Elucidating Genetic Variability and Association Among Yield and Fibre Quality Traits in American Cotton (Gossypium hirsutum L.)

Author: Sandeep Kumar, Minakshi Jattan, Omender Sangwan, Somveer Nimbal, Karmal Singh Malik, Deepak Kumar, Suman Devi and Amit Sharma

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Abstract

The present investigation was carried out to access genetic variability, heritability, genetic advancement and associations among yield and quality traits in 33 genotypes of upland cotton (Gossypium hirsutum L.) during Kharif 2020-21. Results unveiled considerable variation among genotypes for all the examined traits. The phenotypic coefficient of variance (PCV) slightly surpassed the genotypic coefficient of variance (GCV), implying a minimal environmental influence on trait expression. Notably, seed cotton yield exhibited a high level of GCV (24.40), PCV (26.41), high heritability (85.36), and substantial genetic advance (46.44). Whereas, number of bolls and boll weight exhibited high heritability along with moderate genetic advance indicating a contribution of both additive and non-additive gene actions to controlling these traits. Likewise, in case of quality traits, fibre length and fibre strength demonstrated high heritability (50.99 and 78.92, respectively) with low genetic advance (3.88 and 8.19), indicating their genetic control with limited scope for improvement. Furthermore, association studies revealed a highly positive significant correlation of seed cotton yield with lint yield (0.98), number of bolls (0.63), number of sympods (0.49), boll weight (0.42), number of monopods (0.38), ginning outturn (0.28) and plant height (0.25). Therefore, these attributes can be considered suitable selection criteria for increasing the yield of seed cotton

Keywords

Cotton, correlation, GCV, heritability PCV, variability, yield

Conclusion

Research into correlation and path coefficients assists in trait selection, determining the direction of selection, and expediting the breeding process by offering breeders a deeper comprehension of trait relationships. Studies focus on correlation and path coefficients assists in trait selection, determining the direction of selection and expediting the breeding process by offering breeders a deeper comprehension of trait relationships

References

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How to cite this article

Sandeep Kumar, Minakshi Jattan, Omender Sangwan, Somveer Nimbal, Karmal Singh Malik, Deepak Kumar, Suman Devi and Amit Sharma (2024). Elucidating Genetic Variability and Association Among Yield and Fibre Quality Traits in American Cotton (Gossypium hirsutum L.). Biological Forum – An International Journal, 16(4): 143-147.