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Enregistrement W7034375242

Transportation of animals for slaughter in Canada: Welfare issues and regulatory control

2016· article· en· W7034375242 sur OpenAlexfundaboutno aff

Notice bibliographique

RevueIslandScholar (University of Prince Edward Island) · 2016
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAnimal Nutrition and Physiology
Établissements canadiensnon disponible
Organismes subventionnairesDepartment for Environment, Food and Rural Affairs, UK GovernmentEuropean CommissionMinistry of Agriculture, Food and Rural AffairsEuropean Food Safety AuthorityOntario Ministry of Agriculture, Food and Rural AffairsCanadian Food Inspection Agency
Mots-clésAnimal welfareLegislationWelfareEnforcementNoticeAgency (philosophy)SubsidyControl (management)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

There are a number of factors involved in the transport of animals for slaughter in Canada that can potentially affect the welfare implications of transportation. These include fitness for transport, animal handling, climatic conditions (including vehicle ventilation) and journey duration. Legislation has been put in place as a means of control of industry practices to protect animal welfare during transport. This thesis examines the law relating to the protection of animal welfare during transport in Canada and assesses the impact of legislation in relation to animal welfare. The deliberations of the Canada Agricultural Review Tribunal in terms of its decisions in cases where they heard an appeal against a Notice Of Violation issued by the Canadian Food Inspection Agency for an infringement of Part XII of the Health of Animals Regulations provided one useful source of data with which to assess the effectiveness of the enforcement of the regulations for the protection of animal welfare during transport in Canada. Welfare issues when transporting poultry for slaughter are prominent. This led to a retrospective observational study of the risk factors when transporting broiler chickens for slaughter in Atlantic Canada. Results indicated that there are numerous interrelated risk factors inherent in the transport process affecting mortality during transit in Canada, with the most prominent being the weather conditions in which animals are transported. A significant interaction between the stocking density and the external temperature during transit was identified in the analysis. The mortality risk was higher in cold weather conditions compared with hot weather conditions. At very cold external temperatures, the mortality risk was reduced at high compared with low crate stocking densities, but it still remained higher than that at warmer temperatures. The stocking densities used by the slaughter plant were within the maximum recommended in the Canadian codes of practice for transport of poultry. Environmental conditions of high temperature and high humidity while at the holding barn, as indicated by an apparent equivalent temperature in the ‘high risk’ zone, resulted in a higher mortality risk than when the AET was in the medium or low risk zones. Keeping birds dry during transport results in lower mortality risk than when birds become wet. Large temperature gradients were recorded between the external temperature and that recorded within the trailer during transit and during the holding barn period, particularly in winter conditions when vehicle ventilation openings were most likely to be closed. This indicates a potential for heat stress to occur, even in winter conditions. Improvements in the monitoring and control of the thermal conditions (hot and cold) within trailers and the holding barn would be beneficial in reducing the mortality risk. During extreme weather conditions, consideration should be given to the ability of the equipment and facilities to provide appropriate conditions for the broilers when making decisions as to whether loading and transportation should be undertaken.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,721
Score d'incertitude au seuil0,923

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,177
Écart entre enseignants0,170 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission2
Résumé présentoui

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