EVALUATION OF VARIED DIETARY CRUDE PROTEIN AND LYSINELEVEL AT 5.7% OF CRUDE PROTEIN ON PRODUCTIVEPARAMETERS IN BROILER CHICKENS.
Bibliographic record
Abstract
An experiment was carried out to evaluate the performance of 1-18 d broiler chickens to dietary crude protein (CP) levels from 170 to 250 g CP/kg diet and the dietary lysine level formulated at 5.7% of CP level. Thus, the dietary lysine level of diets increased as CP increased. Body weight gain of chicks was affected at ages from 1 to 18 days by the CP and lysine levels. Birds fed the most protein diets at ages from 0 to 7 and 7 to 14 days were heaviest (P smaller 0.05) for dietary CP of 25 vs 19 and 17%. Increased body weight gain (0-18 d) (P smaller 0.05) was found with increasing dietary CP from 210 to 250 g CP/kg diet compared to lower CP levels. Dietary treatments had no effect on daily feed intake (g/b/d) when CP levels were 190 to 250 g CP/kg diet (P bigger 0.05). There was a reduced feed intake with dietary CP at 170 g CP/kg diet (P smaller 0.05). As dietary crude protein increased there was an increase of about 31% in carcass nitrogen deposition (mg/b/d) when chicks were fed diets from 210 to 250 g CP/kg diet compared to the lower CP diets (P smaller 0.05). A decrease in carcass fat deposition (g/b/d) was found as dietary CP increased from 170 to 250 g CP/kg diet. This study indicates that if lysine to CP ratio is kept constant at 5.7%, maximal productive performance of broiler chickens to 18 days can be achieved among 21 and 25% CP. Choosing among diets will depend mainly on cost of the dietary protein.
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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) | 0.000 | 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".