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

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.