Correlation and Path Coefficient Analysis for Yield and Its Related Traits in Buckwheat (Fagopyrum esculentum Moench)

Abstract

An experiment was carried out to study the correlation and path analysis in 40 buckwheat genotypes during Rabi, 2021-2022 at the Department of Genetics and Plant Breeding, SHIATS, Allahabad in Randomized BlºCk Design with three replications to analyze correlation and path Analysis. Analysis of variance showed significant difference for seed yield and its components indicating presence of large amount of variability in the genotypes. The magnitude of GCV and PCV recorded highest for economic yield, plant height, time of beginning of flowering, number of branches, test weight, days to 50% flowering. High heritability coupled with high genetic advance as percent mean was recorded for economic yield, plant height, time of beginning of flowering, test weight, number of branches, days to 50% flowering, days to 80% maturity. Seed yield per plant showed a highly significant positive correlation with test weight and days to 80% maturity at both the genotypic and phenotypic levels. Path analysis revealed that test weight and time of beginning of flowering registered high and positive direct effect on seed yield per plant. It suggests that there is a true relationship between these traits, and that direct selection for these traits will be beneficial for yield improvement.