萨安纳山羊和阿尔卑斯山羊的遗传和基因组育种值的比较
A Negro1, A Cesarani2, M Cortellari3
1Ufficio Studi, Associazione Nazionale della Pastorizia, 00187 Rome, Italy; Dipartimento di Scienze Agrarie e alimentari, Università degli studi di Milano, 20133 Milan, Italy.
Animal : an international journal of animal bioscience
|March 20, 2024
概括
使用单步基因组最佳线性无偏预测 (ssGBLUP) 的基因组选择显著提高了意大利桑恩山羊和阿尔卑斯山羊的繁殖价值的准确性. 与传统的BLUP相比,这种方法提高了遗传收益,特别是当表型数据有限时.
科学领域:
- 动物遗传学和动物繁殖
- 定量遗传学 是一种定量遗传学.
- 牛奶山羊的生产生产.
背景情况:
- 全球乳制品山羊行业越来越多地采用基因组选择.
- 意大利的Saanen和Alpine品种目前使用BLUP来估计繁殖价值.
- 单步基因组最佳线性无偏预测 (ssGBLUP) 提供了计算和准确性的优势.
研究的目的:
- 实施和评价意大利萨昂和阿尔卑斯山乳山羊的基因组选择.
- 为了比较BLUP,GBLUP和ssGBLUP对生产特征的准确性.
- 评估基因组数据对估计的繁殖值 (EBV) 和遗传趋势的影响.
主要方法:
- 利用了3611只基因型山羊的数据集,11470个哺乳记录和三代血统.
- 使用BLUP,GBLUP和ssGBLUP (单个和多个特征方法) 估计的EBV.
- 使用线性回归验证了结果,并比较了EBV和遗传趋势之间的相关性.
主要成果:
- 在两种品种的EBV和基因组EBV (GEBV) 之间观察到强烈的相关性.
- 与BLUP相比,ssGBLUP的平均精度增加了+13% (阿尔卑斯山) 和+10% (Saanen).
- 比BLUP,GBLUP和ssGBLUP的预测准确度和相关性更高,特别是没有表型数据.
结论:
- 基因组选择,特别是ssGBLUP,有效地提高了意大利奶山羊的EBV准确性.
- 建议使用 ssGBLUP 来增强 Saanen 和 Alpine 品种的遗传收益.
- 整合基因组数据可以改善育种计划,尤其是在数据有限的情况下.
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