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Vol. 9, Issue 7 (2020)

Generation mean analysis using five parameters genetic model for quantitative traits in black gram (Vigna mungo L. Hepper)

Author(s):
Kaushik Kumar Panigrahi, Ayesha Mohanty, Puranjaya Panigrahi, Purandar Mandal, Rojalin Pradhan and Bhabendra Baisakh
Abstract:
Generation mean analysis was employed in a cross between B-3-8-8 x Keonjhar Local of black gram to partition the mean into various components viz., additive, dominance and epistasis. Five generations viz., P1, P2, F1, F2 and F3 of this cross were evaluated. The scaling tests were applied to the data to detect the presence or absence of non-allelic interactions. The results of the scaling test showed significant values of C & D scales for majority of traits under study. In several traits the additive gene effects were negative and significant additive gene effects were found for days to 50% flowering, days to maturity, plant height, number of clusters/plant, number of seeds/pod and yield/plant. Similarly, dominant gene effects were negative for days to 50% flowering, plant height, number of primary branches/plant, number of pods/plant. Significant positive dominant gene effects were found for pod length and yield/plant. Epistasis was present in all of the characters under study. Additive × additive gene effects were found for plant heights, number of primary branches /plant, number of clusters/plant and number of seeds/pod. Significant dominance × dominance gene interaction were found for days to maturity, number of primary branches/plant and number of clusters/plant.
Pages: 368-371  |  444 Views  158 Downloads


The Pharma Innovation Journal
How to cite this article:
Kaushik Kumar Panigrahi, Ayesha Mohanty, Puranjaya Panigrahi, Purandar Mandal, Rojalin Pradhan, Bhabendra Baisakh. Generation mean analysis using five parameters genetic model for quantitative traits in black gram (Vigna mungo L. Hepper). Pharma Innovation 2020;9(7):368-371.

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