A study was conducted to provide a quantitative description of the amount of tag (mud, soil, and bedding) adhered to the hides of feedlot beef cattle and to appraise the statistical reliability of a subjective rating system for assessing this trait.
Initially, a single rater obtained baseline data by assessing 2,417 cattle for 1 month at an Ontario beef processing plant.
Analysis revealed that there was a strong tendency for animals within sale-lots to have a similar total tag score (intralot correlation=0.42).
Baseline data were summarized by fitting a linear model describing an individual's total tag score as the sum of their lot mean tag score (LMTS) plus an amount representing normal variation within the lot.
LMTSs predicted by the linear model were adequately described by a beta distribution with parameters v=3.12 and oméga=5.82 scaled to fit on the 0-to-9 interval.
Five raters, trained in use of the tag scoring system, made 1,334 tag score observations in a commercial abattoir, allowing reliability to be assessed at the individual level and at the lot level.
High values for reliability were obtained for individual total tag score (0.84) and lot total tag score (0.83) ; these values suggest that the tag scoring system could be used in the marketing and slaughter of Ontario beef cattle to improve the cleanliness of animals presented for slaughter in an effort to control the entry of microbial contamination into abattoirs. (...)
Mots-clés Pascal : Modèle linéaire, Objectivité subjectivité, Fiabilité, Analyse ordinale, Boue, Fèces, Bovin boucherie, Artiodactyla, Ungulata, Mammalia, Vertebrata, Abattage, Méthode statistique, Usine viande, Abattoir, Méthode mesure, Contamination biologique, Modélisation
Mots-clés Pascal anglais : Linear model, Objectivity subjectivity, Reliability, Ordinal analysis, Mud, Feces, Beef cattle, Artiodactyla, Ungulata, Mammalia, Vertebrata, Slaughter, Statistical method, Meat processing plant, Slaughterhouse, Measurement method, Biological contamination, Modeling
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0335734
Code Inist : 002A35B05. Création : 16/11/1999.