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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.
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References
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- Wold, H. (1966). Estimation of Principal Components and Related Models by Iterative Least Squares. In: Multivariate Analysis, Krisnaiaah P.R. (Eds). Academic Press, New York, pp. 391-420.
- Zhang, Q.Y., Li, Y.S., & Liu, X. B. (2015). Edible quality and its regulation in vegetable soybean (Glycine max (L.) Merril).2015 ASA, CSSA, SSSA International Annual Meetings November 15-18, 2015, Minneapolis, MN.
References
Bello, L. L., Aondover, S., & Terkimbi, V. (2012). Studies on relationship between seed yield and yield components in soybean [Glycine max (L.) Merrill]. Electronic Journal of Plant Breeding, 3(4), 1012-1017.
Brachfeld, A., & Choate, M. (2007). Eat your food! Gastronomical glory from garden to gut: a Coastalfields cookbook, nutrition textbook, farming manual and sports manual. Coastal fields. Arvada, CO, USA, pp. 275.
Dubey, N., Avinashe, H. A., & Shrivasthava, A. N. (2018). Principal component analysis in advanced genotypes of soybean [Glycine max (L.) Merrill]. Plant Archives, 18(1), 501-506.
Fehr, W. R., Caviness, C. E., Burmood, D. T., & Pennington, J. S. (1971). Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crops Science, 11, 929-931. DOI: https://doi.org/10.2135/cropsci1971.0011183X001100060051x
Iqbal, Z., Arshad, M., Ashraf, M., Mahmood, T., & Waheed, A. (2008). Valuation of soybean [Glycine max (L.) Merrill] germplasm for some important morphological traits using multivariate analysis. Pakistan Journal of Botany, 40(6): 2323-2328.
Jakhar, N. K., & Arjun, K. (2018). Principal component analysis and character association for yield components in greengram [Vigna radiata (L.) Wilczek] genotypes. Journal Pharmacogn Phytochemistry, 7 (2): 3665-3669.
Jolliffie, I.T. (1986). Principal Component Analysis. Springer. DOI: https://doi.org/10.1007/978-1-4757-1904-8
Massay, W.F. (1965). Principal components regression in exploratory statistical research. Journal of the American Statistical Association, 60, 234-246. DOI: https://doi.org/10.1080/01621459.1965.10480787
Ojo, D. K., Ajayi, A. O., & Oduwaye, A. O. (2012). Genetic relationships among soybean accessions based on morphological and RAPDs techniques. Pertanika Journal of Tropical Agriculture Science, 35(2), 237 – 248.
Shanmugasundaram, S. (2001). Global extension and diversification of fresh and frozen vegetable soybean. In: Lumpkin TA and Shanmugasundaram S (Compilers), 2nd International Vegetable Soybean Conference, Washington State University, Pullman, p. 161-165.
Shurtleff, W., & Aoyagi, A. (2009). History of edamame, green vegetable soybeans, and vegetable-type soybeans (1275-2009): Extensively annotated bibliography and sourcebook. Soybean information Center, Lafayette, CA.
Srikanth, T., Eshwari, K.B., & Bhave, M. H. V. (2017). Principal component analysis for yield components in Greengram Accessions (Vigna radiate L.). International Journal on Pure Applied Biosciences, 5 (4), 246-253. DOI: https://doi.org/10.18782/2320-7051.5080
Wold, H. (1966). Estimation of Principal Components and Related Models by Iterative Least Squares. In: Multivariate Analysis, Krisnaiaah P.R. (Eds). Academic Press, New York, pp. 391-420.
Zhang, Q.Y., Li, Y.S., & Liu, X. B. (2015). Edible quality and its regulation in vegetable soybean (Glycine max (L.) Merril).2015 ASA, CSSA, SSSA International Annual Meetings November 15-18, 2015, Minneapolis, MN.