Correlation and path analysis for yield and yield contributing traits in blackgram (Vigna mungo (L.) Hepper)

  • Unique Paper ID: 183886
  • PageNo: 3347-3352
  • Abstract:
  • The present research aims to determine variability, heritability, genetic advance. Correlation, path analysis in eight genotypes of blackgram. At the School of Agricultural Sciences G H Raisoni University, Saikheda, the experiment was implemented using a randomized block design with three replications during kharif season (2024). Observation was recorded for nine different traits, which included days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of pods per plant, number of seeds per pod, pod length (cm), 100 seed weight (g), seed yield per plant (g).Correlation analysis among the yield and its contributing characters revealed that the genotypic correlation coefficients in most of the cases were higher than their phenotypic correlation coefficients indicating the association was largely due to genetic reasons. Seed yield per plant had a highly significant and positive correlation with the number of primary branches per plant, number of pods per plant,100-seeds weight and plant height at both genotypic and phenotypic levels indicating that these attributes were more influencing the seed yield and therefore these were important characters for bringing genetic improvement of seed yield. The genotypic path coefficient analysis revealed that plant height, number of primary branches per plant, number of pods per plant, 100-seeds weight and number of seeds per pod expressed positive and higher direct effect on seed yield per plant. The residual effect was found to be 0.0953 at genotypic path coefficient analysis. The phenotypic path coefficient analysis revealed that plant height, number of primary branches per plant, number of pods per plant, 100-seeds weight and number of seeds per pod exhibited high and positive direct effects on seed yield per plant. Whereas, negative direct effect on seed yield per plant were contributed through days to maturity and plant height at phenotypic level. The residual effect was found to be 0.0225 at phenotypic path coefficient analysis.

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Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{183886,
        author = {Vruttika Gurpude},
        title = {Correlation and path analysis for yield and yield contributing traits in blackgram (Vigna mungo (L.) Hepper)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3347-3352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183886},
        abstract = {The present research aims to determine variability, heritability, genetic advance. Correlation, path analysis in eight genotypes of blackgram. At the School of Agricultural Sciences G H Raisoni University, Saikheda, the experiment was implemented using a randomized block design with three replications during kharif season (2024). Observation was recorded for nine different traits, which included days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of pods per plant, number of seeds per pod, pod length (cm), 100 seed weight (g), seed yield per plant (g).Correlation analysis among the yield and its contributing characters revealed that the genotypic correlation coefficients in most of the cases were higher than their phenotypic correlation coefficients indicating the association was largely due to genetic reasons. Seed yield per plant had a highly significant and positive correlation with the number of primary branches per plant, number of pods per plant,100-seeds weight and plant height at both genotypic and phenotypic levels indicating that these attributes were more influencing the seed yield and therefore these were important characters for bringing genetic improvement of seed yield. The genotypic path coefficient analysis revealed that plant height, number of primary branches per plant, number of pods per plant, 100-seeds weight and number of seeds per pod expressed positive and higher direct effect on seed yield per plant. The residual effect was found to be 0.0953 at genotypic path coefficient analysis. The phenotypic path coefficient analysis revealed that plant height, number of primary branches per plant, number of pods per plant, 100-seeds weight and number of seeds per pod exhibited high and positive direct effects on seed yield per plant. Whereas, negative direct effect on seed yield per plant were contributed through days to maturity and plant height at phenotypic level. The residual effect was found to be 0.0225 at phenotypic path coefficient analysis.},
        keywords = {Blackgram, Correlation analysis, path analysis, seed yield},
        month = {August},
        }

Cite This Article

Gurpude, V. (2025). Correlation and path analysis for yield and yield contributing traits in blackgram (Vigna mungo (L.) Hepper). International Journal of Innovative Research in Technology (IJIRT), 12(3), 3347–3352.

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