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筛选肉鸡群风险标志物以辅助肉类检验的可行性。

Feasibility of screening broiler chicken flocks for risk markers as an aid for meat inspection.

作者信息

Lupo C, Le Bouquin S, Balaine L, Michel V, Peraste J, Petetin I, Colin P, Chauvin C

机构信息

French Agency for Food Safety, Pig, Poultry and Fish Veterinary Research Laboratory, Ploufragan, France.

出版信息

Epidemiol Infect. 2009 Aug;137(8):1086-98. doi: 10.1017/S095026880900209X. Epub 2009 Feb 23.

Abstract

The feasibility of using risk markers to screen broiler chicken flocks and anticipate their risk of condemnation at meat inspection was examined in 404 randomly selected flocks in 15 French slaughterhouses in 2005. Condemnation rate and information about rearing conditions, health history, catching and loading, transport and slaughtering were collected. The Poisson regression model of the condemnation rate consisted of six simple and biologically relevant predictors: production type, frequency of farmer's visits during the starting period, health disorders during rearing, on-farm mortality, mortality during transport, and slaughter-line speed. Although accurate prediction of the condemnation rate for a given flock was not feasible, flocks with low or high risk of condemnation could be distinguished. These findings could be useful at various stages of chicken production, to monitor and improve farm husbandry practices, minimize the impact of transport conditions, and optimize meat inspection procedures.

摘要

2005年,在法国15家屠宰场随机选取了404个肉鸡群,研究了使用风险标志物筛选肉鸡群并预测其在肉类检验时被判定不合格风险的可行性。收集了判定不合格率以及有关饲养条件、健康史、抓捕和装载、运输及屠宰的信息。判定不合格率的泊松回归模型由六个简单且具有生物学相关性的预测因素组成:生产类型、育雏期农民来访频率、饲养期间的健康问题、农场死亡率、运输期间的死亡率以及屠宰线速度。虽然对给定鸡群的判定不合格率进行准确预测不可行,但可以区分判定不合格风险低或高的鸡群。这些发现可能在鸡肉生产的各个阶段都有用,可用于监测和改进农场饲养管理实践、将运输条件的影响降至最低并优化肉类检验程序。

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