title: Feasibility of screening broiler chicken flocks for risk markers as an aid for meat inspection.
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.
authors.affiliation: French Agency for Food Safety, Pig, Poultry and Fish Veterinary Research Laboratory, Ploufragan, France. c.lupo@afssa.fr
authors.forename: C
authors.initials: C
authors.lastname: Lupo
authors.forename: S
authors.initials: S
authors.lastname: Le Bouquin
authors.forename: L
authors.initials: L
authors.lastname: Balaine
authors.forename: V
authors.initials: V
authors.lastname: Michel
authors.forename: J
authors.initials: J
authors.lastname: Peraste
authors.forename: I
authors.initials: I
authors.lastname: Petetin
authors.forename: P
authors.initials: P
authors.lastname: Colin
authors.forename: C
authors.initials: C
authors.lastname: Chauvin
mesh_terms: D000822:Animal Husbandry / Q000379:methods; D000818:Animals; D002645:Chickens; D005240:Feasibility Studies; D005513:Food Inspection / Q000379:methods*; D016017:Odds Ratio; D011201:Poultry Diseases / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology