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奶牛场乳腺炎感染率与体细胞评分的关系。

Relationship between intramammary infection prevalence and somatic cell score in commercial dairy herds.

机构信息

Dairy Science Department, University of Wisconsin, Madison 53706.

Dairy Science Department, University of Wisconsin, Madison 53706.

出版信息

J Dairy Sci. 2017 Dec;100(12):9691-9701. doi: 10.3168/jds.2017-12810. Epub 2017 Oct 4.

Abstract

We examined consistency of the relationship between intramammary infection (IMI) and somatic cell score (SCS) across several classes of cow, herd, and sampling time variables. Microbial cultures of composite milk samples were performed by New York Quality Milk Production Services from 1992 to 2004. SCS was from the most recent Dairy Herd Improvement test before IMI sampling. Records were analyzed from 79,308 cows in 1,124 commercial dairy herds representing a broad range of production systems. Three binary dependent variables were presence or absence of contagious IMI, environmental IMI, and all IMI. Independent variables in the initial models were SCS, SCS, lactation number, days in milk, sample day milk yield, use of coliform mastitis vaccine, participant type (required by regulation or voluntary), production system (type of housing, milking system, and herd size), season of sampling, year of sampling, and herd; also the initial models included interactions of SCS and SCS with other independent variables, except herd and milk yield. Interaction terms characterize differences in the IMI-SCS relationship across classes of the independent variables. Models were derived using the Glimmix macro in SAS (SAS Institute Inc., Cary, NC) with a logistic link function and employing backward elimination. The final model for each dependent variable included all significant independent variables and interactions. Simplified models omitted SCS and all interactions with SCS. Interactions of SCS with days in milk, use of coliform mastitis vaccine, participant type, season, and year were not significant in any of the models. Interaction of SCS with production system was significant for the all IMI model, whereas interaction of SCS with lactation number was significant for the environmental and all IMI models. Each 1-point increase in SCS (or doubling of somatic cell count) was associated with a 2.3, 5.5, and 9.1% increase in prevalence of contagious, environmental, and all IMI, respectively. Empirical receiver operator characteristic curves and areas under the curve were derived for final and simplified models. The areas under the curve for simplified and final models within each type of IMI differed by 0.009 or less. We concluded that the relationship of IMI with SCS was generally stable over time and consistent across seasons, production systems, and cow factors.

摘要

我们研究了在奶牛、牛群和采样时间变量的几个类别中,乳腺内感染(IMI)和体细胞评分(SCS)之间关系的一致性。1992 年至 2004 年期间,纽约优质牛奶生产服务公司对复合牛奶样本进行了微生物培养。SCS 来自 IMI 采样前最近的奶牛 herd improvement 测试。对来自 1124 个商业奶牛场的 79308 头奶牛的记录进行了分析,这些奶牛场代表了广泛的生产系统。三个二元因变量是传染性 IMI、环境 IMI 和所有 IMI 的存在或不存在。初始模型中的自变量是 SCS、SCS、泌乳次数、泌乳天数、采样日牛奶产量、使用大肠菌乳腺炎疫苗、参与者类型(法规要求或自愿)、生产系统(牛舍类型、挤奶系统和牛群规模)、采样季节、采样年份和牛群;此外,初始模型还包括 SCS 与其他自变量的交互作用,除了牛群和牛奶产量。交互项描述了 IMI-SCS 关系在自变量类别之间的差异。使用 SAS 中的 Glimmix 宏(SAS Institute Inc.,Cary,NC)和逻辑链接函数导出模型,并采用向后消除法。每个因变量的最终模型都包含所有显著的自变量和交互作用。简化模型省略了 SCS 和所有与 SCS 的交互作用。SCS 与泌乳天数、使用大肠菌乳腺炎疫苗、参与者类型、季节和年份的交互作用在任何模型中都不显著。SCS 与生产系统的交互作用对所有 IMI 模型均显著,而 SCS 与泌乳次数的交互作用对环境和所有 IMI 模型均显著。SCS 每增加 1 分(或体细胞计数翻倍),传染性、环境性和所有 IMI 的患病率分别增加 2.3%、5.5%和 9.1%。为最终模型和简化模型分别绘制了经验性接收器操作特征曲线和曲线下面积。每种 IMI 类型内简化模型和最终模型的曲线下面积差异不超过 0.009。我们得出结论,IMI 与 SCS 的关系在时间上总体上是稳定的,并且在季节、生产系统和奶牛因素方面是一致的。

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