Effects of cold exposure on physiology, meat quality, and behavior of turkey hens and toms crated at transport density
Bibliographic record
Abstract
The impact of cold exposure while crated at a density characteristic of transport (83 kg/m2) was assessed in 12-wk-old turkey hens and 16-wk-old toms. Turkeys (72 toms, 72 hens) were randomly divided into 3 male and 3 female groups: 2 moderate 20°C groups with either 30% or 80% RH and a cold group exposed to -18°C, with uncontrolled, high RH. Groups of 8 birds (one replicate unit) were observed in a climate-controlled chamber for 8 h prior to slaughter. Core body temperature (CBT), live shrink, heterophil-lymphocyte ratio (HLR), and change in blood glucose levels were assessed; meat quality measures included thigh and breast muscle pH and L*, a*, and b* color values. Significance was declared at P ≤ 0.05. Live shrink in hens exposed to -18°C (2.8%) was greater (P = 0.001) than those in the 20°C treatments (1.5%). CBT in hens had a tendency to decrease (P = 0.070); no differences in Δ blood glucose or HLR were detected. Thigh pH was higher in the -18°C treatment (hens: 6.39; toms: 6.08) than in both 20°C groups. Color values (L*, a*, and b*) were measured 27 h postmortem. In the -18°C exposed hens, breast L* values were lower, and thigh a* and breast b* values were higher than in both 20°C treatments. No differences were detected in live shrink, CBT, HLR, or color values among toms. Behavior differences were noted between treatments; more time was spent huddling, shivering, preening, and with feathers ptiloerected in cold-exposed turkeys. Generally, cold exposure resulted in higher live shrink, darker meat with greater redness, and a tendency for CBT and blood glucose to decrease, with larger male turkeys experiencing fewer changes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".