Study of Genetic Variability and Path Analysis for Yield in Greengram (Vigna radiata L. Wilczek)

Abstract

The current study was conducted in order to estimate the genetic variability, Correlation and path analysis for yield and yield contributing traits assessed 31 genotypes of green gram during Zaid season 2023. The experiment followed a Randomized Block Design (RBD) with 3 replications. Data were collected from 5 randomly selected plants from each genotype in each replication, among 13 different traits seed index had highest genotypic and phenotypic coefficient of variance followed by number of pod per plant, while least GCV and PCV was recorded for days to maturity. High heritability was shown by plant height followed by number of seeds per pod. Seed index and harvest index had highly significant positive genotypic correlation with seed yields per plant. While days to maturity and days to 50% pod setting was recorded as highly significant negative genotypic correlation with seed yields per plant. Plant height followed by primary branches per plant, biological yield seed index and harvest index was recorded as positive direct effect on seed yield per plant at both genotypic and phenotypic levels while days to maturity followed by clusters per plant, pods per plant and pod length was recorded as negative direct effect on seed yield per plant at both genotypic and phenotypic levels. All the traits showed a strong and positive association with seed yield, proving that these traits actually correlate with one another. Therefore, identifying high yielding genotypes from highly segregating populations would be made easier with the use of direct selection for these traits.