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Development of a Benchmarking Tool for Dairy Herd Management Using Routinely Collected Herd Records

机译:使用常规收集的牧群记录开发乳制品管理基准工具

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Continuous assessment of the herd status is important in order to monitor and adjust to changes in the welfare and health status but can be time consuming and expensive. In this study, herd status indicators from routinely collected dairy herd improvement (DHI) records were used to develop a remote herd assessment tool with the aim to help producers and advisors benchmark the herd status and identify herd management issues affecting welfare and health. Thirteen DHI indicators were selected from an initial set of 72 potential indicators collected on 4324 dairy herds in Eastern Canada. Data were normalized to percentile ranks and aggregated to a composite herd status index (HSI) with equal weights among indicators. Robustness analyses indicated little fluctuation for herds with a small HSI (low status) or large HSI (high status), suggesting that herds in need of support could be prioritized and effectively monitored over time, limiting the need for time-consuming farm visits. This tool allows evaluating herds relative to their peers through the composite index and highlighting specific areas with opportunities for improvements through the individual indicators. This procedure could be applied to similar multidimensional livestock farming issues, such as environmental and socio-economic studies.
机译:持续评估畜群状态是重要的,以便监测和调整福利和健康状况的变化,但可能是耗时和昂贵的。在这项研究中,来自常规收集的乳制品牛群改进(DHI)记录的畜群状态指标用于开发远程畜群评估工具,旨在帮助生产者和顾问基准畜群地位,并确定影响福利和健康的畜群管理问题。从加拿大东部4324个乳制品牛群收集的初始72个潜在指标中选择了十三次DHI指标。数据被标准化为百分位数,并在指标之间具有相同权重的复合群状态索引(HSI)。鲁棒性分析表明,具有小型HSI(低状态)或大型HSI(高状态)的畜群的波动很小,这表明需要提供支持的畜群随着时间的推移,限制需要耗时的农场访问的需求。该工具允许通过综合指数评估畜群,并通过个别指标突出具有改进的机会的特定区域。该程序可以应用于类似的多维畜牧业问题,例如环境和社会经济研究。

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