Multivariate Analysis through Principal Components for Yield-Attributing Traits in Indigenous Moringa (Moringa oleifera L.) Germplasm Lines
J. Karunakar, T. L. Preethi, N. Manikanta Boopathi, L. Pugalendhi, S. Juliet Hepziba, Y. M. Mahadev Prasad
International Journal of Plant & Soil Science · pp. 87–94 · Published 19 Mar 2022
10.9734/ijpss/2022/v34i930916Abstract
The present investigation was carried out at the Department of Vegetable Crops, Horticultural College and Research Institute (HC&RI), Tamil Nadu Agricultural University, Periyakulam during 2016 -2017. Twenty genotypes used to study the genetic diversity for different yield attributing characters of moringa by principal component analysis. In this study, out of twelve principal components, five components exhibited eigen value and revealed about 99.54% variability among the traits. The PC1 accounted for the highest variability (62.20%), followed by PC5 (28.86%) , PC (10 6.25%), PC7 (1.01%) and PC4 (0.75%). The results of the Principal Component Analysis revealed that wide genetic variability exists in these moringa genotypes.
Cited by 2
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