优化策略,以适应羊养殖计划以牧场为基础的生产环境:一个模拟研究研究
Rebecca Martin1, Torsten Pook2,3, Jörn Bennewitz1
1Institute of Animal Science, University of Hohenheim, Garbenstr. 17, 70599 Stuttgart, Germany.
Animals : an open access journal from MDPI
|November 25, 2023
概括
将羊的选择与牧场环境相匹配,可以最大限度地提高遗传收益. 结合现场和站点后代测试对于调整育种计划和提高羊羔肥胖性能至关重要,特别是基因型与环境相互作用.
科学领域:
- 动物育种与遗传学
- 量化遗传学 量化遗传学
- 绵羊生产系统 绵羊生产系统
背景情况:
- 当选择和生产环境不同时,基因型与环境相互作用 (G × E) 可以减少遗传收益.
- 为了实现可持续生产,调整羊养殖计划以以牧场为基础的系统至关重要.
- 当前的育种计划可能无法充分考虑牧场生产现实.
研究的目的:
- 模拟和评估德国美利诺羊的不同后代测试场景.
- 为基于牧场的生产环境优化绵羊养殖计划.
- 研究基因型与环境相互作用下的最大化遗传收益的策略.
主要方法:
- 使用模块化繁殖计划模拟器 (MoBPS) R套件模拟德国美利诺羊的繁殖场景.
- 基于多变量血统的最好的线性无偏预测 (BLUP) 用于品种价值估计.
- 参考 (站点后代测试) 与替代方案 (站点和/或现场后代测试) 的比较.
主要成果:
- 总优点指数 (TMI) 显示,在现场和站场环境中进行后代测试时,遗传收益显著增加.
- 肥胖特征的遗传收益在结合实地后代测试的场景中得到了显著的增强.
- 与生产环境 (牧场) 一致的选择环境可以减轻因G × E而导致的遗传收益损失.
结论:
- 调整选择和生产环境至关重要,以避免由基因型与环境相互作用引起的遗传收益损失.
- 结合现场和站点后代测试,最大限度地提高遗传收益,特别是当繁殖目标包括在现场无法记录的特征时.
- 优化后代测试策略是调整羊养殖计划以牧场为基础的生产的关键.
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