Effects of different heat stress periods on various blood and meat quality parameters in young Arbor Acer broiler chickens
Bibliographic record
Abstract
Tang, S., Yu, J., Zhang, M. and Bao, E. 2013. Effects of different heat stress periods on various blood and meat quality parameters in young Arbor Acer broiler chickens. Can. J. Anim. Sci. 93: 453–460. Heat stress can influence muscle metabolism and meat quality in animals reared for food production. From a commercial perspective, understanding the mechanism of this effect is clearly necessary. The aim of this study was to investigate the effects of different heat stress periods on serum metabolites and chicken meat quality (n=120). Plasma indicators creatine kinase (CK), glutamic-pyruvic transaminase (GPT), glutamic-oxaloacetic transaminase (GOT), insulin and glucagon and meat quality (pH, expressible moisture, cooking losses, shear force values) were evaluated. Compared with controls, the concentrations of CK and GPT increased (P<0.01) after 2 and 3 h of heat stress, respectively, whereas plasma insulin and glucagon decreased after 1 and 5 h of heat stress, respectively. The immediate pH (pHi) and ultimate pH (pHu) of the pectoralis muscles decreased (P<0.01) after 1 and 2 h of exposure to heat stress, respectively. Cooking loss, expressible moisture and shear force value increased (P<0.01) after 3, 2, and 1 h of heat stress, respectively. These data indicate that elevated plasma concentrations of CK and GPT can be used as parameters for assessing the stress level to which broilers are exposed before slaughter. The preslaughter exposure of broiler chickens to heat stress can alter muscle metabolism and membrane integrity, leading to undesirable meat characteristics. Thus, a clear understanding of the mechanisms underlying these processes will contribute to the determination of prevention strategies and the avoidance of the associated economic losses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".