Department of Epidemiology, School of Veterinary Science, University of Liverpool, Leahurst, Neston, UK.
Avian Pathol. 2010 Oct;39(5):405-9. doi: 10.1080/03079457.2010.510500.
Hock burn is a common disease of broiler chickens affecting flock welfare and farmer income. Here we use hierarchical logistic regression (HLR) models to identify risk factors for hock burn using data from 5895 flocks, collected over 3.5 years by a large UK broiler company. The results suggest that at 2 weeks of age, weight and weight density may be useful predictors of flocks at risk of a high incidence of hock burn. In contrast, stocking density at placement is not. The use of these and other variables in disease prevention add value to routinely collected management data and can assist in improving broiler welfare and farm income.
跖烧伤是一种常见的肉鸡疾病，影响鸡群福利和农民收入。在这里，我们使用层次逻辑回归（HLR）模型，利用一家大型英国肉鸡公司在 3.5 年内收集的 5895 个鸡群的数据，来确定跖烧伤的风险因素。结果表明，在 2 周龄时，体重和体重密度可能是预测高跖烧伤发病率鸡群的有用指标。相比之下，入舍时的饲养密度则不是。在疾病预防中使用这些和其他变量可以增加常规收集的管理数据的价值，并有助于改善肉鸡福利和农场收入。
