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在生产寿命中建模料效率,并整合北欧乳牛体储备管理的子模型

R B Stephansen¹, J Lassen², V M Thorup³

¹Center for Quantitative Genetics and Genomics, Aarhus University, 8000 Aarhus C, Denmark.

Journal of dairy science

|December 11, 2024

概括

为了提高奶牛的料效率,基因选择可以提高利. 这项研究开发了一种牛一生中遗传残留料摄入 (gRFI) 的模型,显示出适度的遗传性和显著的经济效益.

科学领域:

动物遗传学和动物繁殖
乳制品科学乳制品科学
营养生理学营养生理学

背景情况:

为了提高料效率,基因选择对于可持续的奶牛养殖至关重要.
关于整个哺乳期或一生的料效率的有限综合数据阻碍了遗传进步.
准确估计遗传残留料摄入量 (gRFI) 需要可靠的数据和建模方法.

研究的目的:

估计一个多变量模型的差异成分,包括北欧乳品种的生产,料摄入量和体重 (BW).
计算基因剩余料摄入量 (gRFI),并采用新的能量平衡定义 (EB_body).
评估gRFI在不同哺乳期和等级的经济影响和遗传相关性.

主要方法:

利用了Holstein,Jersey和Red乳牛品种的生产,基于摄像头的料摄入量和BW数据.
采用多变量,多平价模型和吉布斯抽样进行参数估计.
研究EB_body,根据身体储备变化计算,作为gRFI中的能量沉降特征.

主要成果:

适度的哺乳期智慧遗传性 (0.15-0.38) 的gRFI被观察到跨品种和平价.
对于gRFI的遗传相关性在哺乳期之间有所不同,在初次和多次哺乳期之间中度高.
提高1个遗传SD单位的gRFI与每头牛年净利增加2-3%相关,而不会对生产或机体储备产生负面影响.

结论:

开发终身gRFI模型是可行的,并为奶牛养殖提供了巨大的经济优势.
将EB_body纳入gRFI是可行的,并提供了一个包含身体状况评分信息的途径.
为了准确的gRFI选择指数,必须对整个哺乳期和生产寿命进行全面的表型记录.

关键词:

提高料效率提高料效率提高料效率遗传残留料摄入量遗传残留料摄入量多变量分析多变量分析.生产生命周期效率的生产效率.

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