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Vol. 11, Issue 7 (2022)

Analysis of genetic variability, character association and path analysis in sesame (Sesamum indicum L.)

Author(s):
UK Singh, Neeraj Kumar, RK Mandal, Manoj Kumar and Rajesh Kumar
Abstract:
An experiment was conducted with twenty one genotypes to study the variability, character association and path analysis in sesame (Sesamum indicum L.). Genotypes varied significantly for all the morpho-physiological characters. The mean values shifted bidirectionaly significantly as compared to better check, thus provide scope of selection. A close proximity between PCV and GCV indicated strong base of genetic component in expression of all the characters under study. High heritability coupled with high genetic advance for characters plant height, productive capsules per plant 1000 seed weight, harvest index and seed yield per plant suggested the preponderance of additive gene effect in expression of these characters, seed yield per plant had positive association with harvest index, productive capsules per plant, number of seeds per capsules, number of branches per plant, productive branches per plant, biological yield and 1000 seed weight at genotypic and phenotypic level. Path coefficient analysis indicated maximum direct effect of number of branches per plant, biological yield and harvest index on seed yield indicating the importance of these traits in determining seed yield.
Pages: 2215-2221  |  363 Views  234 Downloads


The Pharma Innovation Journal
How to cite this article:
UK Singh, Neeraj Kumar, RK Mandal, Manoj Kumar, Rajesh Kumar. Analysis of genetic variability, character association and path analysis in sesame (Sesamum indicum L.). Pharma Innovation 2022;11(7):2215-2221.

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