Evaluation of Growth, Physiological, and Quality Parameters on Seed Yield of Soybean [Glycine max (L.) Merrill]

Evaluation of Growth, Physiological, and Quality Parameters on Seed Yield of Soybean [Glycine max (L.) Merrill] Piyush Upadhyay M. K. Shrivastava Stuti Sharma R. Shiv Ramakrishnan Sachin Prakash Nagre Salikram Mohare

Fifty genotypes of Soybean, including two checks (JS 20-98 and JS 20-34), were evaluated to assess the effect of various growth parameters on the seed yield of soybean cultivars and to determine their variability in protein and oil content as well as the correlation between both qualitative characters and yield parameters. The study was carried out during the Kharif season of 2019 at Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, JNKVV, Jabalpur, (MP). The experiment was laid out in a randomized complete block design (RCBD), having three replications. In the present studies, the data regarding Leaf area index (LAI), leaf area duration (LAD), Chlorophyll content index (CCI), oil, and protein percentage showed that there were significant differences among all varieties. The results from these data were analyzed using PCA and correlation analysis. There was a significantly positive correlation of LAI at 30, 45, and 60 DAS with seed yield. There was a significant positive correlation between LAD-1 (30-45DAS) and LAD-2 (45-60DAS) with seed yield and positive correlation between CCI to seed yield. Significantly negative correlation between oil and protein percent with the seed yield of the plant was observed. It was found that genotype EC 456615 had the highest protein content (41.62%), and genotype EC 389170 had the highest oil content (21.50%) among the studied genotypes.
05 02 2022 39 44 10.9734/ijpss/2022/v34i1831050 https://journalijpss.com/index.php/IJPSS/article/view/1847 https://journalijpss.com/index.php/IJPSS/article/download/31050/58295 https://journalijpss.com/index.php/IJPSS/article/download/31050/58295 https://journalijpss.com/index.php/IJPSS/article/download/31050/58296