Vol. 12, Issue 11 (2023)

Author(s):
Bhumika Singh Lodhi, Sunil Holkar, Arzoo Dhakad, Amit Jha, Monika Chouhan and Pramod Kumar

Abstract:
This study investigates the direct and indirect determinants of soybean yield, utilizing path coefficient analysis to unravel the complex relationships between yield-contributing traits. Soybean, as a vital global crop, presents significant challenges in yield maximization, necessitating an advanced understanding of the genetic and phenotypic factors at play. Our research identified strong positive correlations between grain yield per hectare and several morpho-physiological traits, with days to 50 percent podding, pod weight per plant, and biological yield having the most pronounced direct positive effects on yield. Conversely, traits such as days to pod initiation, number of pods per plant, and number of primary branches exhibited positive correlations but negative direct effects, suggesting their yield contributions are mediated through indirect effects. The findings underscore the importance of considering these intricate dynamics in breeding strategies to enhance soybean production. This paper contributes to the existing literature by providing a refined perspective on trait selection, supported by both our data and corroborations from previous studies. The insights gained from this study offer valuable implications for breeding programs, aiming to optimize yield through targeted selection and management of key soybean traits.