Nutritional and physiological effects of rapeseed meal sinapine in broiler chickens and its metabolism in the digestive tract
Bibliographic record
Abstract
Abstract Research was completed to investigate the impact of dietary rapeseed meal (RSM) sinapine (SNP) on broiler chickens. The control treatment was based on a corn/soybean meal diet, as were six additional treatments which contained three levels of SNP bisulphate or semi‐purified SNP in the form of an ethanol extract concentrate. The last three treatments were corn‐based but soybean meal was replaced by graded levels of RSM at 15, 22.5 and 30% of the diet and thereby added SNP in its native form. SNP bisulphate and SNP ethanol extract did not affect feed intake and performance of broiler chickens. SNP bisulphate increased diet AME (apparent metabolisable energy) (P < 0.01) while SNP ethanol extract increased diet AME and faecal protein digestibility (P < 0.01 and 0.05 respectively) in comparison with the control diet. Dietary treatment caused minor effects on tissue measurements. All the diets containing SNP reduced the empty weight of caeca (P < 0.05 or 0.01), suggesting that the hind gut might be an important metabolic site for SNP. The ileal digestibility of SNP was 35–42, 27–38 and 30–46% for SNP bisulphate, SNP ethanol extract and RSM SNP respectively, while faecal digestibility values were 68–72, 65–75 and 54–63% for the same treatment groups. A major metabolic pathway of SNP via hydrolysis into sinapic acid and choline in the digestive tract was identified. Copyright © 2003 Society of Chemical Industry
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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 | 0.001 |
| 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".