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Vol. 11, Issue 7 (2022)

Gene effect estimation in elite rice (Oryza sativa L.) crosses using generation mean analysis

Author(s):
Jyoti P Jirankali, CA Deepak and MP Rajanna
Abstract:
At the Zonal Agricultural Research Station in Mandya, an experiment was conducted to investigate the gene action governing yield and its attributing traits for two crosses using three different rice genotypes. To explore the generation mean analysis for yield and yield attributing features, the experimental material comprised of six generations (P1, P2, F1, F2, BC1 and BC2) obtained from two crossings employing three parents. The presence of epistasis in the expression of grain yield and its components was revealed by the Generation mean analysis. The presence of significant additive effects in the crosses KMP149 x IC2 and KMP149 x IC10, demonstrated that direct selection for yield improvement was beneficial. Given the great variability of the interaction components, a cross and trait specific breeding strategy, such as direct selection and generation of pure lines, is recommended for yield improvement.
Pages: 1815-1819  |  279 Views  133 Downloads


The Pharma Innovation Journal
How to cite this article:
Jyoti P Jirankali, CA Deepak, MP Rajanna. Gene effect estimation in elite rice (Oryza sativa L.) crosses using generation mean analysis. Pharma Innovation 2022;11(7):1815-1819.

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