Similarly, Hajianfar et al. (2017) reported as high as 
11.96, 41.22 and 37.19 t ha-1 tuber number per plant, 
total tuber yield, and marketable yield, respectively, 
and tuber dry matter up to 26.7% in hybrids of 
potato genotypes. In addition, Luthra et al. (2017) 
observed the range from 6.23 to 10.34 for tuber 
number per plant, 20.2 to 36.6 for marketable yield, 
23.7 to 38.8 for total yield t ha-1 and 13.9 to 18.5% 
for dry matter from potato progenies. Additionally, 
Parmar et a l. (2015) showed tuber yield per plant 
249.15 to 511.07gm and average tuber weight 48.53 
to 98.2gm among 32 potato progenies. Furthermore, 
Nizamuddin et al. (2010); Zakerhamidi (2014) and 
Nickmanesh and Hassanpanah (2014) reported a 
wide range of tuber yield in progenies of two varietal 
crosses. Feltran et al. (2004) reported high dry matter 
and starch content ranged from 15.7 to 22.4% and 
56.7 to 71.4%, respectively, in 18 potato cultivars. 
   In family base, the maximum proportion in 41 
potato offspring obtained from crossing Jalene with  
AterAbaba showed semi-erect growth habit (39.02%), 
light pink flower color (80.49%), brown tuber skin 
color (29.27%), yellow tuber flesh color (44.34%), 
medium tuber eye depth (39.02%), smooth skin type 



Manamno et al.                  Genetic Variability among Potato Progenies 

 

7 

(58.54%), oval tuber shape (39.02%) and intermediate 
(5<20) eye numbers(39%). On other hand, most 
proportion of potato offsprings/genotypes derived 
from Belete and Ater Ababa contained decumbent 
growth habit (45.83%), light pink flower (58.33%), 
brown tuber skin color (37.5%), yellow tuber flesh 
color (41.67%, medium tuber eye depth (54.16%), 
smooth tuber skin type (70.8%), round and long 
tuber shape (60%) and inter mediate tuber eye 
number (91.67%). However, the proportion of the 
genotypes generated from Gera cross Shenkola 
observed decumbent (45.83%) growth habit, light, 
and intense purple flower color (100%), light brown 
(30%) and white tuber skin color (50%), light yellow 
tuber flesh color (40%), light yellow tuber flesh color 
(40%) for each) and oval tuber shape (70%) in this 
study. 
   According to Kumar et al. (2018) white-flesh-
colored potatoes are low in carotenoids 
(<100μg/100 g fresh weight) whereas the carotenoids 
content of yellow-fleshed varieties is higher (about 
560μg/100 g FW). Intense yellow to near orange 
flesh color is associated with carotenoid 
concentrations >2000μg/100g. Based on this 
information, about 33 from a total of 75 potato 
progenies showed white and cream flesh color which 
is low in carotenoids, while other genotypes 
contained yellow and different flesh color which had 
high carotenoid content. Cultivars which possess 
either shallow or medium eye depths are perfect to 
reduce losses during peeling and trimming. 
Therefore, the results of crossing Belete and Ater 
Ababa produced large proportion of skin type highly 
desired for any French frying or processing industries 
and as such considering these parental materials 
seems essential to producing clonal population 
targeting processing industries. Hence, genotypes in 
this study showed difference by morphological 
qualitative traits not only among all families but also 
with in biparental crosses. 
 
3.2. Genetic Variability Components 
3.2.1. Phenotypic and genotypic coefficients of 
variations 
The variability components (phenotypic and 
genotypic variances and coefficient of variations, 
heritability in broad sense and genetic advances as 
percent of mean) were estimated for agro 
morphological traits (Table 5). The estimates of 
genotypic and phenotypic coefficient of variations 
were computed in the range between 3.25 to 51.41 
and 4.67 to 60.28%, respectively. The lowest and the 
highest values were computed for days to maturity 
and number of large tubers, respectively. According 
to Siva Subramanian and Menon (1973), PCV and 
GCV values roughly more than 20% are high, 
whereas values less than 10% are low and values 
between 10 and 20% to be medium. 
Correspondingly, days to flowering, plant stem 
height, average tuber weight, marketable tuber 
number, marketable tuber yield and total tuber yield 
exhibited high phenotype and genotypic variance 

indicating greater scope of selection for the 
improvement of these characters. Similarly, Haydar 
(2009) reported the maximum genotypic and 
phenotypic variance for plant height. Hajam et al. 
(2018) also observed highest GV and PV for average 
tuber weight, tuber yield per plant and total tuber 
yield, and in addition, Benavente and Pinto (2012) 
found high genotypic variance for total tuber yield 
from among families and within families in 30 potato 
genotypes which produced by biparental crossing. 
   Maximum phenotypic coefficients of variation 
(PCV) was computed for main stem number, tuber 
number per plant, average tuber weight, tuber yield 
per plant, marketable tuber number, marketable yield, 
total tuber yield, tuber starch content and percentages 
of small tubers and large tubers whereas highest 
genotypic coefficients of variation (GCV) had 
observed for traits such as main stem number, tuber 
number per plant, average tuber weight, tuber yield 
per plant, marketable tuber number, marketable yield, 
total tuber yield, percentages of small tubers and large 
tubers. In line with this study, Ozturk and Yildirim 
(2014) reported high genetic coefficient of variation 
(GCV) for total yield (26.2 %), plant height (21.2 %) 
and average tuber weight (20.4 %) for genotypes. The 
characters having high GCV indicate high potential 
for effective selection (Burton, 1957). Characters with 
high genetic variability and genetic advance are also 
important for selecting the desirable parents (Biswas 
et al., 2005).  
   High estimates of phenotypic (PCV) and genotypic 
coefficients of variation (GCV) were observed for 
main stem number, tuber number per plant, average 
tuber weight, tuber yield per plant, marketable tuber 
number, marketable tuber yield, total tuber yield, 
small tuber, and large tuber percentage. The result 
was agreed with authors such as Hajam et al. (2018), 
noted highest GCV and PCV for traits number of 
main stems, total tuber yield and tuber yield per plant. 
The traits which exhibited high estimates of 
genotypic and phenotypic coefficient of variations 
had high probability of improvement through 
selection to develop new variety (Singh, 1990). 
Moderately high phenotypic (PCV) and genotypic 
coefficients of variation (GCV) were computed for 
plant stem height, days to 50% flowering and tuber 
dry matter. Moderate phenotypic coefficients of 
variation (PCV) were also noted for days to 50% 
emergency. Abraham Lamboro (2014) reported 
moderately high PCV and GCV for plant stem 
height, percentage of small tubers and days to 
emergence. Low estimates of PCV and GCV were 
obtained for days to maturity. This agrees with 
Kameshwari (2015) who reported the lowest GCV 
and PCV for days to maturity. The lowest GCV and 
PCV suggested that selection for the desired 
character based on phenotypic expression of 
genotypes might not be effective in attaining the 
desired genotypes due to the highest masking of 
factors to express these traits. Singh (1990) also 
reported low GCV and PCV values for dry matter 
content.  



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8 

 

Table 4. Average family mean values (range) of evaluated genotypes for quantitative traits. 

Family No. of clone Range DF MA SN SH TNP TYP ATW MTN MY UNM TY VSN LTN DM SC 

J x A  41 Min 44 88 3 33.1 7 0.23 16.61 66 6.58 0.33 10.8 6.25 0.6 14.13 8.59 
  Max 53 101 9 66 25 0.97 71.38 247 43.8 8.19 44.1 59.1 40.29 27.68 20.67 
  Mean 48 95 5 49.2 14 0.59 42.27 144 23.3 3.7 27.0 30 18.14 21.18 14.88 
B x A  24 Min 42 88 2 32.3 6 0.27 26.45 75 8.73 1.05 11.7 5.86 3.2 15.63 9.93 
  Max 55 102 6 73.3 23 1.03 78.1 226 55.6 7.65 58.3 42.5 49.78 29.00 21.84 
  Mean 46 95 4 46.6 12 0.62 53.55 130 26.9 3.4 30.3 23.3 27.23 21.73 15.36 
Ge x Sh  10 Min 46 90 3 41.3 8 0.3 35.11 13.5 2.51 0.58 16.8 13.2 12.6 13.78 8.28 
  Max 60 99 7 71.6 17 1.03 103.3 193 33.9 24.9 45.7 52.2 55.47 25.48 18.7 
  Mean 50 94 5 53.9 12 0.63 56.49 118 21.7 7.51 29.2 27.2 27.61 21.57 15.22 
Jalene 1 Mean 54 93 4 50.2 15 0.6 40.96 135 23.0 4.41 27.4 36.3 17.81 18.15 12.18 
Aterababa 1 Mean 45 91 4 48.1 13 0.49 39.32 108 17.1 5.34 22.4 34.9 13.19 22.18 15.76 
Belete 1 Mean 48 99 2 52.9 8 0.88 106.8 111 41.0 1.66 42.6 13.2 55.67 24.3 17.66 
Gera  1 Mean 52 99 2 65.8 13 0.89 72.87 157 37.1 2.23 39.3 14.3 41.31 20.98 14.69 
Shenkola 1 Mean 55 101 2 66.6 10 0.82 82.11 127 36.0 1.6 37.6 16.9 55.59 23.75 17.17 
Dagim 1 Mean 48 92 2 57.4 10 0.43 48.94 105 16.4 2.47 18.9 20.4 31.86 21.3 14.99 
  G.mean 48 95 4 49.3 13 0.6 48.74 135 24.5 3.9 28.0 27.0 23.0 21.47 15.14 

Note: J x A  = Jalene cross with Ater ababa, B x A = Belete cross with Ater ababa, Ge x Sh= Gera cross with Shenkola, Dagim = standard check variety, Min=minimum, Max = maximum, 
G.mean=Grand mean, DE = days to emergency, DF = days to 50% flowering, DMA = days to 90% maturity, SN = main stem number, SH (cm) = stem height, TNP = tuber number per plant, TYP (g) 
= tuber yield per plant, AW (g) = average tuber weight, MTN = marketable tuber number, MY = marketable yield(t ha -1), UNMY = unmarketable yield (t ha-1), TY = total yield(t ha-1),VSN = very 
small tuber size percentage, MDN = medium tuber size percentage, LTN = large size tuber percentage, DM=tuber dry matter content (%), SG = specific gravity of  tuber, and SC = tuber starch content (%). 



Manamno et al.            Genetic Variability among Potato Progenies 

 

9 

On this study, the PCV values were slightly higher 
than their corresponding GCV values for all the 
characters considered which reflect a little influence 
of environment on the expression of characters. This 
agrees with Getachew Assefa et al. (2016) and Biswas 
(2005) reported high phenotypic variances than 
genotypic variances for growth and yield traits in 
genotypes.  
 
3.2.2. Heritability and genetic advance 
Estimate of heritability in broad sense ranged from 
28.81 to 91.64% for percentages of small sized tubers 
and days to flowering, respectively (Table 5). As 
suggested by Pramoda (2002), h2b estimates is 
categorized as low < 40%, medium 40-59%, 
moderately high (60-79) and very high (>80%). Based 
on this category, very high heritability estimate was 
noted for days to flowering (91.64%), tuber yield per 
plant (80%) and average tuber weight (80.45%) 
indicating the selection of genotypes for such 
characters could be easy and may lead to the 
improvement of the mean values in selected 
genotypes for those traits. Presence of high 
heritability indicated that these traits are less 
influenced by environmental fluctuations and 
governed by the additive gene effects that are 
substantially contributing towards the expression of 
traits. Similarly, Ozturk and Yildirim (2014) reported 
the highest board sense heritability’s for average tuber 
weight, Moussa (2013) noted high estimates of 
heritability for tuber yield per plant from 17 potato 
genotypes comprising seven parents and their ten 
crosses, and Haydar (2009) also reported high 
heritability for tuber yield per plant and tuber 
numbers per plant respectively from seven potato 
parent and hybrids. 
   High heritability coupled with high genetic 
advances was computed for average tuber weight 
indicating the influence of additive gene effect on the 
trait. Hence, these traits can be improved through 
simple selection. Effectiveness of selection is 
considered more reliable when heritability is coupled 
with genetic advance. The result was in close 

agreement with the findings of Moussa (2013) and 
Biswas (2005) who reported that high heritability 
value along with high genetic advance for average 
tuber weight in potato hybrids.  
   Moderately high heritability was also ranged 
between 72.75 and 77.86% for stem height, tuber 
number per plant, marketable tuber yield, total tuber 
yield and proportions of large sized tubers while 
medium heritability showed for days to emergency, 
days to maturity, marketable tuber number, tuber dry 
matter and tuber starch content percentage. In line 
with this study, Mishra et al. (2017) obtained 
moderately high heritability for marketable yield 
(77.1%), total tuber yield (76.8%) and tuber dry 
matter from hybrids. Low heritability value noted for 
small tuber size (28.81%). This indicates that 
selection may be considerably difficult or virtually 
impractical due to the masking effect of the 
environment. High heritability accompanied with low 
genetic advances was recorded for tuber yield per 
plant. This suggested that the character was 
influenced due to favorable influence of environment 
or predominant effects of non-additive gene rather 
than genotypes. Panse (1957) reported that low 
heritability accompanied with genetic advance is due 
to non-additive gene effects for the particular trait. As 
stated, Panes and Sukhatme (1964), high heritability 
values associated with equally high genetic advance is 
chiefly due to dominance and epistasis. 
   The genetic advance as percent mean was 
categorized as low (<10%), moderate, (10-20%) and 
high (>20%) by Johnson et al. (1955). Based on these 
categories, the highest genetic advance for tested 
genotypes expressed as percentage of the mean 
(GAM) showed for all traits ranging from 25.08 to 
90.33% except for days to emergency, days to 
maturity, percentages of tuber dry matter and tuber 
starch content (Table 5). Traits which showed high 
values of genetic advance might be due to additive 
gene action. Similarly, Kameshwari (2015) reported 
high genetic advance in percentage of mean for 
average tuber weight and tuber yield per plant. 



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10 

Table 5. Variability components for 16 traits of evaluated 81 genotypes and parental varieties. 

Trait  Range  Mean  σ2g σ2p GCV (%) PCV (%) Hb (%) GA (5%) GAM (5%) 

Days to emergence 16-24 18.12 2.95 5.20 9.47 12.58 56.65 2.66 14.68 

Days to flowering 42-60 61.00 36.97 40.35 12.72 13.28 91.64 11.99 25.08 

Days to maturity 88-102 94.51 9.41 19.48 3.25 4.67 48.3 4.39 4.65 

Stem height(cm) 32.27-73.33 49.34 73.19 95.66 17.34 19.82 76.51 15.42 31.24 

Main stem number 2.0-9.0 3.80 1.08 2.04 27.23 37.43 52.9 1.56 40.79 

Tuber number/plant 6.0-25.0 12.93 12.69 17.48 27.55 32.33 72.63 6.26 48.37 

Average tuber weight(g) 16.61-106.83 48.74 261.72 325.32 33.20 37.01 80.45 29.89 61.33 

Tuber yield /plant(kg) 0.23-1.03 0.60 0.04 0.05 32.63 35.79 80.00 0.37 61.26 

Marketable tuber number 11-310 134.5 1412.61 2503.7 27.94 37.19 56.42 58.16 43.23 

Marketable yield t ha-1 2.51-55.62 24.46 87.61 112.52 38.26 43.36 77.86 17.01 69.55 

Total yield t ha-1 10.82-58.31 28.32 81.94 108.01 31.97 36.7 75.87 16.24 57.36 

Tuber dry matter  13.78-29 21.47 6.23 14.47 11.62 17.72 43.02 3.37 15.7 

Tuber Starch content  8.28-21.84 15.14 4.94 11.49 14.69 22.39 43.04 3.01 19.85 

Small tuber  5.86-59.07 26.89 61.36 212.99 29.13 54.27 28.81 8.66 32.2 

Large tuber    0.6-55.67                   49.99 141.26 194.18 51.41 60.28 72.75 20.88 90.33 

Note: σ2g = genotypic variance, σ2p = phenotypic variance, PCV (%) = phenotypic coefficient of variation (%) = genotypic coefficient of variation, Hb (%) = heritability in broad sense, GA = genetic advance, 
and GAM = genetic advance as percent of mean. 

 



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3.2.3. Phenotypic and genotypic correlations 
The estimates of genotypic and phenotypic 
correlation coefficients between total tuber yield and 
all possible pairs of yield components are presented 
in Table 6. Phenotypic and genotypic association of 
days to emergency with days to flowering was 
positive. This indicates that selection for this trait 
may lead to early mature genotypes. Days to 
emergency was negatively correlated with main stem 
number, tuber number per plant and marketable 
tuber number at phenotypic and genotypic levels but, 
positively correlated with proportion of large tuber 
size at both levels. Plant stem height positively 
correlated with tuber yield per plant, tuber number 
plant, average tuber weight, marketable tuber 
number, marketable tuber yield, total tuber yield, 
tuber dry matter, tuber starch content and proportion 
of large tuber sized tubers at both correlations level 
but, it correlated negatively with proportion of small 
tuber size at genotypic level.  
   Total tuber yield showed positive genotypic and 
phenotypic association with days to maturity, tuber 
number per plant, average tuber weight, marketable 
tuber number, tuber dry matter, tuber starch content 
and proportion large tuber size but showed negative 
association with proportion of small tuber sizes. Both 
marketable tuber yield and total tuber yield were 
positively correlated with plant stem height, tuber 
yield per plant, tuber number per plant, marketable 
tuber number and average tuber weight, tuber dry 
matter, tuber starch content and proportion of large 
tuber numbers at phenotypic level. These positive 
correlations indicating that selection for improving 
one character will lead to increase the other one 
which is positively correlated with that character. In 
contrast, marketable tuber yield and total tuber yield 
were negatively correlated with proportion of small 
tuber sizes. In similarly with Abraham Lamboro et al. 
(2014) and Addisu Fekadu et al. (2013) who reported 

highly significant negative correlation of total tuber 
yield with proportion of small sized tubers at 
genotypic and phenotypic level. Negative correlation 
between two traits implies selection for improving 
one character will likely cause decrease in the other 
traits. 
   In present study the tuber dry matter had exhibited 
strong phenotypic and genotypic correlation (r = 1) 
with tuber starch content. This suggested that the 
simple selection to improve one trait simultaneously 
increase the second character. Similarly, highly 
significant correlation was reported for dry matter 
and tuber starch content by Wassu Mohmmad (2016) 
who observed the correlation was near to perfect (r = 
0.97 to 0.99) and Khayatnezhad et al. (2011) that 
reported stronger positive and significant correlations 
between starch content and dry matter content. 
Generally, in most of traits genotypic correlation was 
higher than phenotypic correlation indicating an 
inherent association between various characters. This 
agrees with Addisu Fekadu et al. (2013) who reported 
higher genotypic correlation than phenotypic 
correlation. The main genetic cause of such 
correlation is pleiotropy, which refers to manifold 
effects of a gene (Falconer, 1989). 
   Above results were similarly reported by Tripura et 
al. (2016) who found tuber number per plant have 
positive and significant association with total tuber 
yield. Panigrahi et al. (2017) reported that total tuber 
yield showed positive and significant correlation with 
marketable tuber yield at both phenotypic as well as 
at genotypic levels. Sattar et al. (2007) reported tuber 
yield per plant was positively and significantly 
correlated with number of tubers per plant, average 
tuber weight and dry matter content of tuber. He also 
showed the significant positive genotypic correlation 
of average weight of tubers with number of tubers 
per plant, yield of tuber per plant and tuber dry 
matter percentages. 



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Table 6. Genotypic (above diagonal) and phenotypic (below diagonal) correlation coefficients for different pairs of traits in potato. 

Trait DE DF DMA SH SN TYP TNP AW MTN MY TY DM SC SMN LSN 

DE 1 0.24*    0.14 -0.21 -0.4** -0.15 -0.26*    0.1 -0.24* -0.09 -0.09 0.07 0.07 -0.09 0.14 

DF 0.21*    1 -0.07 0.1 -0.15 0.11 0.01 0.15 0.00 0.12 0.14 0.05 0.05 -0.014 0.23* 

DMA 0.04 -0.03 1 0.02 0.02 -0.03 0.07 0.02 0.04 0.07* 0.11* -0.03 -0.03 0.09 0.07 

SH -0.17* 0.07 -0.02 1 0.1 0.102 0.73**   0.36**    0.43**    0.67**    0.71 **     0.41**         0.41**    -0.30*    0.43** 

SN -0.29*   -0.13 -0.04 0.07 1 0.13 0.53**   -0.36**   0.42** 0.08 0.1 0.04 0.04 0.19 -0.39** 

TYP -0.12 0.09 0.02 0.69**    0.11 1 0.5** 0.49 **   0.61**    0.91**        0.97**       0.54**    0.54**    -0.4**     0.54** 

TNP -0.2*    -0.00 -0.02 0.35**    0.45**   0.5**    1 -0.35*    0.8** 0.39* 0.47**       0.38*      0.38*     0.23*     -0.35* 

AW 0.08 0.13 0.03 0.38**    -0.3**    0.59**    -0.36**    1 -0.03 0.35* 0.59**      0.25*       0.25*       -0.58**    0.90** 

MTN -0.23* -0.02 -0.23* 0.38** 0.34** 0.57** 0.71** -0.05 1 0.7**          0.64**      0.47**    0.47**     -0.36*     -0.01 

MY -0.10 0.10 0.05* 0.61**    0.06 0.89**      0.41**    0.54**   0.67** 1 0.95**     0.52**      0.52**     -0.56**    0.61** 

TY -0.08 0.11 0.06* 0.68**    0.07 0.95**       0.49**    0.54**    0.54**    0.93**    1 0.56**    0.56**   -0.40*   0.57** 

DM -0.06 0.04 0.03* 0.31**    0.05 0.45**    0.3**    0.21*    0.38** 0.44**    0.45**    1 1.00**    -0.21 0.18 

SC -0.06 0.04 0.03* 0.31**    0.05 0.45**    0.3**    0.21* 0.38** 0.44**   0.45**    1.0**   1 -0.21 0.18 

SMN 0.08 0.01 -0.04 -0.14 0.08 -0.23*   0.16*   -0.39**   -0.52** -0.4**    -0.20*   -0.21* -0.21*    1 -0.64** 

LSN 0.1 0.21* 0.05 0.39** -0.35 0.51** -0.34** 0.87** -0.03 0.57** 0.53** 0.14 0.14 0.14 1 

Note: *and **, significant at P<0.05 and P<0.01, respectively, DE = days to emergency, DF = days to flowering, DMA = days to maturity, SH = plant stem    height, SN = main stem number, TYP = 
tuber yield per plant, TNP=tuber number per plant, AW = average tuber weight, MTN = marketable tuber number, MY = marketable yield, UNMY = unmarketable yield, TY = total tuber yield, SMN 
= very small tuber size percentage, LSN = large size tuber percentage, DM = tuber dry matter content (%) and SC = tuber starch content (%). 

 



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13 

4. Conclusions 
Genetic variability is the base for the crop 
improvement. The availability of more diverse 
current materials obtained from local crossing 
indicated the chance of getting desirable genes to 
improve the potato crop. Hence, potato offspring 
generated from hybridization of cultivated potato 
varieties showed genetically variability in yield and its 
related traits and morphological traits in the current 
study. The high range and mean values of the 
evaluated parental varieties and progenies also suggest 
that the existence of enough variability correlations of 
traits. Biparental crosses of Jalene with Aterababa and 
Belete with Aterababa varieties produced more 
promising/better genotypes than the crosses of Gera 
and Shenkola, and standard check variety in yield and 
yield related traits. So, the result of this study also 
indicated the continuously producing more diverse 
clones by local crossing can reduce dependency on 
international potato center materials in the country. 
Therefore, additional experiments will be carried out 
to evaluate the most promising genotypes for 
desirable traits, with the purpose to either produce 
new variety or select parental lines for further 
breeding.  
 

5. Acknowledgments  
We are indebted to Amhara Regional Agricultural 
Research Institute (ARARI) and Adet Agricultural 
Research Center for the financial support that 
enabled us to do the research.  
 

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