Character Association and Path Analysis for Seed Yield and Yield-Contributing Traitsin Soybean (Glycine max (L.) Merrill)

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CHETNA YADAV; Dr. Kevin Gawali; Dr. Deepak Sapkal; Dr. Mukesh Rathod

Character Association and Path Analysis for Seed Yield and Yield-Contributing Traitsin Soybean (Glycine max (L.) Merrill)

Authors: CHETNA YADAV, Dr. Kevin Gawali, Dr. Deepak Sapkal, Dr. Mukesh Rathod

Unique Paper ID: 183845
Volume: 12
Issue: 3
PageNo: 3045-3050

Keywords: Soybean (Glycine max) character association correlation analysis path coefficient seed yield yield-attributing traits genetic improvement.

Abstract:
The present investigation entitled “Character Association and Path Analysis for Seed Yield and Yield-Contributing Characters in Soybean (Glycine max (L.) Merrill)” was conducted to evaluate correlation and path coefficient analysis in eight soybean genotypes. The experiment was laid out in a Randomized Block Design with three replications during Kharif 2024 at the School of Agricultural Sciences, G. H. Raisoni University, Saikheda. Observations were recorded for nine traits: days to 50% flowering, days to maturity, plant height, number of primary branches per plant, pod length, number of pods per plant, number of seeds per pod, 100-seed weight, and seed yield per plant. Correlation analysis revealed that genotypic correlations were generally higher than phenotypic ones, indicating a genetic basis for the observed associations. Seed yield per plant showed significant positive correlations with number of primary branches, pods per plant, seeds per pod, 100-seed weight, and pod length. Path coefficient analysis indicated that number of pods per plant, 100-seed weight, and number of seeds per pod exerted strong positive direct effects on seed yield, whereas plant height had a negative effect at the phenotypic level. The low residual effects (0.0182 at genotypic and 0.0369 at phenotypic levels) suggested that most of the variation in seed yield was explained by the studied traits. Overall, the study highlights that additive gene action predominated in traits such as number of branches, pods per plant, 100-seed weight, and seed yield, which can serve as reliable selection indices for soybean improvement.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 3
PageNo: 3045-3050

Character Association and Path Analysis for Seed Yield and Yield-Contributing Traitsin Soybean (Glycine max (L.) Merrill)

Available:https://ijirt.org/article?manuscript=183845

20 Aug, 2025

Spectrum of Genetic Variability for Seed Yield and Yield-Contributing Traits in Soybean (Glycine max (L.) Merrill)

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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