Genetic Variability Character Association and Path Analysis Studies in Cowpea [Vigna unguiculata (L.) Walp.] Genotype
Year: 2024
Type: article
Abstract: The experimental material comprised of 20 Cowpea genotypes along with eleven quantitative characteristics. The experiment was conducted at Research Farm Genetics and Plant Breeding, AKS University, Satna, Madhya Pradesh during the kharif season of the year2023. Genotypes with eleven quantitative characteristics like days to first flowering, days to 50% flowering, number of pod cluster-1, number of pod plant-1, Plant height, length of pod, number of seeds pod-1, 100 seeds weight, biological yield plant-1, harvest index, seed yield plant-1. The data were analysed for genetic variability character association i.e. correlation and path analysis. The study revealed that phenotypic coefficient of variation was greater than the genotypic coefficient of variation, with the highest coefficient observed in the number of seeds pod-1. The environment coefficient of variance had the lowest values compared to GCV and PCV in harvest index, plant height, number of pod plant-1, seed yield plant-1 and biological yield plant-1. Characters with a higher number of pod cluster-1 had the least influence from environmental factors, indicating a dependency on phenotypic expression. Heritability values ranged moderately for various factors, suggesting that the genotypic ability of strains to transmit genes to their progenies is the most significant factor.
Authors: Yogesh Gawande, Navneet Raj Rathore, Ashish Sinha
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4408082969