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影响牛奶体细胞计数和白细胞组成的因素:一项实地研究。

Factors influencing somatic cell count and leukocyte composition in cow milk: A field study.

作者信息

Mondini S, Gislon G, Zucali M, Sandrucci A, Tamburini A, Bava L

机构信息

Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy 20133.

Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy 20133.

出版信息

J Dairy Sci. 2025 Mar;108(3):2721-2733. doi: 10.3168/jds.2024-25357. Epub 2024 Nov 26.

DOI:10.3168/jds.2024-25357
PMID:39603498
Abstract

In recent years, a proliferation of studies investigating the composition of milk SCC, focusing on neutrophils (NEU), lymphocytes (LYM), and macrophages (MAC) has occurred. These 3 components are indeed crucial for the animal's immune response to mastitis-causing pathogens. The study examined various factors influencing SCC and leukocyte components in cow milk, including lactation stage, parity, and milk electrical conductivity, using data from 179 dairy cows across 6 farms throughout the entire lactation. Statistical analyses, including mixed models and logistic regression, were employed to investigate the relationships between these variables and identify risk factors for high SCC levels. Results showed that factors such as parity and lactation stage were significantly associated with somatic cell composition. In particular, the highest milk NEU values (>60% of the total leucocytic fraction) and lowest MAC values (<20%) were found at the beginning and end of lactation, which are the critical periods for udder health. High milk electrical conductivity, low milk production, parity number, and poor hygiene scores were identified as contributing to increased SCC. Additionally, elevated percentages of NEU and LYM in milk were associated with increased risk of high SCC values, indicating potential udder health issues.

摘要

近年来,大量研究聚焦于嗜中性粒细胞(NEU)、淋巴细胞(LYM)和巨噬细胞(MAC),对牛奶体细胞计数(SCC)的组成展开了调查。这三种成分对于动物对引起乳腺炎的病原体的免疫反应确实至关重要。该研究利用来自6个农场的179头奶牛在整个泌乳期的数据,考察了影响牛奶SCC和白细胞成分的各种因素,包括泌乳阶段、胎次和牛奶电导率。采用了包括混合模型和逻辑回归在内的统计分析方法,来研究这些变量之间的关系,并确定高SCC水平的风险因素。结果表明,胎次和泌乳阶段等因素与体细胞组成显著相关。特别是,在泌乳开始和结束时发现牛奶NEU值最高(占白细胞总数的>60%),MAC值最低(<20%),这两个时期是乳房健康的关键时期。牛奶高电导率、低产奶量、胎次和较差的卫生评分被确定为导致SCC升高的因素。此外,牛奶中NEU和LYM百分比升高与高SCC值风险增加有关,表明存在潜在的乳房健康问题。

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