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Vol. 12, Issue 6 (2023)

Trait association and path coefficient analysis in Indian mustard (Brassica juncea L. Czern and Coss)

Author(s):
Karan Sachdeva, PKP Meena, NR Koli, Harphool Meena and DL Yadav
Abstract:
The present experiment was conducted during Rabi 2022-23 with forty diverse genotypes of Indian mustard in Randomized Block Design with three replications for thirteen yield related attributes. The analysis of variance revealed highly significant differences among all the forty genotypes of Indian mustard for all the thirteen quantitative characters under study. Seed yield per plant exhibited highly significant and positive relationship with biological yield per plant, number of siliquae per plant, harvest index, 1000-seed weight, number of primary and secondary branches per plant and plant height at both genotypic and phenotypic levels, indicating that these traits are essential yield contributing components. Whereas, days to maturity, day to 50% flowering and oil content were found to be negatively correlated with seed yield per plant. Through the study of path coefficient analysis, it was uncovered that seed yield per plant was directly and highly positively influenced by biological yield per plant and harvest index. Moreover, plant height, number of siliquae per plant, 1000-seed weight and number of secondary branches per plant were also found to have a positive direct effect on seed yield per plant. Therefore, these traits have been identified as key attributes for enhancing seed yield in Indian mustard.
Pages: 2564-2568  |  187 Views  114 Downloads


The Pharma Innovation Journal
How to cite this article:
Karan Sachdeva, PKP Meena, NR Koli, Harphool Meena, DL Yadav. Trait association and path coefficient analysis in Indian mustard (Brassica juncea L. Czern and Coss). Pharma Innovation 2023;12(6):2564-2568.

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