MétaCan
Menu
Retour à la cohorte
Enregistrement W1489963127

Broiler transportation in Saskatchewan

2005· article· en· W1489963127 sur OpenAlexfundaboutno aff
T.D. Knezacek

Notice bibliographique

RevueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2005
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAgriculture Sustainability and Environmental Impact
Établissements canadiensnon disponible
Organismes subventionnairesChicken Farmers of Saskatchewan
Mots-clésBroilerBusinessAnimal scienceBiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The thermal micro-environment of trailers transporting broiler chickens in Saskatchewan was investigated by recording temperature and relative humidity (RH) with data loggers. Initially, four cold weather journeys, where the ambient temperature ranged from -28.2 to -7.1°C, were conducted and conditions at the core of the trailer were monitored. Temperature variations were evident throughout the trailer and results demonstrated the potential for cold stress near air inlets and heat stress in areas with poor air circulation, particularly around the step in the trailer frame. The physiological effects of transportation on the birds were measured by taking rectal temperatures immediately before and after transportation and by introducing birds that had been previously implanted with devices for recording deep body temperature to selected modules. Body temperature recordings indicated the probability of hyperthermia and hypothermia developing while birds were transported. Mortality associated with the cold weather journeys was high and ranged from 0.7 to 1.4%. The need to distinguish between birds dying in transit (DOA) and birds dying in lairage, while awaiting slaughter (DOS), was revealed. Horizontal and vertical temperature and RH gradients were examined in 27 additional journeys where the ambient temperature ranged from -27.2 to 21.9°C. The RH sensors did not function in cold weather, but when the ambient temperature was above O°C, ambient RH ranged between 30 and 89%. Mean temperature lift, or the difference between ambient and on-board temperature recordings, was more pronounced during cold weather journeys with the curtains lowered compared to warm weather transportation with the curtains retracted. With both curtains lowered, open vent area affected mean temperature lift. With both curtains raised, the maximum temperature lift with the headboard and tailboard vents open was 2.5°C lower than with the front and rear vents closed. Apparent equivalent temperature (AET), indicating the effective temperature for broilers in transit, suggested that as ambient temperature dropped below O°C, more birds were exposed to potentially dangerous AET due to cold air entry on the trailer. At the same time, dangerous AET indicative of heat stress developed in the core of the trailer. As ambient temperature approached 16°C, AET values reflected safe conditions for transported broilers; however, as the ambient temperature surpassed 16°C, the potential for bird stress increased. Moisture on the trailer, primarily from bird respiration, contributed significantly to the AET experienced by the broilers. Mean DOA and DOS mortality was 0.14 and 0.28%, respectively, and dead birds were found distributed throughout the trailers. DOA losses were not affected by journey length, but both DOA and DOS mortality were affected by ambient temperature and stocking density. Ambient temperature below -16°C and a stocking density of 26 birds per crate significantly increased DOA and DOS values. However, high mortality losses associated with one cold weather journey, which was the only journey conducted at a stocking rate of 26 birds per crate, may have skewed the results. Despite higher than recommended levels at some facilities, atmospheric ammonia did not affect bird mortality. Although on-farm management can predispose birds to transportation stressors, the barns participating in this study were well managed and contained birds in good condition.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,101
Score d'incertitude au seuil0,204

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,004
Tête enseignante GPT0,149
Écart entre enseignants0,145 · 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 source (Gemma direct ou Codex distillé), 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
Publié2005
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueUniversity Library - University of Saskatchewan (University of Saskatchewan)Même sujetAgriculture Sustainability and Environmental ImpactTravaux en français237 207