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Research Article Open access CC BY 4.0

Study of Genetic Variability and Path Analysis for Yield Attributing Traits in Linseed (Linum usitatissimum L.)

Shruti Paliwal, Manoj Kumar Tripathi, R. S. Sikarwar, Sanjeev Sharma

International Journal of Plant & Soil Science · pp. 20–29 · Published 29 May 2024

10.9734/ijpss/2024/v36i74704

Abstract

This study was conducted to assess genetic variability, interrelationship among yield attributing traits and their direct and indirect effect on yield. Ninety-two genotypes including four checks was taken in the study and were planted during two seasons i.e., Rabi 2022-23 and Rabi 2023-24 at Research Farm, Department of Genetics & Plant Breeding, College of Agriculture, RVSKVV, Gwalior. These genotypes were evaluated for analysis of genetic variability, phenotypic and genotypic coefficient of variation, correlation and path analysis for seed yield and its related traits. Higher estimates of GCV and PCV were observed for traits like seed yield per plant, harvest index, thousand seed weight, numbers of seeds per capsule, numbers of capsules per plant, numbers of secondary and primary branches. Highly significant and positive correlation with seed yield was documented for numbers of capsules per plant (0.82), numbers of secondary branches per plant (0.64) and thousand seed weight (0.31). Path coefficient analysis revealed that numbers of capsules per plant was the major contributor to the seed yield (0.7950) followed by harvest index (0.1762) and biological yield (0.1211).

Augmented design correlation genetic advance heritability path coefficient

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