Tailoring genetic diversity of mungbean [Vigna radiata (L). Wilczek] germplasm through principal component and cluster analysis for yield and yield related traits

Abstract The goal of investigation is to determine the extent of variability existing among 374 mungbean genotypes through Principal Component Analysis (PCA), cluster analysis and the relationship existing between yield and other characters through Pearson's correlation analysis. According to principal component analysis, 4 principal components (PC) had eigen values more than unity and accounted for 65.76% of the total variance among 12 characters. Amongst first four PCs, PC1 was accounted high proportion of total variance (30.53%) and the remaining three principal components viz., PC2, PC3 and PC4 revealed 16.05, 10.05 and 9.13% of total variance respectively. 374 accessions were classified into 8 clusters through hierarchical cluster analysis method. Cluster I composed of 218 accessions and it has maximum number of genotypes under study, whereas Cluster II and Cluster III consisted of 55 and 85 accessions respectively. Based on the cluster analysis results it was recommended that crosses could be made between the genotypes of Cluster VI and VIII, Cluster V and VIII, Cluster III and VIII and Cluster V and VIII.