Vol. 12, Issue 12 (2023)

Author(s):
VV Thorat, SU Borale, VY Pawar, MB Goykar and SR Kanade

Abstract:
The experiment "Correlation and Path analysis in Soybean [Glycine max (L). Merrill] "was carried out at the Post Graduate Research Farm, Botany Section, College of Agriculture, Dhule (Maharashtra) in the Kharif season of 2022. Total 42 different soybean genotypes were selected for this study. Ten distinct biometric characteristics were taken into account for this investigation of yield and its influencing factors. Analysis of variance proves that characteristics were shown to be statistically significant. The degree of association between significant plant traits is shown by correlation analysis. which also serves as a reliable indicator for forecasting how the yield will respond to changes in a given characteristic. From the experiment it can be stated that the characters like number of pods per plant, number of seeds per plant and 100 seed weight showed strong positive correlation with seed yield per plant and has also showed strong positive direct effect on seed yield. It indicates that direct selection based on this trait would help in identifying high yielding genotypes. Future crop development programs might benefit from selecting AMS19-01, RSC-11-42, AS-24, SL-1282, KDS -753, JS-9305, JS 20-34, and SL-1230.