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Multiple-trait multiple-country genetic evaluation of Holstein bulls for female fertility and milk production traits

机译:荷斯坦公牛多胎性状的多性状遗传育种评估

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The aim of this study was to investigate the effect of including milk yield data in the international genetic evaluation of female fertility traits to reduce or eliminate a possible bias because of across-country selection for milk yield. Data included two female fertility traits from Great Britain, Italy and the Netherlands, together with milk yield data from the same countries and from the United States, because the genetic trends in other countries may be influenced by selection decisions on bullsin the United States. Potentially, female fertility data had been corrected nationally for within-country selection and management biases for milk yield. Using a multiple-trait multiple across-country evaluation (MT-MACE) for the analysis of female fertility traits with milk yield, across-country selection patterns both for female fertility and milk yield can be considered simultaneously. Four analyses were performed; one single-trait multiple across-country evaluation analysis including only milk yield data, one MT-MACE analysis including only female fertility traits, and one MT-MACE analysis including both female fertility and milk yield traits. An additional MT-MACE analysis was performed including both female fertility and milk yield traits, but excluding the United States. By including milk yield traits to the analysis, female fertility reliabilities increased, but not for all bulls in all the countries by trait combinations. The presence of milk yield traits in the analysis did not considerablychange the genetic correlations, genetic trends or bull rankings of female fertility traits. Even though the predicted genetic merits of female fertility traits hardly changed by including milk yield traits to the analysis, the change was not equally distributed to the whole data. The number of bulls in common between the two sets of Top 100 bulls for each trait in the two analyses of female fertility traits, with and without the four milk yield traits and their rank correlations were low, not necessarily because of the absence of the US milk yield data. The joint international genetic evaluation of female fertility traits with milk yield is recommended to make use of information on several female fertility traits from different countries simultaneously, to consider selection decisions for milk yield in the genetic evaluation of female fertility traits for obtaining more accurate estimating breeding values (EBV) and to acquire female fertility EBV for bulls evaluated for milk yield, but not for female fertility.
机译:这项研究的目的是调查在国际生育力女性遗传育种遗传评价中纳入牛奶产量数据,以减少或消除由于跨国选择牛奶产量而可能产生的偏差的影响。数据包括来自英国,意大利和荷兰的两个女性生育特征,以及来自相同国家和美国的牛奶产量数据,因为其他国家的遗传趋势可能受到美国公牛选择决定的影响。潜在地,全国范围内的女性生育率数据已针对国家内部选择和牛奶产量的管理偏差进行了校正。使用多特征多重跨国评价(MT-MACE)分析具有牛奶产量的女性生育力特征,可以同时考虑女性生育力和牛奶产量的跨国选择模式。进行了四项分析;一项仅包括产奶量数据的单性状多国评估分析,一项仅包含女性生育力性状的MT-MACE分析,以及一项包含女性生育力和产奶率性状的MT-MACE分析。进行了另外的MT-MACE分析,包括女性生育力和产奶量特征,但不包括美国。通过将牛奶产量性状纳入分析,女性生育率的可靠性提高了,但并非所有国家的所有公牛都通过性状组合获得了提高。分析中牛奶产量性状的存在并未显着改变女性生育性状的遗传相关性,遗传趋势或公牛等级。尽管通过将产奶量性状纳入分析几乎不改变女性生育性状的预期遗传优势,但这种变化并没有平均分配给整个数据。在两项女性生育力特征分析中,每项性状在两组前100名公牛之间共有的公牛数,有和没有这四种产奶量特征,并且它们的等级相关性很低,这不一定是因为缺少美国牛奶产量数据。建议对女性生殖力性状与产奶量进行国际联合遗传学评估,以便同时利用来自不同国家的几种女性生殖力性状的信息,在女性生殖力性状的遗传学评估中考虑乳汁产量的选择决策,以获得更准确的育种估算值(EBV)并获得公牛的EBV,但公牛的产奶量经过评估,但未评估母猪的生育力。

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