Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Prev Vet Med. 2013 Apr 1;109(1-2):58-68. doi: 10.1016/j.prevetmed.2012.08.013. Epub 2012 Sep 11.
External biosecurity protocols, aimed at preventing the introduction of new pathogens to the farm environment, are becoming increasingly important in the swine industry. Although assessments at the individual farm level occur regularly, efforts to cluster swine herds into meaningful biosecurity groups and to summarize this information at the regional level are relatively infrequent. The objectives of this study were: (i) to summarize external biosecurity practices on sow farms in southern Ontario; (ii) to cluster these farms into discrete biosecurity groups and to describe their characteristics, the variables of importance in differentiating between these groups, and their geographic distribution; and (iii) to identify significant predictors of biosecurity group membership. Data were collected using the Production Animal Disease Risk Assessment Program's Survey for the Breeding Herd. A subset of variables pertaining to external biosecurity practices was selected for two-step cluster analysis, which resulted in 3 discrete biosecurity groups. These groups were named by the authors as: (i) high biosecurity herds that were open with respect to replacement animals, (ii) high biosecurity herds that were closed with respect to replacement animals, and (iii) low biosecurity herds. Variables pertaining to trucking practices and the source of replacement animals were the most important in differentiating between these groups. Multinomial logistic regression provided insight into which demographic and neighborhood variables serve as significant predictors of biosecurity group membership (p<0.05). Variables in the final regression model include: herd density within a 4.8 km radius, number of sows on the premises, and site production type. The odds of belonging to the high biosecurity group that was open with respect to replacement animals, relative to the low biosecurity group, increased 1.001 times for each additional sow (p=0.001). The odds of belonging to the high biosecurity group that was open with respect to replacement animals, relative to the low biosecurity group, were 6.5 times greater for farms that produced genetic animals than for farms that produced commercial animals (p=0.003). The information obtained through this work allows a better understanding of biosecurity in sow herds at the regional level, and the implementation of biosecurity protocols in North American swine herds in general.
外部生物安全协议旨在防止新病原体引入农场环境,在养猪业中变得越来越重要。尽管在单个农场层面经常进行评估,但将猪群聚类为有意义的生物安全组并在区域层面总结这些信息的努力相对较少。本研究的目的是:(i)总结安大略省南部母猪场的外部生物安全实践;(ii)将这些农场聚类为离散的生物安全组,并描述它们的特征、区分这些组的重要变量及其地理分布;(iii)确定生物安全组归属的显著预测因子。数据是使用生产动物疾病风险评估计划的繁殖群调查收集的。选择与外部生物安全实践相关的一组变量进行两步聚类分析,结果得到 3 个离散的生物安全组。作者将这些组命名为:(i)对后备动物开放的高生物安全群,(ii)对后备动物封闭的高生物安全群,和(iii)低生物安全群。与卡车运输实践和后备动物来源相关的变量是区分这些组的最重要变量。多项逻辑回归提供了有关哪些人口统计学和邻里变量可作为生物安全组归属的重要预测因子的见解(p<0.05)。最终回归模型中的变量包括:半径 4.8 公里内的畜群密度、场内母猪数量和场地生产类型。与低生物安全组相比,属于对后备动物开放的高生物安全组的几率增加了 1.001 倍,每增加一头母猪(p=0.001)。与低生物安全组相比,属于对后备动物开放的高生物安全组的几率,生产种畜的农场是生产商品畜的农场的 6.5 倍(p=0.003)。通过这项工作获得的信息可以更好地了解区域层面母猪群的生物安全状况,并总体上提高北美养猪场的生物安全协议实施水平。