Association Studies for Yield and Component Traits among Nine Bread Wheat (Triticum aestivum L.) Genotypes and their Crosses

Author: Deepak Kumar*, I.S. Panwar, Vikram Singh, Shikha Yashveer, Ganesh Kumar Koli and Kiran

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Abstract

In order to understand the association and contribution of 13 traits towards grain yield, the correlations and path coefficients were analysed among nine different wheat genotypes and their 36 crosses. The field experiment was conducted in the research farm region of Chaudhary Charan Singh Haryana Agricultural University, Hisar in a randomise block design with three replications. Except for days to heading and days to maturity, grain yield per plant showed a positive and significant correlation with all of the studied traits. The interdependence among these characters revealed that these are controlled by a few common genes, which can be ultimately used as selection criteria in breeding programmes. Positive selection for one characteristic would improve linked traits as well. The path coefficient study found that the degree of the positive direct effect on grain yield was largest through number of grains per spike (0.631), 100 grain weight (0.714), biological yield per plant (0.63), an

Keywords

Wheat, Correlation, traits, improvement and yield

Conclusion

In present study, association analysis revealed that the characters viz, number of productive tillers per plant, number of grains per plant, 100 grain weight, biological yield per plant, and harvest index showed positive and significant relationship with grain yield at the genotypic as well as phenotypic level. While path coefficient analysis revealed that same traits exhibited highest positive direct effect on grain yield and each must be given preference in selection along with optimum plant height and spike length while selecting the superior genotypes. Hence these characters can be directly selected for the yield improvement in bread wheat. Thus, selection of genotypes based on the associated character will be useful in development of elite breeding lines.

References

INTRODUCTION Wheat (Triticum aestivum L.) is one of the important food crops in most parts of the globe, and it ranks second after rice in Indian agriculture. Knowledge of the number, nature, and contribution of gene effects to control characteristics is critical for developing an effective wheat breeding programme. Selection for grain yield and their enhancement can only be effective if there is enough genetic variability in the breeding materials (Ali et al., 2008). To boost total yield, our goal must be to maximise the effects of the components that have a positive effect while reducing the effects of the components that have a negative effect. Correlation analysis can be a effective approach for determining the interdependencies among yield and it’s component traits. Genetic variability and correlation analysis help us in the identification of genetic association between various plant traits and their association with the overall productivity levels (Haydar et al., 2020). The co

How to cite this article

How to cite this article: Deepak Kumar, I.S. Panwar, Vikram Singh, Shikha Yashveer, Ganesh Kumar Koli and Kiran (2022). Association Studies for Yield and Component Traits Among Nine Bread Wheat (Triticum aestivum L.) Genotypes and their Crosses. Biologica