在自动挤奶系统中,特定于病原体的挤奶特征模式
Charlott Olofsson1, Ingrid Toftaker1, Amira Rachah2
1Department of Production Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, 1433 Ås, Norway.
Journal of dairy science
|March 30, 2024
概括
在乳牛中早期发现乳腺内感染 (IMI) 对动物福利至关重要. 这项研究揭示了与特定乳腺炎病原体相关的明显的挤奶特征模式,有助于使用自动挤奶系统 (AMS) 早期检测IMI.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 动物科学动物科学
- 乳制品生产 乳制品生产
背景情况:
- 乳腺内感染 (IMI) 的早期检测对于乳牛群的健康和福利至关重要.
- 自动挤奶系统 (AMS) 产生了大量数据,为乳腺炎管理提供了新的途径.
- 了解哺乳特征的病原体特定变化对于利用AMS数据至关重要.
研究的目的:
- 调查AMS记录的哺乳特征中的病原体特定模式.
- 确定不同乳病原体如何影响线上体细胞计数 (OCC),电导率 (EC),牛奶产量 (MY) 和平均牛奶流量 (AMF).
主要方法:
- 一项观察性研究分析了169头母牛的101,492只母乳,持续了两年.
- 使用AMS记录了哺乳特征 (OCC,EC,MY,AMF),并每月采样牛奶以对13种乳腺炎病原体进行细菌培养.
- 统计模型评估了在检测前15天的阳性细菌学和挤奶特征之间的关联.
主要成果:
- 所有病原体都改变了与未感染的奶牛相比,在线体细胞计数 (OCC) 的水平和可变性.
- 黄金葡萄球菌感染与诊断前15天的牛奶产量 (MY) 增加有关.
- 黄金葡萄球菌和Streptococcus dysgalactiae在OCC和EC-IQR中显示出最显著的变化,其次是其他类型的菌株和乳球菌.
结论:
- 特定的挤奶特征模式与不同的乳腺炎病原体相关,使早期检测成为可能.
- 在线体细胞计数 (OCC) 和电导率 (EC-IQR) 是IMI检测的信息特征,特别是用机器学习算法分析时.
- 利用AMS数据用于病原体特异性IMI检测可以提高奶牛群的健康管理.
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