验证来自农场动物模拟纵向性能测量的弹性指标的统计特性
M Ghaderi Zefreh1, R Pong-Wong1, A Doeschl-Wilson1
1The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, United Kingdom.
Animal : an international journal of animal bioscience
|August 3, 2024
概括
提高动物的性是可持续畜牧业的关键,但缺乏定量措施. 这项研究验证了统计指标,发现LMS,LV和AUC的参数方法是排名动物弹性最可靠的.
科学领域:
- 动物科学动物科学
- 量化遗传学 量化遗传学
- 畜牧业生产 畜牧业生产
背景情况:
- 动物的性对于可持续的畜牧生产至关重要.
- 动物适应力的定量测量尚未得到充分发展.
- 建议使用性能偏差的统计指标,但需要验证.
研究的目的:
- 了解弹性指标区分动物反应类型的能力.
- 评估指标依赖于动物反应特征和数据记录.
- 评估估计目标绩效轨迹的方法.
主要方法:
- 乳牛的模拟牛奶产量轨迹受到挑战.
- 将动物分为完全弹性,部分弹性和非弹性类型.
- 经验证的统计指标:平方平均数 (LMS) 的对数,方差对数 (LV),斜率 (S),滞后-1自相关性 (AC1) 和曲线下的面积 (AUC).
主要成果:
- 有足够的数据,LMS,LV和AUC可靠地区分了部分和非弹性类型.
- 所有测试的指标都与其他类型区分完全弹性.
- 与LMS,LV和AUC相结合的参数方法 (量子或重复回归) 是排名弹性最可靠的.
结论:
- 参数轨迹估计结合LMS,LV和AUC提供了一种可靠的方法来评估动物的弹性.
- 指标可靠性各不相同,LMS,LV和AUC显示最有前途.
- 进一步验证这些定量措施对于可持续的畜牧业改善至关重要.
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