page 141 Genetic divergence for yield and yield-contributing traits in cucumber (Cucumis sativus L.) H. R. Sharma and Deepa Sharma Dr. Yashwant Singh Parmar University of Horticulture and Forestry Horticultural Research Station Kandaghat, District Solan, Himachal Pradesh - 173 215 India E-mail: hrs_kgt@yahoo.com ABSTRACT The cluster analysis grouped the thirty one genotypes of cucumber, collected from different sources in India, into seven clusters. The genotypes Jorji Local, Bengal 60, JJL and Derabassi Local were promising with respect to yield per plant and fruit length, while Gyn-2, Gyn-3 and Gyn-4 were superior for number of fruits per plant. However, genotypes Chakkimore local, Farukabad Local, Chamoli Local and Chamba Local were promising for average fruit weight and fruit breadth. Key words: Cluster analysis, cucumber, genetic divergence, Cucumis sativus L. Cucumber (Cucumis sativus L.) is an important vegetable crop that has its origins in the Indian sub- continent. A lot of diversity in this crop exists in the country. But, most of the farmers grow their own land races to fulfil their domestic or local market demands. A huge portion of the diversity is, thus, still restricted to kitchen gardens or individual farms. Hence, efforts were made to collect this diversity from farmers’ fields or kitchen gardens from all over India and to use it in active crop improvement programmes. In this study, the non-hierarchical clustering approach was employed to evaluate and assess genetic divergence among genotypes/land races and to select elite ones for further crop improvement. The experimental material comprised of 31 genotypes/land races of cucumber collected from different sources in India. The experiment was laid out at Dr. Y.S. Parmar University of Horticulture and Forestry, Horticultural Research Station, Kandaghat, Solan (Himachal Pradesh) during Kharif, 2005.The experimental site is situated at an altitude of 1270m above mean sea level, lying between latitude 30o52’ North and longitude 77o11’ East. It falls under the mid hill zone of Himachal Pradesh. The climate ranges from sub-tropical to sub-temperate. Sixteen plants of each genotype were transplanted at the recommended spacing of 1.5 X 1.0 m. Standard cultural practices to raise the cucumber crop in mid hills were followed as per recommendations of package of practices developed by the University. The observations on number of fruits per plant, yield per plant, average fruit weight, fruit length and fruit width were recorded on 10 randomly selected competitive plants from each plot. Mean values in each replication for all the traits were subjected to statistical analysis. Genetic divergence analysis was performed using non-hierarchical Euclidean cluster analysis (Spark, 1973). The performance of 31 genotypes of cucumber with respect to fruit yield and fruit traits is given in table 1. Cluster analysis grouped the genotypes of cucumber into seven clusters. The maximum number of genotypes (7 genotypes) were grouped in cluster I followed by cluster V and Cluster VII (5 genotypes each), cluster II and Cluster VI (4 genotypes each), and, cluster III and cluster IV (3 genotypes each). The composition of the clusters is given in table 2. Intra-cluster distances (Table 3) revealed that the maximum divergence was present in cluster II (1.319), followed by cluster VI (1.135) and cluster VII (1.127). The lowest value of intra-cluster distance (0.769) was observed for cluster III indicating limited genetic divergence in this group. The maximum inter-cluster distance (4.875) was observed for cluster II and cluster III, followed by cluster J. Hort. Sci. Vol. 1 (2): 141-143, 2006 Short communication page 142 Table 1. Performance of cucumber genotypes for fruit yield traits Genotype Number of Fruit yield Average fruit Fruit Fruit fruits per plant per plant (kg) weight (g) length (cm) width (cm) Sex form Fruit colour K-75 12.0 3.6 300.0 17.5 7.1 Monoecious Light green K-90 13.0 4.1 320.0 20.1 7.6 Monoecious Light green Gyn-1 18.0 4.5 250.0 13.5 6.0 Gynoecious Dark green Gyn-2 19.0 4.7 250.0 17.0 8.0 Gynoecious Light green Gyn-3 20.0 5.5 275.0 21.5 7.5 Gynoecious Dark green Gyn-4 19.0 5.7 300.0 20.0 8.5 Gynoecious Light green MNCC 01 11.0 2.7 250.0 12.5 6.2 Monoecious Light green MNCC 02 12.0 3.0 250.0 13.0 6.5 Monoecious Light green MNCC 03 12.0 3.7 312.5 13.5 7.0 Monoecious Light green EC 173931 8.0 3.4 425.0 26.0 6.4 Monoecious Green EC 173940 9.0 2.5 277.7 20.5 6.8 Monoecious Green EC 173971 7.0 2.8 407.1 19.2 7.3 Monoecious Green Poinsett-76 8.0 2.0 250.0 12.9 5.7 Monoecious Dark green Market More 10.0 3.6 366.0 19.5 6.8 Monoecious Green Sheetal 11.0 3.0 280.0 23.4 7.6 Monoecious Light green Orissa Local 9.0 3.1 350.0 21.8 6.9 Monoecious Dark green Sanech Local 6.0 3.6 600.0 22.5 6.5 Monoecious Light green Subathu local 7.0 2.8 407.1 19.7 7.0 Monoecious Light green Jorji Local 14.0 5.9 425.0 29.0 7.5 Monoecious Light green Chakkimor Local 9.0 4.5 500.0 25.0 8.5 Monoecious Light green Faizabad Local 8.0 3.6 450.0 17.8 6.3 Monoecious Green Hisar Local 7.0 3.3 471.4 19.5 6.4 Monoecious Green Farukabad Local 12.0 5.2 433.3 22.5 9.0 Monoecious Light green Bengal 60 14.0 6.1 439.2 18.0 7.5 Monoecious Dark green Kanpur Local 7.0 3.2 464.2 20.5 7.0 Monoecious Dark green Chamoli Local 8.0 3.8 475.0 22.0 9.0 Monoecious Green Pilibhit Local 6.0 2.8 475.0 17.0 6.4 Monoecious Green JJK 10.0 6.2 625.0 25.0 8.0 Monoecious Light green Derabassi Local 11.0 5.9 536.3 22.0 7.5 Monoecious Light green Chamba Local 6.0 3.9 650.0 19.5 8.5 Monoecious Green Himangi 13.0 4.4 338.4 15.5 7.5 Monoecious White Mean 10.4 4.1 392.0 19.5 7.2 - - III and cluster VI (4.703), cluster I and cluster IV (4.251), and cluster III and cluster IV (4.221). Parents selected from these clusters may, thus, provide a broader genetic base for crop improvement programmes and may produce heterotic hybrids or transgressive segregants in later generations. Similar findings have also been reported earlier in some genotypes of cucumber (Prasad et al 1993, 2001; More and Seshadri 2002; Rao et al, 2003; Xu et al 2003). They too adopted the clustering approach to identify parents for crop improvement programmes. Cluster means (Table 4) for different traits indicated that maximum number of fruits per plant (19.3) was produced by members of cluster IV, whereas, yield per plant and fruit length were maximum for cluster II (6.0 kg and 23.5 cm, respectively). However, maximum average fruit weight (514.5 g) and fruit breadth (8.7 cm) were observed for cluster VI. The genotypes Jorji Local, Bengal 60, JJL and Derabassi Local are promising with respect to yield per plant and fruit length while, Gyn-2, Gyn-3 and Gyn-4 are superior for number of fruits per plant. However, genotypes Chakkimore local, Farukabad Local, Chamoli local and Table 2. Composition of clusters in cucumber Cluster Number of genotypes Genotypes I 7 EC 173971, Sanech Local, Subathu local, Faizabad Local, Hisar Local, Kanpur Local, Pilibhit Local II 4 Jorji Local, Bengal 60, JJK, Derabassi Local III 3 MNCC 01, MNCC 02, Poinsett-76 IV 3 Gyn-2, Gyn-3, Gyn-4 V 5 EC 173931, EC 173940, Market More, Sheetal, Orissa Local VI 4 Chakkimor Local, Farukabad Local, Chamoli Local, Chamba Local VII 5 K-75, K-90, Gyn-1, MNCC 02, Himangi J. Hort. Sci. Vol. 1 (2): 141-143, 2006 Sharma & Sharma 142 page 143 Table 3. Intra and inter cluster distance values in cucumber Cluster I II III IV V VI VII I 0.831 II 3.162 1.319 III 2.760 4.875 0.675 IV 4.251 2.914 4.221 0.769 V 1.461 3.074 2.659 3.450 0.959 VI 2.729 2.152 4.703 3.626 2.807 1.135 VII 2.508 3.130 2.058 2.267 2.048 3.325 1.127 Table 4. Cluster means for five characters in cucumber Cluster Number of Yield per Average Fruit Fruit Fruits plant fruit length width per plant (kg) weight (g) (cm) (cm) I 6.8 3.1 467.8 19.4 6.7 II 12.2 6.0 506.4 23.5 7.6 III 10.3 2.5 250.0 12.8 6.1 IV 19.3 5.3 275.0 19.5 8.0 V 9.4 3.1 339.7 22.2 6.9 VI 8.7 4.3 514.5 22.2 8.7 VII 13.6 4.0 304.1 16.0 7.0 Table 5. Promising genotypes for different traits Trait Genotypes Number of fruit Gyn-2, Gyn-3, Gyn-4 per plant Yield per plant Jorji Local, Bengal 60, JJK, Derabassi Local Average fruit Chakkimor Local, Farukabad Local, weight Chamoli Local, Chamba Local Fruit length Jorji Local, Bengal 60, JJK, Derabassi Local Fruit width Chakkimor Local, Farukabad Local, Chamoli Local, Chamba Local (MS Received 30 September 2006, Revised 29 November 2006) Chamba Local are the promising ones for average fruit weight and fruit breadth (Table 5). REFERENCES More, T.A. and Seshadri, V.S. 2002. Studies on genetic divergence in muskmelon (Cucumis melo L.). J. Mah. Agri.Univ., 27: 127-131 Prasad, V.S.R.K., Jain, B.P., Verma, S.P.P. and Ganguly, D.K. 2001. Diversity pattern and choice of parents for hybridization in slicing cucumber (Cucumis sativus L.). J. Res. Birsa Agri. Univ., 13: 33 39 Prasad, V.S.R.K., Singh, D.P. and Singh, R.P.. 1993. Biological divergence in the land races of Indian cucumber (Cucumis sativus L.). Ind. J. Hort., 50: 57-63 Rao, E.S., Verma, V.K. and Munshi, A.D.2003. Breeding potential of cucumber (Cucumis sativus L.) genotypes using D2 analysis. Ind. J. Hort., 60: 53-58 Spark, D.N. (1973) Euclidean cluster analysis. Algorithm AS 58. Appl. Stat., 22:126-130 Xu QiAng Liu JinSheng, Chen XueHao, Li LingLi , Go ShaoGui Chen ZhiMing, Xiao JiAng, Cao BeiSheng, Xu Q.A., Liu J.S., Chen, XH Li LL Go SG,Chen. Z.M., Xiao, J.A. and Cao, B.S. 2003. Principal component and cluster analysis of quality characters of pickling cucumber (Cucumis sativus L.). J. Yangzhou Univ. Agric. Life Sci., 24:78-81 J. Hort. Sci. Vol. 1 (2): 141-143, 2006 Genetic divergence in cucumber 143