A whole-genome association analysis of noncompensatory fertility in Holstein bulls
A whole-genome association analysis of noncompensatory fertility in Holstein bulls
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DOI：
10.3168/jds.2010-3728
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发表时间：
2011-09-01
影响因子：
3.5
通讯作者：
Kirkpatrick, B. W.
中科院分区：
文献类型：
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作者：
Blaschek, M.;Kaya, A.;Kirkpatrick, B. W.
提高奶牛的繁殖力是一个重要的目标。雄性不育是奶牛总体不育的一部分，可以分为补偿性和非补偿性两部分，其中补偿性不育是指可以通过增加精子数量来克服的不育，非补偿性不育是指其余部分，可能是由于分子和基因组缺陷。通过估计单核苷酸多态性（SNP）与非补偿公牛生育力的关联，有可能确定基因组中影响这一性状的区域。在选择中使用这些信息可以提高牛的生育力，从而产生经济效益。在这项研究中，高密度SNP基因型和非补偿生育数据从795荷斯坦公牛被用来检查SNP与生育力的关联。进行贝叶斯B分析以开发用于基因组选择的信息并鉴定与非补偿性生育力相关的基因组区域。交叉验证的方法被用来评估模型的有效性，在原来的一套795公牛。在交叉验证中，预测和观察到的生育力值的相关性约为0.145。
Increasing fertility in dairy cattle is an important goal. Male infertility represents a part of the overall infertility in dairy cattle and can be partitioned into compensatory and noncompensatory components, where compensatory refers to infertility that can be overcome by increasing sperm number and noncompensatory infertility represents the remainder, presumably due to molecular and genomic defects. Through estimation of single nucleotide polymorphism (SNP) association with noncompensatory bull fertility, it is possible to identify regions of the genome influential to this trait. Use of this information in selection can allow for an increase in cattle fertility, resulting in economic benefits. In this study, high-density SNP genotypes and noncompensatory fertility data from 795 Holstein sires were used to examine SNP associations with fertility. A Bayes B analysis was performed to develop information for genomic selection and to identify genomic regions associated with noncompensatory fertility. A cross-validation approach was used to assess the effectiveness of the models within the original set of 795 bulls. Correlations of predicted and observed fertility values were approximately 0.145 in cross-validation.