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Appropriate selection indices for functional traits in dairy cattle breeding schemes

机译:Appropriate selection indices for functional traits in dairy cattle breeding schemes

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The objective of this study was to establish different single or multiple trait selection indices to calculate genetic and economic gains by combining some production, reproduction and udder health traits in a population similar to the overall practical situation in Iran, with and without imposing restrictions on genetic change for some traits. The SelAction software was used to perform the analyses based on selection index theory through a deterministic model. Results indicated that among established indices, the index that showed the highest genetic gain for milk yield did not maximize the total genetic and economic gains. Rather, the index that included all production, reproduction and udder health traits yielded the highest genetic and economic gains. When we placed restriction on the selection indices, the economic gain decreased and the amount of reduction depended on the heritability and the correlation of restricted trait(s) with other traits. Generally, regarding the economic genetic gain per generation, the indices based on records of 200 offspring were 4.819% more efficient than those that used information of 100 offspring.
机译:本研究的目的是通过将一些生产,繁殖和乳房健康特征相似,在伊朗的整体实际情况中结合,建立不同的单一或多个特征选择指数来计算遗传和经济增益,并在不施加对遗传遗传学的限制改变一些特征。通过确定性模型,使用Selaction软件基于选择索引理论进行分析。结果表明,在既定指数中,显示牛奶产量最高遗传增益的指数并未最大化遗传和经济增益。相反,包括所有生产,繁殖和乳房健康特征的指数产生了最高的遗传和经济增益。当我们对选择指数进行限制时,经济增益下降,减少量取决于穷困性和限制特征与其他特征的相关性。一般来说,关于每代经济遗传增益,基于200个后代记录的指数比使用100个后代信息的效率更高4.819%。

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