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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 8, Issue 5 (2019)

Multivariant analysis using principal component analysis for various traits in Mungbean

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 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.

Pages: 2425-2429  |  658 Views  214 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
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.

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