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首页> 外文期刊>Journal of dairy research >Evaluation of milk components during whole lactation in healthy quarters
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Evaluation of milk components during whole lactation in healthy quarters

机译：健康区全乳期间的牛奶成分评估

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Several milk components related to immune defences (lysozyme, lactoferrin and γ-globulins, γ-G) and to inflammation (somatic cell counts, SCC; N-acetyl-β-glucosaminidase, NAGase; albumin) were considered. Forty-one quarters and 685 samples of 24 cows were included in the study; among them 534 samples were defined as negative (78.0%), 93 as diseased (13.5%) and 58 (8.5%) as subclinical. The pattern of each milk component in quarters always negative during the follow-up period was evaluated by a mixed model. Statistical analysis showed that days in milk (DIM), age (primiparous, pluriparous), herd and the interaction between herd and days in milk significantly influenced all the markers, with very few exceptions. A subset of samples including the negative quarters before the first outcome of an infection or a subclinical mastitis and the samples from quarters always negative was also selected. The analysis showed that herd, DIM and health status had a significant influence on most markers. Overall, primiparous cows were confirmed to have higher levels of most of the markers than pluriparous cows. The presence of a herd effect on non specific immune defences in fully negative quarters implies that when the mechanisms behind their release are fully elucidated, it might be possible to modulate them. Udder tissues were confirmed as an important source of some immune components, as supported by the inconsistency between SCC mean values and NAGase, lysozyme and lactoferrin values. Overall, quarters with high levels of NAGase, lysozyme and γ-G, exposed to bacteria, did not develop subclinical mastitis. Hence, invading pathogens could induce the development of subclinical IMI when these components and γG are in low concentration.
机译：考虑了与免疫防御（溶菌酶，乳铁蛋白和γ-球蛋白，γ-G）和炎症（体细胞计数，SCC； N-乙酰基-β-氨基葡萄糖苷酶，NAGase；白蛋白）有关的几种牛奶成分。该研究包括24头母牛的41个季度和685个样本；其中534个样本被定义为阴性（78.0％），93个被定义为患病（13.5％），58个被定义为亚临床（8.5％）。通过混合模型评估了在随访期间每个季度牛奶成分始终为负的模式。统计分析表明，牛奶中的天数（DIM），年龄（初生，多胎），牛群以及牛群与奶中天数之间的相互作用都会显着影响所有标记，只有极少数例外。还选择了样本的子集，包括感染或亚临床乳腺炎的第一个结果的阴性季度之前的样本，以及季度总是阴性的样本。分析表明，牛群，DIM和健康状况对大多数指标都有显着影响。总体而言，已确认初产奶牛的大多数标志物水平均高于多产奶牛。在完全阴性的区域中存在针对非特异性免疫防御的群效应意味着，当完全阐明其释放背后的机制时，可能有可能对其进行调节。 SCC平均值与NAGase，溶菌酶和乳铁蛋白值之间的不一致，证实了乳房组织是某些免疫成分的重要来源。总体而言，暴露于细菌的NAGase，溶菌酶和γ-G含量高的地区没有发生亚临床乳腺炎。因此，当这些成分和γG处于低浓度时，入侵的病原体可能会诱导亚临床IMI的发展。

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