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牛奶生物标志物,生产绩效和奶牛动物福利指标的综合多变量分析

Daniela Elena Babiciu¹, Florin Ioan Beteg¹, Mihai Cenariu¹

¹Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 400372 Cluj-Napoca, Romania.

Animals : an open access journal from MDPI

|November 13, 2025

概括

牛奶生物标志物提供了一种非侵入性的方法来评估奶牛的福利. 常规的牛奶分析可以检测群体的健康,行为和舒适性问题,支持可持续的农业实践.

科学领域:

动物科学动物科学
兽医医学兽医医学兽医医学
乳制品生产乳制品生产

背景情况:

动物福利对于可持续的乳制品生产至关重要.
客观地评估群体水平的福利是具有挑战性的.
实际应用需要非侵入性指标.

研究的目的:

评估牛奶生物标志物作为牛福利的非侵入性指标.
为了将牛奶分析参数与已建立的福利评估协议相关联.
根据牛奶生物标志物和福利指标确定群体概况.

主要方法:

通过使用福利质量®协议评估了37家奶牛场.
分析了各种牛奶参数,包括脂肪与蛋白质的比例和体细胞计数.
使用的斯皮尔曼相关性,主要组件分析 (PCA) 和K-平均集群.

主要成果:

牛奶生物标志物和福利指标之间发现了强烈的关联.
较高的脂肪与蛋白质比率与更好的养和人与动物的关系有关.
身体细胞数量增加与乳腺炎等健康问题相关,健康状况下降.
PCA确定了健康-卫生,社会-行为和代谢压力维度.
K-means集群定义了三种群体概况:食代谢平衡,行为舒适度和临床卫生风险.

结论:

常规的牛奶生物标志物为群体福利提供了综合的,非侵入性的洞察力.
牛奶分析有助于早期发现奶牛群的福利问题.
纳入牛奶分析支持基于证据的决策,以实现可持续的乳制品管理.

关键词:

奶牛牛奶牛牛奶牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛奶的成分牛奶的成分福利评估福利评估福利指标福利指标

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