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Research Article Open access CC BY 4.0

Estimates of Contribution, Claustration and Principal Component Analysis in Different Genotype of Brinjal (Solanum melongena L.)

Akhil Kumar Chaudhary, Lav Kumar, Shani Kumar, Rajat Kumar Maurya, Rupesh Kumar

International Journal of Plant & Soil Science · pp. 725–730 · Published 6 Dec 2023

10.9734/ijpss/2023/v35i224184

Abstract

The present investigation was carried out in thirty-two genotypes of brinjal with a view to estimate the extent of variability, variance and genetic divergence. The experiment was conducted in Randomized Block Design with three replications at Department of Vegetable Science, Acharya Narendra Deva University of Agriculture and Technology Narendra Nagar, (Kumarganj), Ayodhya (U.P.), during Kharif, 2020-21. Each treatment consisted of twelve plants in two rows, having spacing of 60 cm x 50 cm with net plot size of 1.2 m x 3.0 m2. Based on the Principal Component Analysis (PCA) with 15 parameters of cent percent diversity, it formed 6 Principal Components (PCs) with more than one Eigen value. These components indicate maximum variation among the variables with a diversity percentage of 75.46%. The first PC showed 19.59% variation, while the second, third, fourth, fifth and sixth (PCs) showed the variation of 19.18%, 11.48%, 9.37%, 8.29% and 7.54% respectively. Contribution of diverse traits in principal component analysis showed positive and maximum variable loaded component PCI for T.S.S (0.3321), PC II for number of primary branches per plant (0.0.6397), PC III for days to 50 % flowering (0.5158), PC IV for plant height (0.0.592), PC V for day to first fruit harvest (0.4073) and PC VI for day to first fruit harvest (0.5741).

Percent contribution clusters principal component analysis genotypes

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