Author(s):
CH Santhi Priya, D Ratna Babu, A Prasanna Rajesh, N Hari Satyanarayana, V Manoj Kumar and V Srinivasa Rao
Abstract:
Present experiment was to estimate the selectable diversity using principal component analysis among sixty mungbean germplasm for eleven different quantitative characters. The 1
st three PCs having eigen value greater than unity contributed around 70% of variability. The 1
st Component accounted for 32.87% of variability and this contribution is because of the traits
viz., maturity, genotype height and 50% flowering. 2
nd 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 1
stfour 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 F
1s based on nature of gene action.
CH Santhi Priya, D Ratna Babu, A Prasanna Rajesh, N Hari Satyanarayana, V Manoj Kumar and V Srinivasa Rao. Multivariant analysis using principal component analysis for various traits in Mungbean. J Pharmacogn Phytochem 2019;8(5):2425-2429.