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绵羊人工授精后雄性和雌性生育力的遗传分析:单性状模型与联合模型的比较

Genetic analysis of male and female fertility after artificial insemination in sheep: comparison of single-trait and joint models.

作者信息

David I, Bodin L, Lagriffoul G, Leymarie C, Manfredi E, Robert-Granié C

机构信息

Station d'Amélioration Génétique des Animaux, Institut National de la Recherche Agronomique, BP 52627, 31326 Castanet-Tolosan Cedex, France.

出版信息

J Dairy Sci. 2007 Aug;90(8):3917-23. doi: 10.3168/jds.2006-764.

DOI:10.3168/jds.2006-764
PMID:17639003
Abstract

The outcome of an insemination depends on male and female fertility. Nevertheless, few studies have incorporated genetic evaluation of these 2 traits jointly. The aim of this work was to compare genetic parameter estimates of male and female fertility defined as success or failure to artificial insemination (AI), using 8 different models. The first 2 models were simple repeatability models studying fertility of one sex and ignoring any information of the other. Models 3 and 4 took into account the information of the other sex by the inclusion of its random permanent environmental effect, whereas models 5 and 6 included fixed effects of the other sex. Models 7 and 8 were joint genetic evaluation models of male and female fertility ignoring or considering genetic correlation. Data were composed of 147,018 AI of the Manech Tête Rousse breed recorded from 2000 to 2004 corresponding to 79,352 ewes and 963 rams. The pedigree file included 120,989 individuals. Variance component estimates from the different models were quite similar; heritabilities varied from 0.050 to 0.053 for female fertility and were near 0.003 for male fertility. Correlations among estimated breeding values in the same sex using different models were higher than 0.99. The genetic correlation between male and female fertility was not significantly different from 0. These results show that for French dairy sheep with extensive use of AI, estimation of breeding values for male and female fertility might be implemented with quite simple models.

摘要

人工授精的结果取决于雄性和雌性的繁殖力。然而,很少有研究将这两个性状的遗传评估结合起来。这项工作的目的是使用8种不同模型比较将人工授精(AI)的成功或失败定义为雄性和雌性繁殖力的遗传参数估计值。前两个模型是简单的重复性模型,研究一种性别的繁殖力而忽略另一种性别的任何信息。模型3和4通过纳入另一种性别的随机永久环境效应来考虑其信息,而模型5和6则纳入了另一种性别的固定效应。模型7和8是忽略或考虑遗传相关性的雄性和雌性繁殖力的联合遗传评估模型。数据由2000年至2004年记录的147,018次马内克·泰特·鲁塞品种的人工授精组成;对应79,

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