Association and Path Analysis of Yield and Its Component Traits for Yield Maximization in Green Gram: A Recent Study

Singh, Pushpendra and Singh, Surendra and Bhargava, M. K. (2022) Association and Path Analysis of Yield and Its Component Traits for Yield Maximization in Green Gram: A Recent Study. In: Current Topics in Agricultural Sciences Vol. 8. B P International, pp. 147-155. ISBN 978-93-5547-611-1

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Abstract

An investigation was undertaken to estimate the correlation coefficients among thirteen quantitative traits and to study the direct and indirect effects of various yield contributing traits on grain yield in ten genetically diverse genotypes of green gram (Vigna radiata L.) and their 24 F2 (segregating) populations. The outcomes of the association research indicate that grain yield per plant showed highly significant and positive correlation, at both genotypic and phenotypic levels, with number of days to flowering, number of pods per cluster, number of clusters per plant, number of pods per plant and biological yield per plant (g) indicating possibility of simultaneous improvement for these traits. At both genotypic and phenotypic levels, however, yield per plant for parents revealed a substantial negative connection with primary branches per plant and harvest index. At both the genotypic and phenotypic levels, the harvest index demonstrated a negative relationship with the majority of the attributes. Biological yield per plant, harvest index, and seeds per pod all had a high direct effect in the desired direction, according to path analysis. To increase seed yield per plant, biological yield per plant, harvest index, seeds per pod, and clusters per plant can be enhanced, and hybridization followed by direct and indirect selection for these traits can be used to develop high yielding cultivars.

Item Type: Book Section
Subjects: Institute Archives > Agricultural and Food Science
Depositing User: Managing Editor
Date Deposited: 11 Oct 2023 03:52
Last Modified: 11 Oct 2023 03:52
URI: http://eprint.subtopublish.com/id/eprint/3073

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