Assessment of Genetic Variability, Correlation, and Path Coefficient for Yield and Its Contributing Traits in Pigeon Pea [Cajanus cajan (L.) Millspaugh]

Abstract

The experimental material consisted of 155 pigeon pea genotypes sown in a Randomized Block Design (RBD) with three replications during the Kharif, 2023-2024 crop season at the N. E. B. Crop Research Centre of G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. The genetic variance components, correlation, and path coefficient for seed yield and its components were estimated using these 155 pigeon pea genotypes. The highest phenotypic coefficient of variation (PCV) values (> 20%) were recorded for traits such as the number of pods per plant (26.45%), number of secondary branches per plant (22.72%), and seed yield per plant (20.27%). In contrast, the lowest PCV estimates (< 10%) were found for days to maturity (7.39%) and days to 50% flowering (6.73%). High estimates of the genotypic coefficient of variation (GCV) (> 20%) were recorded only for the number of pods per plant (23.6%). The lowest GCV estimates (< 10%) were observed for hundred seed weight (9.63%), number of seeds per pod (9.55%), plant height (9.49%), pod length (7.18%), days to maturity (6.85%), and days to 50% flowering (6.5%). The hundred seed weight showed a high positive direct effect on seed yield per plant (Genotypic = 0.58, Phenotypic = 0.47) along with a positive and significant correlation (Genotypic correlation coefficient, (rg = 0.599); Phenotypic correlation coefficient, (rp = 0.485)). Based on this investigation, it is evident that exploring genetic variability, correlations, and path analyses provides a more effective approach for selecting superior cultivars for yield and related traits.