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Vol. 12, Issue 11 (2023)

Correlation and path coefficient analysis for yield and its contributing traits in Greengram [Vigna radiata (L.) Wilczek]

Author(s):
Lakshya Godara, Amit Dadheech, Hemlata Sharma, Devendra Jain and Ramesh Babu
Abstract:
Current investigation comprised of 40 genotypes, including 2 check varieties, grown at the Instructional Farm of Rajasthan College of Agriculture, Udaipur, using a randomized block design with three replications during the Kharif season of 2022. Significant variability among genotypes for various traits was observed, as evidenced by statistically significant mean sum of squares attributed to genotypes. Seed yield per plant exhibited substantial genetic gain as a percentage of the mean, indicating its potential for improvement. Traits with high heritability and substantial genetic gain, such as seed yield per plant and number of pods per plant, are primarily governed by additive gene action. Genotypic correlation coefficients were higher than phenotypic correlations, and significant correlations were observed between seed yield per plant and the number of pods per plant, biological yield per plant, harvest index, 100-seed weight, and number of seeds per pod. Path analysis highlighted the significant positive direct effect of harvest index on seed yield per plant followed by biological yield per plant. Discriminate function analysis showed that among all the traits under study showed the greatest genetic gain and relative efficiency. This outcome strongly suggests that substantial emphasis should be placed on these particular traits during the process of selecting high-yielding genotypes in greengram breeding endeavors. Genotypes G28, G36, G35, G27, and G26 exhibited excellence in yield and key yield-contributing traits, suggesting their potential for future breeding programs.
Pages: 596-599  |  120 Views  56 Downloads


The Pharma Innovation Journal
How to cite this article:
Lakshya Godara, Amit Dadheech, Hemlata Sharma, Devendra Jain, Ramesh Babu. Correlation and path coefficient analysis for yield and its contributing traits in Greengram [Vigna radiata (L.) Wilczek]. Pharma Innovation 2023;12(11):596-599.

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