应对弹性:对这一复杂特征进行大规模的表型化
N C Friggens1,2, M Ithurbide3, G Lenoir4
1Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 91120, Palaiseau, France.
JDS communications
|December 9, 2024
概括
现在可以使用农场数据来测量动物的弹性,即应对环境挑战的能力. 新的方法允许遗传性弹性代理,使得有针对性的选择可以改善动物的福祉和寿命.
科学领域:
- 动物科学动物科学
- 量化遗传学 量化遗传学
- 畜牧业管理 畜牧管理
背景情况:
- 动物的弹性对于应对环境变化至关重要.
- 弹性是一种复杂的特征,是多种机制的新兴性质,不能直接测量.
- 精密畜牧技术为使用时间序列数据的大规模弹性表型提供了机会.
研究的目的:
- 审查量化动物恢复能力的方法.
- 讨论使用累积后果的弹性代理的验证.
- 探索从多变量时间序列数据中推导微妙的弹性表型.
主要方法:
- 弹性量化方法的分类 (数据驱动与概念驱动).
- 通过将它们与功能寿命,生殖周期和疾病发病率相关联,验证弹性代理.
- 多个时间序列测量的统计组合,以获得细微的表型.
主要成果:
- 运营性和遗传性弹性代理可以从农场时间序列数据中得出.
- 对累积后果 (寿命,生殖,健康) 的验证支持了这些代理的实用性.
- 多变量时间序列分析允许开发更细微的弹性表型.
结论:
- 存在可遗传和验证的弹性代理,可以用于选择.
- 可以开发出更细微的弹性现象,以根据特定的环境挑战量身定制选择策略.
- 这种方法有助于改善动物在不断变化的环境中的适应性和福祉.
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