Warner Daniel, Vasseur Elsa, Villettaz Robichaud Marianne, Adam Steve, Pellerin Doris, Lefebvre Daniel M, Lacroix René
Lactanet, Canadian Network for Dairy Excellence, Sainte-Anne-de-Bellevue, QC H9X 3R4, Canada.
Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada.
Animals (Basel). 2020 Sep 18;10(9):1689. doi: 10.3390/ani10091689.
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.
持续评估牛群状况对于监测和适应福利与健康状况的变化非常重要,但可能耗时且成本高昂。在本研究中,利用常规收集的奶牛群改良(DHI)记录中的牛群状况指标,开发了一种远程牛群评估工具,旨在帮助生产者和顾问对牛群状况进行基准评估,并识别影响福利和健康的牛群管理问题。从加拿大东部4324个奶牛群收集的72个潜在指标的初始集合中,选取了13个DHI指标。数据被标准化为百分位数等级,并汇总为一个综合牛群状况指数(HSI),各指标权重相等。稳健性分析表明,HSI较小(状况低)或较大(状况高)的牛群波动较小,这表明随着时间的推移,可以对需要支持的牛群进行优先排序并有效监测,从而减少耗时的农场访问需求。该工具允许通过综合指数评估牛群相对于其同行的情况,并通过各个指标突出显示有改进机会的特定领域。此程序可应用于类似的多维度畜牧养殖问题,如环境和社会经济研究。