Lysine requirements of young broiler chickens are affected by level of dietary crude protein
Bibliographic record
Abstract
Growth and body nitrogen and fat deposition in response to dietary lysine were assessed in chicks to 21 d of age when fed dietary crude protein (CP) at 170, 210, 250 or 290 g kg-1 diet. Response variables were evaluated using linear and quadratic regression, and linear-plateau models. In all cases, a better fit was observed with quadratic regression and linear-plateau models. Weight gain, F:G, and body nitrogen and fat deposition plateaued as dietary lysine was increased regardless of CP. Lysine requirements for weight gain to 21 d were significantly different when comparing 170 vs. 210 and 210 vs. 250 g CP kg-1 diets, although no differences were found when 250 and 290 g CP kg-1 were fed. Feed efficiency and body nitrogen responded in a similar manner to diet CP and lysine levels. Dietary lysine requirement increased as CP increased (170 vs. 210, and 210 to 250 g kg-1), although lysine requirement was unaffected when 250 or 290 g CP kg-1 diets are used. The requirements for lysine at low CP levels are better expressed as a percentage of CP. However, when dietary CP intake no longer limits growth, lysine needs should be specified as a diet percentage. Key words: Lysine, broiler chickens, nitrogen
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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) | 0.000 | 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) | 0.001 | 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".