Association and Multivariate Analysis of Yield and Yield Component Traits in Mungbean [Vigna radiata (L.) Wilczek]

Abstract

Magnitude of the genetic variability present in a population and divergence among the accessions are of paramount importance to a plant breeder for development of improved variety. In the present study correlation and path coefficient analysis, principal component analysis (PCA) and some selection parameters were computed for yield and its contributing characters in 51 mungbean genotypes. Significant variations among the genotypes were observed for all the characters. High heritability (broad-sense) along with high genetic advance was observed for all the characters except days to maturity. Pods/plant showed very high positive direct effect and significant positive genotypic correlation with seed yield/plant. The PCA segregated the 51 accessions into eight clusters in the scatter diagram. Eigen value more than one of the first four principal components contributed 79.18% of the total variability among 51 genotypes evaluated for 10 quantitative traits. Cluster VII had high mean value for plant height, primary branches/plant, secondary branches/plant, pods/plant, seeds/pod and seed yield/plant. Therefore, genotypes of cluster VII (ML-515, PUSA-105, T-44, and RMG-991) could be directly selected and utilized for improvement of these traits.