International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:3, March, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(3): 129-140

Principal Component Analysis of Soybean Genotypes under Post Anthesis Drought Stress
Swati Saraswat* and Stuti Sharma
Department of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (M.P.), India
*Corresponding author

In the present study, PCA performed for phenological and yield component traits revealed that out of sixteen, only four principal components (PCs) exhibited more than 1.00 eigen value, and showed about 74.79 % total variability among the traits studied under stress condition while under normal condition out of sixteen, only five principal components (PCs) exhibited more than 1.00 eigen value and showed about 77.84% variability among the traits studied. Scree plot explained the percentage of variance associated with each principal component obtained by drawing a graph between eigen values and principal component numbers. A high value of PC score of a particular genotype in a particular PC denotes high value for those variables. On the basis of PCA analysis under both stress as well as normal condition soybean genotypes namely; TGX 852-3D, SQL 89 and YOUNG have been selected for all the yield component traits under study and CAT 2082 and MACS 58 have been selected for phenological traits. This will help in the further improvement of genotypes for post anthesis drought stress breeding.

Keywords: PCA, Eigen value, Soybean, Principal component

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How to cite this article:

Swati Saraswat and Stuti Sharma. 2021. Principal Component Analysis of Soybean Genotypes under Post Anthesis Drought Stress.Int.J.Curr.Microbiol.App.Sci. 10(3): 129-140. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.