van Staaveren N, Doyle B, Manzanilla E G, Calderón Díaz J A, Hanlon A, Boyle L A
J Anim Sci. 2017 Apr;95(4):1528-1536. doi: 10.2527/jas.2016.1180.
Incorporating indicators for pig health and welfare at meat inspection could reduce the need for on-farm assessments. Skin and tail lesions are important welfare indicators in pigs with good potential to record during meat inspection and could possibly function as iceberg indicators of on farm welfare. The aim of this study was to validate the use of these carcass lesions at meat inspection for the assessment of pig health and welfare on farm. Thirty-one farrow-to-finish pig farms (∼12% of Irish herds) were assessed using an adapted version of the Welfare Quality protocol by inspecting 6 randomly selected pens of pigs in the first weaner (4 to 8 wk), second weaner (8 to 13 wk) and finisher stage (13 to 23 wk). The average prevalence of welfare outcomes for each stage was calculated. One batch of pigs was observed at slaughter and skin and tail lesions were scored according to severity for each carcass. The average prevalence of carcass lesion outcomes was calculated for each farm. Linear regression models were developed to predict the prevalence of each welfare outcome in each stage based on the prevalence of the different carcass lesions. The welfare outcomes of different welfare aspects that were best predicted by abattoir information (highest ) were poor body condition (first weaner stage), bursitis (second weaner stage), huddling (first weaner stage), severe tail lesions (finisher stage) and coughing (second weaner stage). Regression trees and receiver-operating curves (ROC) were used to evaluate the usefulness of carcass lesions as monitoring tools. Receiver-operating curves were created using the 75th percentile to classify farms as a problem farm for these welfare outcomes. Cut-off values of predictive carcass lesion prevalence were similar using both techniques. Models for predicting problem farms with poor body condition, bursitis and severe tail lesions were moderately accurate. Sensitivity and specificity ranged from 75 to 100% and 70 to 87%, respectively at the optimal cut-off value of the predictive carcass lesion prevalence. Results show potential for using carcass skin and tail lesions as iceberg indicators of pig health and welfare on farm. Future work is needed to evaluate the cost of including carcass lesion recording at meat inspection, the cost of failing to identify problem farms and the cost of incorrectly visiting or penalizing problem farms before carcass lesions can be used as welfare indicators in a commercial setting.
在肉类检验中纳入猪健康和福利指标可以减少农场评估的需求。皮肤和尾巴损伤是猪重要的福利指标,在肉类检验期间很有记录潜力,并且可能作为农场福利的冰山指标。本研究的目的是验证在肉类检验中使用这些胴体损伤来评估农场猪的健康和福利。通过检查31个从断奶到育肥的猪场(约占爱尔兰猪群的12%),在第一断奶仔猪阶段(4至8周)、第二断奶仔猪阶段(8至13周)和育肥阶段(13至23周)随机选择6个猪栏的猪,采用改良版的福利质量协议进行评估。计算每个阶段福利结果的平均患病率。在屠宰时观察一批猪,并根据严重程度对每个胴体的皮肤和尾巴损伤进行评分。计算每个农场胴体损伤结果的平均患病率。建立线性回归模型,根据不同胴体损伤的患病率预测每个阶段每个福利结果的患病率。由屠宰场信息(最高)最佳预测的不同福利方面的福利结果为:体况差(第一断奶仔猪阶段)、滑囊炎(第二断奶仔猪阶段)、拥挤(第一断奶仔猪阶段)、严重尾巴损伤(育肥阶段)和咳嗽(第二断奶仔猪阶段)。使用回归树和受试者工作特征曲线(ROC)来评估胴体损伤作为监测工具的有用性。使用第75百分位数创建受试者工作特征曲线,将农场分类为这些福利结果的问题农场。两种技术预测胴体损伤患病率的截断值相似。预测体况差、滑囊炎和严重尾巴损伤问题农场的模型具有中等准确性。在预测胴体损伤患病率的最佳截断值时,敏感性和特异性分别为75%至100%和70%至87%。结果表明,胴体皮肤和尾巴损伤有可能作为农场猪健康和福利的冰山指标。在胴体损伤能够在商业环境中用作福利指标之前,需要开展进一步工作来评估在肉类检验中记录胴体损伤的成本、未能识别问题农场的成本以及错误走访或处罚问题农场的成本。