Implementing reduced-protein diets for broiler chickens in emerging economies: supplementation with only the first three limiting amino acids
Bibliographic record
Abstract
This study evaluated the effects of reduced-protein diets supplemented with only the first three limiting amino acids (AAs); methionine, lysine, and threonine, on broiler performance, profitability, and nitrogen (N) utilization. Two hundred Cobb-500 broiler chicks were assigned to four dietary treatments in a Completely Randomized Design: a control diet and three reduced crude protein (CP) diets (-1PP, -2PP, -3PP). Diets contained CP levels of 21%, 20%, 19%, 18% during grower (14-28d) and 19.5%, 18.5%, 17.5%, 16.5% during finisher (28-42d) phases. Broilers on up to 2% CP reduction exhibited similar (P < 0.05) or superior growth performance and feed conversion ratio compared to 3% CP reduction. Gross margin was highest (P < 0.05) with up to 2% CP reduction but declined with further reduction. Carcass traits and breast yield decreased (P < 0.05) with CP reduction, though meat quality was unaffected. N intake and retention decreased (P < 0.05), while excretion and other N utilization parameters were unchanged. Nutrient digestibility remained consistent, but apparent metabolizable energy increased (P < 0.05) as dietary CP decreased. These findings indicate that reducing dietary CP by up to 2%, supplemented with the first three limiting amino acids, maintains growth performance, profitability, and meat quality. This approach also reduces environmental N emissions and offers a cost-effective strategy for developing economies compared to reduced-protein diets with additional amino acid supplementation.
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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".