Estimation of Genetic Divergence and Proximate 
Composition in Advanced Breeding Lines of 
Soybean (Glycine max (L.) Merrill)

Jhilick Banerjee, M.K. Shrivastava, Yogendra Singh,
Pawan K. Amrate

Received 14 March 2023, Accepted 19 June 2023, Published on 4  September 2023

ABSTRACT

The present study was carried out on fifty seven advanced breeding lines of soybean along with 3 checks viz. JS 20-98, JS 20-116 and JS 20-34 during kharif 2020. The objective of this study was to estimate the genetic divergence among  genotypes with the help of Mahalanobis’s D2 statistics. In the present investigation eleven yield contributing traits were recorded with 3 replications in a Randomized Complete Block Design. These 57 lines alongwith three checks were grouped into 8 clusters. Cluster I was polygenotypic (53)  and rest all 7 clusters were monogenotypic (1). Principal component analysis revealed six putative genotypes which were JS 20-116 (PC1, PC2), JS 22-33 (PC1, PC2, PC3) JS 22-13 (PC1, PC3), JS 22-42 (PC1, PC3, PC4), JS 22-56 (PC2, PC3, PC4), JS 22-36 (PC2, PC3). Proximate analysis reported significant differences among the genotypes with respect to moisture content, ash, proteins, fat, fiber and carbohydrate. The moisture content ranged from 4-7%. The oil content ranged from 15% (JS 23-03, JS 20-98) -23% (JS 22-46). Genotypes exhibited significant variations in protein content ranging from 42.8% (JS 22-42) to 33.6% (JS 22-25). The ash content ranged from 6% (JS 22-22 and JS 22-38) to 3% (JS 23-02, JS 22-10, JS 22-16 and JS 22-44) whereas the carbohydrate content was found in the range of 35.2% (JS 22-54) to 12.1% (JS 22-46).

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Keywords   Genetic divergence, Polygenotypic, Principal component analysis, Proximate, Protein.