Nutritive value of cold-pressed camelina cake with or without supplementation of multi-enzyme in broiler chickens
Bibliographic record
Abstract
The objectives were to determine the standardized ileal digestibility (SID) of amino acids (AA) and AMEn value of cold-pressed camelina cake (CPCC) and the effect of adding multi-enzyme to a corn-CPCC diet for broilers. The 600 male broiler chicks were divided into 40 groups and fed 5 diets in a completely randomized design (8 groups per diet) from d 15 to d 21 of age. A corn basal diet and the basal diet with 30% of it replaced by CPCC were used in a 2 × 2 factorial arrangement with or without multi-enzyme (2,800 U of cellulase, 1,800 U of pectinase, 400 U of mannanase, 50 U of galactanase, 1,000 U of xylanase, 600 U of glucanase, 2,500 U of amylase, and 200 U of protease/kilogram of diet; Superzyme OM, 1 g/kg). The fifth diet was N-free. The corn basal diet was fed to determine nutrient digestibility and retention for CPCC by substitution. The N-free diet was fed to estimate basal endogenous AA losses for determining SID of AA. Diets contained TiO2 as indigestible marker. On a DM basis, CPCC contained 39.8% CP, 38.3% neutral detergent fiber, 12.7% ether extract, 1.89% Lys, 0.70% Met, 1.56% Thr, and 0.45% Trp. The SID of Lys, Met, Thr, and Trp for CPCC were 76.5, 85.5, 72.8, and 84.1%, respectively. The AMEn value for CPCC was 1,671 kcal/kg of DM. Multi-enzyme supplementation increased (P < 0.05) the SID of Met and Thr and the AMEn value of the corn-CPCC-based diet by 1.4, 1.3, and 3.0%, respectively. The multi-enzyme increased (P = 0.026) the AMEn value of CPCC from 1,671 to 1,941 kcal/kg of DM. In conclusion, the CPCC evaluated in the present study can be included in poultry diets as a source of energy and AA. Multi-enzyme supplementation increased the AMEn value of CPCC for broilers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".