Grosse-Kleimann Julia, Wegner Birte, Spiekermeier Ines, Grosse Beilage Elisabeth, Kemper Nicole, Nienhoff Hendrik, Plate Heiko, Meyer Henning, Gerhardy Hubert, Kreienbrock Lothar
Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Institute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Porcine Health Manag. 2021 Aug 3;7(1):45. doi: 10.1186/s40813-021-00225-y.
The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms.
The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting).
It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs.
在育肥猪健康监测中，已在多个领域建立了使用加工后的二手数据的方法，例如抗生素的使用或肉类检验方面。基于多种生产数据来源计算出标准化分数，可用于描述大量猪养殖单元中的动物健康状况。在本研究中，调查了这些分数与不同农场特征和管理决策的关联程度。此外，还将屠宰分数与农场兽医检查结果进行了比较。
单因素和多因素分析结果的比较显示，几乎所有检查的因素在单独考虑时，至少在其中一个分数中起作用。然而，当同时考虑各种显著影响因素时，由于混杂效应，大多数变量失去了统计学意义。特别是生产成本或日采食量等生产数据，仍保留在死亡率、平均日增重和外部损伤分数的最终模型中。关于调查的第二部分，通过主成分分析可以在屠宰分数和农场指标之间建立基本的技术关联。用农场指标对屠宰分数进行建模表明，外部损伤分数可以由农场记录的等效变量（如咬尾或咬耳造成的损伤）来表示。
已证明所检查的健康分数受各种农场和管理特征的影响。然而，当考虑多个因素时，在某些情况下会出现混杂，顾问必须予以考虑。此外，研究表明，基于屠宰猪等效发现的农场检查内容与分数相关。
