Research Note: Effects of supplementing cranberry and blueberry pomaces on meat quality and antioxidative capacity in broilers
Bibliographic record
Abstract
Cranberry and blueberry pomaces are rich in antimicrobial and antioxidant compounds. They have been identified as potential antibiotic alternatives in animal feed, but their antioxidative capacity for maintaining or improving the meat quality in broilers is not well documented. This study was to determine whether cranberry and wild blueberry pomaces in diets could positively influence the broiler meat quality. A total of 3,150 broilers were randomly allotted to 10 dietary treatments with bacitracin methylene disalicylate, wild cranberry pomace (CRP) (0.5 and 1% of the basal diet), and wild blueberry pomace (BLP) (0.5 and 1% of the basal diet) alone or in combination with a mixture of feed enzymes. The results showed that supplementation with the CRP or BLP did not affect meat lightness and yellowness, while the deeper red meat (higher a∗ values) was observed in the birds receiving the diet containing 0.5% BLP against those in CRP treatments (P = 0.015). In addition, inclusion of CRP or BLP in the diet did not change meat texture and proximate composition (moisture, protein, fat, ash) irrespective of pomace concentrations. Although there were no obvious effects of CRP or BLP supplementation on meat antioxidant capacity and the incidence of myopathies (P > 0.05), the upward trend of antioxidant capacity and less severity of woody breast were observed in birds fed with 0.5% CRP. Furthermore, supplementation of 0.5 or 1.0% CRP without the enzyme resulted in higher mRNA levers of Nrf, Gpx2, and HO-1 (P < 0.05). Taken together, 0.5% CRP supplementation without the enzyme could potentially maintain meat quality and attenuate the severity of woody breast.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".