Correlation and path analysis for different traits in Soybean [Glycine max (L.) Merrill] genotypes favorable under foothill conditions of Nagaland
Author(s):
Ashna Akbar and HP Chaturvedi
Abstract:
Fourteen quantitative characters were studied across 20 soybean genotypes. The results of the analysis of variance showed that the genotype-related mean sum of square was significant for all the attributes. Biological yield per plant, number of pods per cluster, number of primary branches per plant, number of clusters per plant, number of pods per plant, days to 50% flowering, plant height, and days to maturity all were significantly and positively associated with seed yield per plant. In addition these traits also had significant and positive inter-correlation among themselves. Genotypic path analysis indicated that direct relationships between the number of pods per cluster, number of pods per plant, and the number of days to maturity will probably increase seed yield per plant.
How to cite this article:
Ashna Akbar, HP Chaturvedi. Correlation and path analysis for different traits in Soybean [Glycine max (L.) Merrill] genotypes favorable under foothill conditions of Nagaland. Pharma Innovation 2023;12(7):2435-2438.