Effect of extra dietary vitamin E on preventing nutritional myopathy in broiler chickens
Bibliographic record
Abstract
Nutritional myopathy in broiler chickens is a condition that is generally asymptomatic but leads to a loss of meat quality. This condition could sometimes be associated with suboptimal or deficient levels of vitamin E (VE) in the diet. The objectives of this study were to assess the effect of extra dietary VE in a commercial diet on muscle integrity and to determine an efficient diagnostic test for early detection of muscle damage, to subsequently adjust VE levels in the diet. One-day-old male broiler chicks were randomly assigned to 2 diet treatments: a commercial diet in which up to 50 mg/kg of VE was added, or a commercial diet with no extra VE. At 28, 35, 42, and 49 d, blood samples were taken to measure plasma VE and creatine kinase (CK) activity. Both pectoralis superficialis and adductor magnus muscles were sampled for histological examination, and degenerated fibers were counted. Plasma levels of VE were higher in chickens from the test group (P = 0.001), whereas CK activity was not different between groups (P = 0.20). Less damaged fibers were also observed in the pectoral muscle at 28 d in chickens receiving the diet supplemented with extra VE. Therefore, adding VE to the conventional diet increased plasma VE and mildly decreased the number of damaged fibers in the pectoral muscle of young broilers. Blood CK activity was not a reliable biochemical indicator of mild muscle degeneration in broiler chickens.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".