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估计数字行为特征的遗传参数及其与纯种猪生产特征的关系
Mary Kate Hollifield1, Ching-Yi Chen2, Eric Psota2
1Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA. marykate.hollifield@uga.edu.
Genetics, selection, evolution : GSE
|April 16, 2024
概括
数字表型能够准确地测量猪的行为,揭示与生产低至中等相关的遗传特征. 后来的记录间隔显示出更强的联系,优化了动物育种中的遗传收益.
科学领域:
- 动物科学动物科学
- 遗传学 遗传学 是一个
- 行为科学 行为科学
背景情况:
- 数字表型和高通量数据为测量以前无法获得的动物特征提供了新的途径.
- 可以评估行为特征,以提高动物生产中的遗传收益.
- 这项研究侧重于猪,使用视频录制来分析性能测试期间的行为.
研究的目的:
- 评估从猪的日间视频录像中获取的行为数据的质量.
- 为了估计行为特征的遗传参数.
- 确定行为和生产特征之间的表型和遗传相关性.
主要方法:
- 在70天内记录了2008头母猪的行为,收集了119,812天的记录.
- 测量行为特征:花费在吃饭,喝酒,躺着 (侧侧和胸部),坐着,站着的时间,以及行驶的距离.
- 负责数据清理的质量控制,包括标准化记录时间和过不切实际的记录.
主要成果:
- 所有的行为特征都是可遗传的 (遗传率为0.190.57).
- 行为和生产特征 (平均每日收益,背部脂肪厚度,腰部深度) 之间的表型和遗传相关性低至中等.
- 55至68天的记录间隔显示出与生产特征最强的表型和遗传相关性.
结论:
- 数字表型是记录行为的一种具有成本效益的方法,但需要严格的数据清理.
- 在不同时间间隔分析行为,可以了解生长周期的变化以及与生产特征的关系.
- 这种方法可以通过将行为与生产效率联系起来,为繁殖策略提供信息.
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