Vol. 9, Special Issue 2, Part C (2025)
Path analysis and correlation studies for yield-contributing traits in mungbean (Vigna radiata L.) under salinity condition
Hitesh Kumar Yadav, SC Vimal, Arun Pratap, VK Chourasiya, Ankita Kumari and Dharmendra Kumar and Ashok Kumar
This study evaluates the genetic variability, heritability, and correlation among 33 mungbean (Vigna radiata L.) genotypes, including three check varieties: NDM-1, NDM-95-3, and NDM-95-5. Conducted during the kharif season of 2021-2022 at Acharya Narendra Deva University of Agriculture and Technology, this experiment was in a randomized block design and replicated three times. Fourteen quantitative characters were analysed, including Days to 50% Flowering (DFF), Days to Maturity (DM), Plant Height (PH), Number of Primary Branches per Plant (PBPP), Number of Secondary Branches per Plant (SBPP), Number of Pods per Plant (PPP), Number of Seeds per Pod (SPP), 100-Seed Weight (100-SW), Seed Germination Percentage (SG%), Speed of Germination (SoG), Seedling Length (SL), Seed Viability (SV), Vigour Index-I (VI), and Seed Yield per Plant (SYPP). Variance analysis revealed significant differences among all characters, indicating broad genetic variation. The phenotypic coefficient of variation (PCV) exceeded the genotypic coefficient of variation (GCV) for all traits. High broad-sense heritability and genetic advance estimates were observed for traits like SoG, PPP, and SBPP. Significant positive correlations of SYPP with DFF, DM, 100-SW, PPP, SBPP, and PBPP suggest these traits are crucial for improving yield. Path coefficient analysis identified PBPP and 100-SW as having the most substantial positive direct effects on yield, while SL exhibited the highest negative direct effect. These findings underscore the importance of selecting traits with positive correlations for future mungbean breeding programs to enhance yield.
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