Analysis Of Genethc Dhvjergence and Character Associatiion in Greengram (Vigna Rradiata L. Wilczek)

Abstract

The present investigation entitled, "Analysis of Genetic divergence and Character association in greengram [Vigna radiata (L.) Wilczek]" involving thirty five genotypes was under taken to examine the genetic variability, heritability, genetic advance, correlation coefficient, path coefficient analysis and genetic divergence. All the thirty-five greengram genotypes were tested in randomized block design with 3 replications during kharif20I3. Observations were recorded for days to 50% flowering, days to maturity, plant height, number of branches per plant, clusters per plant, pods per cluster, pods per plant, seeds per pod, pod length, biological yield per plant, 1 00-seed weight, harvest index, seed yield per plant Analysis of variance revealed substantial amount of variability among the genotypes for all the characters under study indicated wide spectrum of variability among the genotypes. High heritability coupled with high genetic advance were observed for days to maturity, plant height, branches per plant, pods per plant, clusters per plant, I 00-seed weight, biological yield per plant, harvest index and seed yield per plant. Improvement in yield can be made by selecting these yield contributed traits having high heritability coupled with high genetic advance. Phenotypic correlations were of higher magnitude as compare to their corresponding genotypic correlation in most of the character combination. Seed yield per plant was found with biological yield per plant, pods per plant, harvest index, clusters per plant, pods per cluster, plant height, pod length, branches per plant, I 00-seed weight. Thus any selection based on these characters will enhance performance and improvement in greengram. Path coefficient analysis showed that clusters per plant, biological yield per plant, harvest index, pods per plant, pod per cluster, IOO-seed weight, seeds per pod, plant height, and pod length contributing directly to seed yield. Mahalanobis D2 statistic revealed considerable genetic diversity among the genotypes. The genotypes grouped into six clusters. The II and I cluster having the maximum number of genotypes. This envisaged that the genotypes grouped within a particular cluster are more or less genetically similar to each other and apparent wide diversity is mainly due to the remaining genotype distributed over rest of the other clusters. Divergence study suggested that crosses suggesting genotypes like IPM 02-3, Pant M-5, Pusa0672, Pusa953l, MH-318, ML-1451, IPM 02-14 with AKM-9904 and BDRY-2, with NDM 6-64, MH-521, Pant M-2, RMG-975, PDM 96-262, MH-565, HUM-12, Pusa0891, RMG-90, Pusa0871, MH-427 for getting desired segregants from breeding point of view.