Impact of low crude protein diets containing animal byproducts on growth performance, nitrogen excretion, meat yield, and quality in broiler chickens
Bibliographic record
Abstract
This study examined the impact of a low crude protein (CP) diet incorporating meat and bone meal (MBM) as an alternative (AD) to standard diet, on broiler performance, nitrogen intake, excretion, and meat quality. A total of 846 male Ross 308 chicks were assigned to two diets in a randomized complete block design with 9 replicates of 47 birds/replicate. The diets were a plant-based control (20.4% and 19.5% CP) and an AD (−2.0% CP, +2.5% MBM) in the grower and finisher phases. Compared to the control, the AD reduced nitrogen intake ( P = 0.01) and excretion ( P < 0.01) while improving nitrogen retention efficiency ( P < 0.001) without affecting body weight, feed conversion, or carcass yield. Breast yield was higher in the AD group ( P < 0.001). The ultimate pH of breast meat increased slightly ( P = 0.07), cooking loss decreased ( P = 0.002), sarcoplasmic protein solubility tended to increase ( P = 0.09) in the AD group, while muscle protein emulsifying properties remained unchanged. Breast meat proximate composition was not affected by the AD. In conclusion, the alternative diet can reduce nitrogen loss and emissions without negatively impacting broiler production, provided that amino acid requirements are met.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".