Ileal digestibility of amino acids for zero-tannin faba bean (Vicia faba L.) fed to broiler chicks
Bibliographic record
Abstract
An experiment was conducted to determine the apparent ileal digestibility (AID) of amino acids (AA) in zero-tannin faba beans (ZFB; Vicia faba L.) fed to broiler chicks. In total, 120 broiler chicks were divided into 24 groups of 5 birds that were balanced for BW and fed 1 of 3 diets in a completely randomized design (8 groups/diet) from d 14 to 21 of age. The diets were a soybean meal-cornstarch-based basal diet or the basal diet with soybean meal and cornstarch replaced by 50% of either conventional (tannin-containing) faba beans (CFB) or ZFB. The CFB were fed for comparison with ZFB. All of the 3 diets contained chromic oxide (0.3%) as an indigestible marker, and nutrient digestibilities were determined by the difference method. On d 21, the birds were killed by cervical dislocation and contents of the lower-half of the ileum were obtained for determination of apparent AA digestibility. The CFB and ZFB were similar in CP, AA, neutral detergent fiber, and acid detergent fiber contents. The ZFB did not contain tannins, whereas the CFB contained 0.82% tannins. The ZFB had greater (P < 0.05) AID for all AA (except Met) compared with that of the CFB by an average of 12.6 percentage points. The 2 faba-bean types were similar in AID of Met. The results show that the ZFB evaluated in the current study had greater AID of AA than CFB, and hence, it may be a better source of protein for broiler chicks than CFB.
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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 | 0.001 | 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".