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Vol. 11, Special Issue 7 (2022)

Generation mean analysis for bacterial blight resistance and yield traits in rice

Author(s):
Manish Kumar, Suman Chahar, Ravi Pratap Singh, Onkar Nath Singh, Prakash Singh, Pandurang Arsode, Debarchana Jena, Sanghamitra Samantaray and Ramlakhan Verma
Abstract:
Profiling genetic architecture of quantitative traits like yield and contributing traits is essential for success of any breeding Programme. Genetic components of variation are key factors determines fate of any crop improvement program. Assessment of genetic component of variation is imperative in maximizing genetic gain with precision. This study revealed the existence of highest number of genes for increasing breeding value, additive (d) effect and dominant × dominant (l) gene interaction were the only significant portion of gene controlling grain yield per plant of the rice and spikelet fertility of plants. The additive and dominance gene effects were found important in controlling bacterial leaf blight disease reaction. The plus sign in the additive gene effect implies that HUR 917 contributes positively to the trait as compared to IRBB66 and vice versa.
Pages: 3123-3127  |  310 Views  178 Downloads
How to cite this article:
Manish Kumar, Suman Chahar, Ravi Pratap Singh, Onkar Nath Singh, Prakash Singh, Pandurang Arsode, Debarchana Jena, Sanghamitra Samantaray and Ramlakhan Verma. Generation mean analysis for bacterial blight resistance and yield traits in rice. The Pharma Innovation Journal. 2022; 11(7S): 3123-3127.

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