Swine veterinarians are a vital resource for minimizing the incidence of stressed pigs during transport.
Notice bibliographique
Résumé
The swine industry faces difficult challenges in satisfying increasing consumer and retail sector demands while remaining competitive. The collective and coordinated efforts of veterinarians, scientists, and the entire hog value chain are needed to make this succeed. One area of particular concern is the need to reduce the incidence of stressed pigs during transport. Canada’s federal Health of Animals Regulations and Meat Inspection Regulations contain provisions for the protection of animals from undue suffering and injury during loading, transportation, and unloading, and while animals are at federally registered slaughter plants (1,2). In 2005 the Health of Animals Regulations were amended to clarify that non-ambulatory animals cannot be transported without undue suffering during the expected journey, except for veterinary treatment or diagnosis (3). Shortly thereafter, Canadian Food Inspection Agency (CFIA) veterinarians and inspectors began to raise concerns about stressed market pigs that are reluctant or refuse to move during or just after unloading at the slaughter plant, even though they are capable of standing. Pigs with no obvious injury, trauma, or disease that refuse to move, walk, or keep up with their contemporaries have been defined as fatigued pigs (4). They are in a state of metabolic acidosis with high blood lactate, low blood pH, and low bicarbonate values (5). These pigs exhibit any combination of increased body temperature, difficulty breathing, trembling, patchy skin discoloration, reluctance to move, recumbency, and in some cases death. Canadian Food Inspection Agency inspectors have observed that a number of pigs on the same trailer may arrive showing these signs or may become extremely distressed during or shortly after unloading. These extremely fatigued pigs are referred to as stressed pigs. The incidence is highest during hot weather. While action is taken at the slaughter plant to minimize animal suffering during and after unloading, improved on-farm preventive measures are needed. Although porcine stress syndrome is a known cause of this condition, it has been shown to occur in pigs that do not carry mutations in the porcine ryanodine receptor-1 (“halothane sensitivity”) gene (6,7). Other contributing factors at the farm may include nutrition and feed additives, feed withdrawal (8), health status, heavy market weights (9), facility design and mixing or pre-sorting (7,10,11), loading procedures and facilities (6,12–14), and high environmental temperatures and/or relative humidity (15). Combined stressors are likely to have a cumulative effect (6). The arrival of stressed pigs at Canadian slaughter plants is a growing concern with respect to animal welfare and humane transportation, in addition to the economic impact resulting from decreased carcass value or carcass loss and disposal costs. National data on the incidence of stressed pigs arriving at slaughter plants are not available. The annual percentage of pigs found dead on arrival at Canadian slaughter plants from 2003 to 2012 ranged from 0.07% to 0.08% (16). This equates to more than 14 000 pigs each year that are dead on arrival or that die shortly after unloading. Measures to prevent mortality may also help to reduce the incidence of stressed pigs on arrival at the slaughter plant.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,014 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».