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Retrospective evaluation of health event data recording on 50 dairies using Dairy Comp 305

机译:使用Dairy Comp 305对50个奶牛场记录的健康事件数据进行回顾性评估

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摘要

The purpose of this study was to characterize health data recording in herds using Dairy Comp 305 (Valley Agricultural Software, Tulare, CA), focused on the most common diseases of dairy cattle: mastitis, uterine infection (metritis), and diseases causing lameness. Herds using Dairy Comp 305 were chosen for the study because it was the most commonly used program in the United States (35% of operations using computer records/60% of cows on operations using computer records), the authors were familiar with the program, and there was convenient access to herds using the program. Specific objectives were to (1) determine the percentage of herds recording mastitis, metritis, and diseases causing lameness and the number of user-defined events used to record those diseases, (2) identify the information recorded in the remarks about the event used for each disease, and (3) evaluate the consistency of health event remarks recorded. A convenience sample of 50 Dairy Comp 305 compressed cow files was obtained directly from dairies that the authors had contact with or files obtained from industry consultants. The 50 herds included in the study were from 9 different states: California (n = 3), Colorado (n = 2), Iowa (n = 2), Idaho (n = 8), Minnesota (n = 2), New Mexico (n = 9), Oregon (n = 2), Texas (n = 2), Utah (n = 1), and Washington (n = 19). The average number of milking cows of the herds was 3,053 (median = 2,217), ranging from 310 to 12,490 cows. The majority of dairies in this study were recording health events associated with mastitis, metritis, and diseases causing lameness. However, as reported previously, most health records observed in the current study lacked the accuracy and consistency needed to be useful for evaluating and informing herd-level health management decisions. This situation likely reflects the intended use of those records by farm personnel and the user-defined nature of health records in the absence of accepted industry standards or recommendations for health data-recording practices.
机译:这项研究的目的是使用Dairy Comp 305(加利福尼亚州图莱里的谷农业软件公司)表征牛群中的健康数据记录,该数据集中于奶牛最常见的疾病:乳腺炎,子宫感染(子宫炎)和引起la行的疾病。选择使用Dairy Comp 305的牛群作为研究对象,因为它是美国最常用的程序(使用计算机记录进行操作的占35%,使用计算机记录进行操作的母牛占60%),作者对此程序很熟悉,使用该程序可以方便地访问畜群。具体目标是(1)确定记录乳腺炎,子宫炎和引起la行的疾病的人群的百分率,以及记录这些疾病的用户定义事件的数量,(2)确定备注中记录的有关该事件的信息。每种疾病,以及(3)评价记录的健康事件说明的一致性。直接从作者联系过的乳制品厂或从行业顾问那里获得的文件,直接获得了50个Dairy Comp 305压缩奶牛档案的便利样本。研究中包括的50个牛群来自9个不同州:加利福尼亚州(n = 3),科罗拉多州(n = 2),爱荷华州(n = 2),爱达荷州(n = 8),明尼苏达州(n = 2),新墨西哥州(n = 9),俄勒冈州(n = 2),德克萨斯州(n = 2),犹他州(n = 1)和华盛顿(n = 19)。牛群的平均挤奶量为3,053头(中位数= 2,217头),范围为310到12,490头。这项研究中的大多数奶牛场都记录了与乳腺炎,子宫炎和引起la行的疾病有关的健康事件。但是,如先前报道的那样,当前研究中观察到的大多数健康记录都缺乏对评估和告知畜群级健康管理决策有用的准确性和一致性。这种情况很可能反映了农场工作人员对这些记录的预期用途,以及在没有公认的行业标准或健康数据记录实践建议的情况下用户定义的健康记录性质。

著录项

  • 来源
    《Journal of dairy science》 |2012年第8期|p.4699-4706|共8页
  • 作者

    J. R. Wenz; S. K. Giebel;

  • 作者单位

    Department of Veterinary Clinical Sciences, Washington State University, Pullman 99164;

    Department of Veterinary Clinical Sciences, Washington State University, Pullman 99164;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    producer-reported health records; dairy comp 305;

    机译:生产者报告的健康记录;乳品comp 305;

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