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[因复发性临床型乳腺炎导致的产奶量减少的特定畜群估计]

[Herd-specific estimation of milk yield reduction due to recurrent clinical mastitis].

作者信息

Zoche-Golob Veit, Spilke Joachim

机构信息

Sächsischer Landeskontrollverband e.V.

出版信息

Berl Munch Tierarztl Wochenschr. 2013 Jul-Aug;126(7-8):269-76.

PMID:23901581
Abstract

To decide about investments in preventive measures improving udder health it is important that the farmer knows the monetary loss due to mastitis on his specific farm. The Saxon dairy herd improvement association (Sächsischer LandeskontrolIverband e.V., LKV) is developing a computer program called "Daten- und Informationsplattform Tier (DIT)"which determines - among other analyses - the milk loss caused by mastitis for a specific herd based on individual cow's mastitis and daily milk yield data. The present article introduces the linear mixed model which is taken as a basis for calculating the reduction in performance through clinical mastitis. The short and long term decrease in daily milk yield is described by expanding the lactation curve model of Ali and Schaeffer (1987). For falculating the short term drop, the model includes the laps of time in days since the mastitis incident as secon-ddegree polynomial. The coefficients are estimaged specifically for the first respectively every following case of mastitis (class of episode). Classes of episode are also considered calculating the long term decrease by estimating lactation curves without mastitis as well as corresponding to the classes of episode. By integrating the statistic software R (R Development Core Team, 2012) into the processes of the DIT the estimation of the farm specific model parameters is largely automated on the servers of the LKV.Thereby, milk yield can be estimated for every day in milk according to episode number and laps of time since the incident or with no mastitis incident respectively for a particular period of time in a specific dairy herd. The loss resulting from reduced performance due to clinical mastitis is specified by adding up the differences and can serve as a valuable basis for management decisions.

摘要

要决定对改善乳房健康的预防措施进行投资,养殖者了解其特定农场因乳腺炎造成的金钱损失非常重要。萨克森奶牛群改良协会(Sächsischer LandeskontrolIverband e.V., LKV)正在开发一个名为“动物数据与信息平台(Daten- und Informationsplattform Tier,DIT)”的计算机程序,该程序基于个体奶牛的乳腺炎和每日产奶量数据等分析,确定特定牛群因乳腺炎导致的产奶损失。本文介绍了用于计算临床乳腺炎导致的生产性能下降的线性混合模型。通过扩展阿里和谢弗(1987年)的泌乳曲线模型来描述每日产奶量的短期和长期下降情况。为了计算短期下降,该模型将自乳腺炎事件发生以来的天数作为二次多项式纳入其中。针对每一例乳腺炎事件(事件类别)分别具体估计系数。在计算长期下降时也考虑事件类别,即通过估计无乳腺炎情况下的泌乳曲线以及与事件类别相对应的情况。通过将统计软件R(R开发核心团队,2012年)集成到DIT流程中,LKV的服务器上很大程度实现了特定农场模型参数估计的自动化。由此,可以根据事件编号和自事件发生以来的时间间隔,或者分别针对特定奶牛群在特定时间段内无乳腺炎事件的情况,估计出每天的产奶量。因临床乳腺炎导致生产性能下降所造成的损失通过累加差异来确定,可为管理决策提供有价值的依据。

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