Principal component analysis among vegetable soybean genotypes (Glycine max L. Merrill)

Devi Sri Dunna; Nanita Devi Heisnam; Renuka Devi Thokchom; Bireswar Sinha; Okendro Singh

doi:10.36953/ECJ.14532442

Principal component analysis among vegetable soybean genotypes (Glycine max L. Merrill)

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Published Apr 11, 2023

DOI https://doi.org/10.36953/ECJ.14532442

Devi Sri Dunna

Department of Genetics and Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, Manipur, India, 795004

https://orcid.org/0000-0002-6513-4427

Nanita Devi Heisnam

Department of Genetics and Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, Manipur, India, 795004

https://orcid.org/0000-0003-2939-6486

Renuka Devi Thokchom

Department of Genetics and Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, Manipur, India, 795004

Bireswar Sinha

Department of Plant Pathology, College of Agriculture, Central Agricultural University, Imphal, Manipur, India, 795004

Okendro Singh

Department of Basic Sciences, College of Agriculture, Central Agricultural University, Imphal, Manipur, India, 795004

Abstract

In the present study, 33 soybean genotypes were selected to study the association between the fourteen quantitative characters under study and to assess the magnitude of divergence between 33 genotypes for 14 traits during Kharif, 2021. For all measured traits, the results revealed significant variation among tested entries. The principal component analysis (PCA) was conducted for the 1quantitative characters and only 7 showed > 1 Eigen value and showed about 81.748% of total variation and remaining 7 components having a eigen value less than 1.00 and contributed only 18.252% of total Variation. Among the traits studied PC1 showed 20.7235 while, PC2 to PC 14 exhibited 15.205%, 12.69%, 9.476%, 9.142%,7.271%, 7.241%, 6.171%, 4.089%, 2.865%, 2.185%, 1.506%, 0.897% and 0.536% variability, respectively. Scree plots explained the percentage of variance. A high PC score for a specific genotype shows high value for those variables like EC 915989, EC 915900, EC 915993, EC 915975, EC 915903, EC 915898 and EC 915959 in PC1 and this indicated that these genotypes have high values for traits such as 100 Fresh pod weight and 100 Fresh seed weight.

How to Cite

Dunna, D. S., Heisnam, N. D., Thokchom, R. D., Sinha, B., & Singh, O. (2023). Principal component analysis among vegetable soybean genotypes (Glycine max L. Merrill). Environment Conservation Journal, 24(3), 79–86. https://doi.org/10.36953/ECJ.14532442

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Keywords

Eigen values, Genotypes, Miracle crop, Screeplot

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Issue

Vol. 24 No. 3 (2023): Environment Conservation Journal

Section

Research Articles