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短篇交流:自动挤奶系统中牛只和奶区挤奶指标及其与临床乳腺炎的关联。

Short communication: Cow- and quarter-level milking indicators and their associations with clinical mastitis in an automatic milking system.

机构信息

Department of Dairy Science, University of Wisconsin-Madison, Madison 53706.

Department of Dairy Science, University of Wisconsin-Madison, Madison 53706.

出版信息

J Dairy Sci. 2017 Nov;100(11):9267-9272. doi: 10.3168/jds.2017-12839. Epub 2017 Sep 13.

Abstract

The aim of this study was to assess associations of cow-, udder-, and quarter-level factors with the risk of clinical mastitis (CM) in cows managed using an automatic milking system. The primary hypothesis was that quarter peak milk flow rate (QPMF) is associated with increased risk of CM. A retrospective, case-control study was undertaken using data from a 1,549 cow farm using 20 automatic milking system units. All data from cows milked during March to December 2015 was available for analysis. Cases (n = 82) were defined as cows diagnosed with their first case of CM between 24 and 300 d in milk in the current lactation. Healthy control cows (n = 6/case) were randomly matched based on identical parity, existence of milk records during the day in milk period corresponding to the 15-d window before case diagnosis, average conductivity of <5.5 mS/cm in that window, and no history of CM in the current lactation. Logistic regression was used to estimate effects of parity, quarter position, day in milk at diagnosis of CM, average of QPMF 15 d before CM diagnosis, udder milk yield, and milking interval on the probability of CM. Of the 6 predictor variables included in the model, only milking interval was significantly associated with the increased risk of quarter CM. We concluded that in a high-production, freestall-housed North American herd using automatic milking system, milking interval, but not QPMF, was associated with risk of CM.

摘要

本研究旨在评估牛只、乳房和乳区水平的因素与自动挤奶系统管理的奶牛发生临床乳腺炎(CM)的风险之间的关联。主要假设是乳区高峰奶流率(QPMF)与 CM 风险增加相关。本研究采用回顾性病例对照研究,利用使用 20 个自动挤奶系统的 1549 头奶牛的数据进行分析。所有在 2015 年 3 月至 12 月期间挤奶的奶牛的数据均可用于分析。病例(n=82)被定义为在当前泌乳期内,在 24 至 300 天泌乳期间首次诊断为 CM 的奶牛。健康对照组奶牛(n=6/例)根据相同的胎次、在与病例诊断前 15 天窗口对应的泌乳天数期间存在泌乳记录、该窗口期间的平均电导率<5.5 mS/cm 以及当前泌乳期内无 CM 病史进行随机匹配。使用逻辑回归估计胎次、乳区位置、CM 诊断时的泌乳天数、CM 诊断前 15 天的 QPMF 平均值、乳房产奶量和挤奶间隔对 CM 发生概率的影响。在纳入模型的 6 个预测变量中,只有挤奶间隔与 CM 季度发病风险显著相关。我们得出结论,在使用自动挤奶系统的高生产力、封闭牛舍的北美牛群中,挤奶间隔,而不是 QPMF,与 CM 风险相关。

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