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魁北克奶牛场的生物安保采用:使用常规和无监督人工智能方法分析风险评估问卷的结果。

Biosecurity adoption in Québec dairy farms: Results from a risk assessment questionnaire analyzed using conventional and unsupervised artificial intelligence methods.

机构信息

Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, QC, J2S 7C6, Canada.

Association des médecins vétérinaires praticiens du Québec-DSAHR, Saint-Hyacinthe, QC, J2S 5G7, Canada.

出版信息

J Dairy Sci. 2024 Aug;107(8):6000-6014. doi: 10.3168/jds.2023-24256. Epub 2024 Mar 22.

DOI:10.3168/jds.2023-24256
PMID:38522832
Abstract

This study documents the current state of biosecurity on dairy farms in Québec following the implementation of a mandatory biosecurity risk evaluation that was part of the proAction accreditation program developed by Dairy Farmers of Canada. Using a cross-sectional design, 3,825 risk assessment questionnaires completed between 2018 and 2021 were extracted from Vigil-Vet database, which is a software used by veterinarians for conducting the proAction risk assessment. Descriptive statistics were used to summarize the practices adopted by dairy producers. Additionally, multiple correspondence analysis was used to explore the association between the diseases of most concern and the adoption of biosecurity practices. Moreover, we used a hierarchical cluster analysis on principal components to identify distinct patterns of biosecurity practices among dairy producers. This analysis enabled the identification of typologies or clusters of farms based on the specific biosecurity practices they currently employ. The results of the descriptive statistics indicated that mastitis was the disease of most concern for most dairy farmers (40%). Moreover, given that only 10% of the 2,237 dairy farmers who acquired animals adhered to quarantine practices, there seems to be a need for improved implementation of biosecurity measures aimed at restricting the introduction of diseases when introducing new animals. Conversely, cleaning stalls and health equipment were adequately addressed by 95% and 86% of dairy producers, respectively. The multiple correspondence analysis indicated no significant association between the disease of most concern and the farm's biosecurity profile, except for respondents who identified digital dermatitis as their disease of most concern. Through the hierarchical cluster analysis, 3 clusters were identified among 3,581 farms: (1) Cluster 1 included farms with good management of sick animals; (2) Cluster 2 included farms with good management of young animals; and (3) Cluster 3 included farms with poor management of sick animals and young animals. Our study makes an important contribution by providing valuable insights into the biosecurity practices currently adopted on Québec dairy farms. It establishes a baseline for assessing progress in biosecurity practices adoption and serves as a reference point for future evaluations. In addition, these findings play a key role in monitoring the effectiveness of interventions aimed at improving biosecurity on dairy farms. By making use of this knowledge, stakeholders can make informed decisions that prioritize animal health, increase productivity, and ensure sustainability of the dairy industry.

摘要

本研究记录了在加拿大奶农实施强制性生物安全风险评估后的魁北克奶牛场的生物安全现状。该评估是由加拿大奶农开发的 proAction 认证计划的一部分。使用横断面设计,从 Vigil-Vet 数据库中提取了 2018 年至 2021 年间完成的 3825 份风险评估问卷,该数据库是兽医用于进行 proAction 风险评估的软件。使用描述性统计来总结奶牛生产者采用的实践。此外,还使用多元对应分析来探索最关注的疾病与生物安全实践的采用之间的关联。此外,我们使用主成分的层次聚类分析来识别奶牛生产者之间不同的生物安全实践模式。该分析能够根据他们目前采用的特定生物安全实践,识别农场的不同类型或聚类。描述性统计结果表明,乳腺炎是大多数奶牛场最关注的疾病(40%)。此外,由于只有 10%的 2237 名购买动物的奶农遵守检疫实践,因此似乎需要改进旨在限制引入新动物时引入疾病的生物安全措施的实施。相反,95%和 86%的奶牛生产者分别充分解决了清洁畜栏和卫生设备的问题。多元对应分析表明,最关注的疾病与农场的生物安全概况之间没有显著关联,除了将数码性皮炎视为最关注的疾病的受访者。通过层次聚类分析,在 3581 个农场中识别出 3 个集群:(1)集群 1 包括对患病动物管理良好的农场;(2)集群 2 包括对幼畜管理良好的农场;(3)集群 3 包括对患病动物和幼畜管理不善的农场。本研究通过提供有关魁北克奶牛场目前采用的生物安全实践的有价值的见解,做出了重要贡献。它为评估生物安全实践的采用进展建立了一个基准,并为未来的评估提供了一个参考点。此外,这些发现对于监测旨在改善奶牛场生物安全的干预措施的有效性起着关键作用。通过利用这些知识,利益相关者可以做出明智的决策,优先考虑动物健康、提高生产力,并确保奶业的可持续性。

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