Decoding yield determinants: Path analysis in soybean [Glycine max (L.) Merr.] Germplasm

Abstract

An experiment entitled “Decoding Yield Determinants: Path Analysis in Soybean [Glycine max (L.) Merr.] Germplasm” was carried out during Kharif 2023-24 at the experimental farm of the College of Agriculture, Badnapur. Vasantrao Naik Marathwada Krishi Vidyapeeth Parbhani (M.S). The experiment was laid out in a Randomized Block Design (RBD) with 38 genotypes and two replications to estimate the path analysis for yield-contributing characters in the germplasm of soybean. Among all the characters, the highest positive direct effects were observed for the number of pods per plant, 100-seed weight, number of seeds per pod, and harvest index at both levels. This revealed the true relationship of these characters with grain yield per plant. Hence, direct selection for these traits could be rewarding for the improvement of grain yield.