Multivariant analysis using principal component analysis for various traits in Mungbean

Abstract

Present experiment was to estimate the selectable diversity using principal component analysis among sixty mungbean germplasm for eleven different quantitative characters. The 1st three PCs having eigen value greater than unity contributed around 70% of variability. The 1st Component accounted for 32.87% of variability and this contribution is because of the traits viz., maturity, genotype height and 50% flowering. 2nd PC contributed 22.78% of variability and this contribution is because of pods/plant, clusters/plant, flowering of 50% of plants in the plot, pods/cluster, yield/plant, maturity and plant height. The remaining variability was accumulated at component 3 (14.11%) and component 4 (8.77%). The 78.55% of variance of total variation among 11 characters was described by the 1stfour axes. By studying the 2-dimentional and 3-dimentional scattered figures the lines, LGG 630, PM 5, LGG 607, MGG 385 and WGG 42, found more diverse and are capable of giving transgressive segregants or heterotic F1s based on nature of gene action.