Vol. 6, Issue 4 (2018)
Assessment of genetic diversity of chickpea genotypes using D2 statistics
Author(s): Lalji N Gediya, Dipak A Patel, Dinesh J Parmar, Rumit Patel and Parth Rahevar
Abstract: D2 analysis indicated wider genetic diversity among 58 genotypes of chickpea, which were grouped into sixteen clusters. In general, intra-cluster distances were lower than inter-cluster distances, indicating that genotypes included within a cluster tended to diverse less from each other. Maximum genetic divergence was observed between cluster IX and XVI, followed by Cluster IX and XIV, while closest proximity was noticed between cluster III and VIII. The characters viz., seed yield per plant, 100 seed weight, seeds per plant and pods per plant contributed much to the total genetic divergence. Hence, selection for divergent parents based on these characters would be useful for developing potential hybrids and increasing scope of isolating desirable recombinants in segregating generation in chickpea. On the basis of cluster mean values, cluster XII was superior for seed yield per plant and harvest index; cluster XV for pods per plant, seeds per plant and first pod height and cluster X for 100 seed weight. For early flowering and maturing, cluster XIV was found superior, while cluster VII was best for protein content. The genotypes belonging to the clusters separated by high genetic distance could be used in hybridization programme for obtaining a wide spectrum of variation among the segregants.
Pages: 3177-3181 | 531 Views 56 Downloads
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How to cite this article:
Lalji N Gediya, Dipak A Patel, Dinesh J Parmar, Rumit Patel, Parth Rahevar. Assessment of genetic diversity of chickpea genotypes using D2 statistics. Int J Chem Stud 2018;6(4):3177-3181.
