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Multivariate Analysis through Principal Components for Yield-Attributing Traits in Indigenous Moringa (Moringa oleifera L.) Germplasm Lines
Author(s) -
J. Karunakar,
T. L. Preethi,
N. Manikanta Boopathi,
L. Pugalendhi,
S. Juliet Hepziba,
Y. M. Mahadev Prasad
Publication year - 2022
Publication title -
international journal of plant and soil science
Language(s) - English
Resource type - Journals
ISSN - 2320-7035
DOI - 10.9734/ijpss/2022/v34i930916
Subject(s) - moringa , germplasm , principal component analysis , yield (engineering) , genetic diversity , indigenous , biology , microbiology and biotechnology , agronomy , mathematics , statistics , ecology , demography , food science , population , materials science , metallurgy , sociology
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.

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