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Research Article Open access CC BY 4.0

Spectrum of Genetics Variations, Association, Path Coefficient Analysis in Green Gram (Vigna radiata L. wilzeck)

Mallela Harsha Vardhan, Raval Kalpesh, I. R. Delvadiya, A. V. Ginoya, Annavarapu Kiran Kumar

International Journal of Environment and Climate Change · pp. 760–772 · Published 28 Mar 2024

10.9734/ijecc/2024/v14i34084

Abstract

The high protein content and ability of Vigna radiata L. Wilczek, sometimes known as the mung bean, to fix nitrogen in the soil make it a highly significant pulse crop. The most challenging feature, seed yield is greatly influenced by the environment and other factors. This interpretation states that the study's goal was to evaluate the relationships between 22 distinct genotypes of mung beans in terms of yield and yield-attributing traits. Research on variations in genetics identified that there was a fair level of diversity among the 22 genotypes. Secondary branches had the highest PCV and GCV, followed by grain yield. The characters, 50% flowering, days to reproductive phase, days to maturity, plant height (cm), pods per plant, length of the pod, seeds per pod, primary branches, secondary branches, clusters per plant, grain yield (g), 100 seed weight (g) had shown high heritability combined with genetic advance as percent mean. Pod length, cluster per plant, primary branches, seeds per pod, and 100 seed weight pod length were shown as a highly significant and positive correlation. cluster per plant, plant height, seeds per pod, and reproductive phase explained the highest positive direct effect on seed yield, as shown by the analysis of path coefficients. Therefore, to increase the seed yield of green gram, these traits 50% flowering, days to reproductive phase, days to maturity, plant height (cm), pods per plant, length of the pod, seeds per pod, primary branches, secondary branches, clusters per plant, grain yield (g), 100 seed weight (g) must be focused on in developing a breeding strategy.

Genetic variability heritability GCV PCV correlation path analysis

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