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动物委员会邀请审查:农场动物的抗性量化
M Taghipoor1, M Pastell2, O Martin1
1Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 91120 Palaiseau, France.
Animal : an international journal of animal bioscience
|September 10, 2023
概括
动物的弹性,即从挑战中恢复的能力,可以使用数学模型和高频数据来量化. 这允许改进的育种计划和量身定制的管理策略,以提高动物福利和减少制药的使用.
科学领域:
- 动物科学动物科学
- 量化遗传学 量化遗传学
- 动物福利 动物福利
背景情况:
- 弹性是一种复杂的特征,对动物适应环境挑战至关重要.
- 现代技术使得高频数据可以记录个体动物的表现.
- 量化弹性需要数学模型,因为它不能直接测量.
研究的目的:
- 通过使用高频数据,审查和说明用于检测和量化动物对干扰反应的建模方法.
- 探索实时和后处理数据分析方法.
- 介绍混合模型的观点,以便更好地理解和预测动物的弹性.
主要方法:
- 审查现有的动物弹性建模方法.
- 用高频率动物性能数据进行案例研究的说明.
- 开发解释模型,以识别动物感知到的扰动时期.
主要成果:
- 演示了各种建模方法来检测和量化动物对干扰的反应.
- 插图的替代实时和后处理数据分析策略.
- 强调了混合模型在预测动物弹性方面的潜力.
结论:
- 量化个体动物的弹性使其能够被纳入育种计划,以改善适应性.
- 强化性可以减少环境压力因素和疾病对动物福利的影响.
- 基于个体性的量身定制的管理策略可以减少药物使用和动物疼痛.
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