Assessment of genetic divergence using Mahanalobis D2 and principal component analysis in dolichos bean (Lablab purpureus L.) Kujur Pradeep Kumar*, Bahadur Vijay, Shrivastava Rajnish, Kumar Akash Department of Horticulture, Sam Higginbottom Institute of Agriculture, Technology & Sciences, Allahabad, U.P *Corresponding author, Email: pradeep.kujur94@gmail.com
Online published on 26 December, 2017. Abstract Studies were carried out to assess the genetic divergence among thirty genotypes of dolichosbean using Mahanalobis D2 and principal component analysis of seventeen quantitative traits. Thirty genotypes of dolichos bean were grouped into six clusters. Maximum nine genotypes were included in cluster I and minimum (1) in cluster VI. Maximum inter cluster distance (92.76) was observed between cluster IV and VI and minimum (53.45) between the cluster III and cluster VI. The genotypes of cluster IV were observed with highest character mean for pod width, pod weight, green pod yield per plant and genotypes of cluster V recorded highest mean for number of pod pickings, 100 seed weight, less YBMV incidence and earliest days to flowering and earliest days for green pod harvest. Principal component analysis showed more than 93 per cent of variability for quantitative character in different genotypes. Days to 50% flowering, pod width, vine length, days to last green pod harvest were observed significant variable components and CG-2, CG-8, CG-14, CG-20, CG-21, VRSEM-186 and Pusa Sem2 were found with maximum value corresponding to these variables. Selecting genotypes from divergent clusters and utilizingthemin hybridization programme is likely to produce desirable recombinants, and may lead to improvement in dolichos bean for yield and its contributing traits. Top Keywords Dolichos bean, clusters, genetic divergence, principal component analysis (PCA). Top |