Vol. 8, Issue 11, Part K (2024)
Association and principal component analysis of proximate traits for identification of nutrient-rich line in soybean (Glycine max L. Merrill) germplasm
Kumar Jai Anand, MK Shrivastava, Pawan K Amrate, Yogendra Singh, Teena Patel and Vijay Kumar Katara
The investigation was conducted to analyze important seed quality parameters of soybeans during Kharif 2022 at J.N.K.V.V., Jabalpur, Madhya Pradesh. Proximate analysis noted significant differences among the genotypes concerning proteins, fat, carbohydrates and ash. Soxhlet’s extraction method is used for oil content estimation, ranging from 17.6% (JS 22-32) to 21.6% (JS 22-18), with an average of 19.26%. The conventional Micro-Kjeldahl digestion and distillation procedure is used for crude protein extraction. Genotypes exhibited significant variations in protein content ranging from 42.2% (JS 22-48) to 35.2% (EC 350664). The crude protein percentage of soybean showed a significant negative association with oil content (-0.33) and carbohydrate percentage (-0.27). Genotypes JS 24-26 had 6% ash content, whereas the lowest was observed in DS 3104 and JS 23-02, both having 3% ash content, whereas the carbohydrate content was found to be the highest amount in EC 350664 (24.8%) and the lowest in AMS MB 5-19 (20.3%). The Principal Component Analysis showed that out of 4, only two principal components (PCs) exhibited more than 1 Eigenvalue and showed about 64.55% variability among the traits studied. PC1 had the highest variability (37.26%), followed by PC2 (27.28%) for traits under study. Genotype EC 350664 showed maximum positive PC scores and genotypes JS 21-07 were shared in PC1 and PC2. The study provides valuable information on soybean genotypes with high protein and oil content for breeders to select and utilize in soybean quality improvement programmes.
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