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(2017). Detection of Major Genes for Body Weight Traits at Birth and Six Weeks of Age in a Commercial Broiler Line using Bayesian Segregation Method. rap. 8(15), 171-176. doi:10.29252/rap.8.15.171
URL: http://rap.sanru.ac.ir/article-1-769-en.html
Detection of Major Genes for Body Weight Traits at Birth and Six Weeks of Age in a Commercial Broiler Line using Bayesian Segregation Method
Abstract:   (3264 Views)

At the present study in order to detect major genes in a commercial broiler line Bayesian method as the most powerful statistical method in detection of major genes was used. After preliminary data editing, data of body weight (BW) at birth and six weeks of age of 14 and 35 generations respectively were analyzed using iBay software. The results verified segregation of major gene for two economical traits investigated at the current study. Compared to the effect of major genes, the polygenic effect on BW at birth which is highly biased by maternal genetic factors was proved to be stronger. However, our results confirmed that the role of major genes in determining BW at six weeks of age was more impactful than that of polygenic part, which highlights the importance of direct genetic effect on the trait. In this study, results of Bayesian segregation analysis confirm the segregation of major genes for the two traits, BW at birth and six weeks of age, which potentially paves the way for future studies to detect major genes.

Keywords: Bayesian segregation analysis, Commercial broiler line, Major gene
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Type of Study: Research | Subject: Special
Received: 2017/06/17 | Revised: 2017/08/27 | Accepted: 2017/06/17 | Published: 2017/06/17
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