International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 5, Part I

Assessment of gene action for yield and its contributing traits in Pea (Pisum sativum L.)


Author(s): Khursheed Alam, Manoj Kumar Singh, Atar Singh, Muzeev Ahmad, Mohd Wamiq, Amit Kumar and Manish Kumar

Abstract:
The present experiment was carried out to assess gene action in fifty-four genotypes comprising fourteen parents and their forty crosses. Analysis of variance exhibited significant differences among the genotypes for all the traits under studied. The data was collected for various morphological characters associated with yield and its contributing traits. Estimates of additive variance (δ2A) were lower than dominant variance (δ2D) for different attributes except viz., TSS Brix %, green pods per plant, branches per plant, pod length, pod weight and pod diameter indicating that the presence of additive gene action. The dominance variance (δ2D) was higher than additive variance (δ2A) for characters except viz., days to first flowering, days to 50% flowering, days to first green pod picking, pod yield per plant, plant height and number of seeds per pod was indicated as non-additive gene action.


Pages: 595-598 | Views: 183 | Downloads: 3

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Khursheed Alam, Manoj Kumar Singh, Atar Singh, Muzeev Ahmad, Mohd Wamiq, Amit Kumar, Manish Kumar. Assessment of gene action for yield and its contributing traits in Pea (Pisum sativum L.). Int J Stat Appl Math 2023;8(5S):595-598.

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