Postmortem muscle proteomics reveals breed specific responses to environmental enrichment and broiler meat quality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The meat industry faces growing pressure to adopt sustainable and welfare-friendly practices. This study used mass spectrometry-based proteomics to examine the effects of genetics and on-farm environmental enrichment on broiler performance and meat quality. Slower-growing (SG; Hubbard S757N) and faster-growing (FG; Hubbard JA787) broilers were raised in enriched and non-enriched environments within higher-welfare systems. The SG broilers showed higher expression of detoxification and cytoskeletal proteins, supporting robust muscle architecture, higher protein content and reduced moisture retention. Enriched environments further enhanced immune function, metabolic resilience and physical health in SG broilers. Conversely, FG broilers prioritised anabolic pathways, driving rapid muscle growth and intramuscular fat accumulation. Growing in enriched conditions led to reduced breast yield in FG broilers, likely due to higher proteasome activity. These findings highlight the importance of breed-specific strategies to support sustainable farming, as only SG broilers benefited from environmental enrichment, potentially improving meat quality while supporting welfare outcomes.
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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 | 0.000 | 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) | 0.000 | 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 it