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Restricted selection was used for estimating the genetic advance of yield and nutritional components viz., days to 50% flowering, plant height, panicle length, productive tillers per plant, days to maturity, test weight, protein, carbohydrate, calcium, iron, zinc, copper, manganese, phosphorus and grain yield per plant. The genetic advance of all the fifteen characters under study was estimated by assigning equal economic weights to all characters as well as by using inverse of means as their economic weights. In both cases, the trait plant height recorded maximum estimate of genetic advance in 11 out of 15 cases. The main outcome of the present study is the occurrence of similar trend in the both cases i.e., by assigning equal economic weights and using inverse of means of respective characters as economic weights. This indicates that both ways of assigning weights were equal effective and will result in similar conclusions.

Sixty greengram germplasm lines were subjected to multivariate analysis through Mahalanobis’ D2 statistics (Tocher’s method) and 60 genotypes were grouped into nine clusters. Cluster III was the largest with 19 genotypes, followed by cluster I having 17 genotypes, cluster II and VII with eight genotypes, cluster V having 5 genotypes and clusters IV, VI, VIII and IX were solitary clusters. The maximum inter-cluster distance was between cluster VIII and IV, followed by cluster VIII and V. It shows that there is wide genetic diversity between the clusters. On the basis of divergence between clusters, superior F1s or their transgressive segregants can be obtained by crossing between the genotypes belonging to cluster VIII and cluster IV and also between genotypes belonging to cluster VIII and cluster V which are having maximum inter cluster distance between them. Further such genotypes from above clusters which are having better per se are to be considered for hybridization programme.