Yield and Yield components of several Faba Bean (Vicia faba L.) Genotypes Analysed using Correlation and Path Coefficients

Author: Krishna Jat, Deepa H. Dwivedi, Dilkush Meena, Sarjesh Kumar Meena, Monika Bhanwariya and Tendul Chouhan

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Abstract

The underutilization of faba beans in India is a result of their low output and acreage. Despite its rich nutritional content, the present investigation aims were to quantify the relationship between yield and features associated with yield and to identify crucial qualities for indirect selection to increase faba bean grain yield. The results of the correlation analysis showed that there were highly significant (p<0.01) and. The results of the genotypic and phenotypic correlation showed that the number of branches (0.590**, 0.567**), pods (0.751**, 0.755**), seeds per pod (0.364**, 0.364**), seeds per plant (0.926**, 0.920**), and pod length (ml) (0.289*, 0.274*) all had a positive and significant correlation with the seed yield, indicating the possibility of simultaneously improving grain yield with these traits through selection. The number of seeds per plant (0.308) and the number of seeds per pod (0.574) were found to have phenotypic path coefficient study results. The high positive genotypic path coefficient direct effects on grain yield were exerted by the number of seeds per plant (0.724) and the number of seeds per pod (0.756), which had stronger positive direct impacts on grain production at both the phenotypic and genotypic levels. These traits may be used as indirect selection criteria to increase the yield of grains from faba beans.

Keywords

Faba bean, Correlation, Path coefficient, Phenotype, Genotype

Conclusion

The number of branches per plant, the number of pods per plant, the pod volume (ml), the number of seeds per pod, and the number of seeds per plant all demonstrated extremely significant (p< 0.01) and favourable phenotypic and genotypic correlations with grain yield. These findings suggested that these qualities may be selected for while simultaneously increasing grain output. Harvest index and biomass yield exhibited the strongest direct effects on yield at both the phenotypic and genotypic levels, according to a path coefficient analysis, highlighting the significance of these characteristics for the indirect selection of faba bean accessions to increase grain output. Because of this, while planning any plant breeding strategy using these 18 genotypes, attention should be placed on these attributes.

References

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How to cite this article

Krishna Jat, Deepa H. Dwivedi, Dilkush Meena, Sarjesh Kumar Meena, Monika Bhanwariya and Tendul Chouhan (2023). Yield and Yield components of several Faba Bean (Vicia faba L.) Genotypes Analysed using Correlation and Path Coefficients. Biological Forum – An International Journal, 15(10): 353-358.