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Record W1489963127

Broiler transportation in Saskatchewan

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

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsnot available
FundersChicken Farmers of Saskatchewan
KeywordsBroilerBusinessAnimal scienceBiology
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.149
Teacher spread0.145 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes2
Has abstractyes

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