Effects of Supplemental Phytase and Xylanase on Phytate Phosphorus Degradation, Ileal Protein and Energy Digestibility of a Corn-soybean-wheat Bran Diets in Broiler Chicks.
Bibliographic record
Abstract
Effects of supplemental phytase and xylanase in a corn-soybean meal based diet containing 250 g/Kg wheat bran, were investigated. on broiler performance and phosphorus degradability and nitrogen digestibility. Phytase (500 and 1000 FTU) and xylanase (2700 and 5400 EXU) individually and in combination were added to the basal diet and given to 6 replicate groups (4 birds per replicate). At 21 days of age, birds were weighed and killed , ileal contents were collected and analyzed for P, N, chromic oxide and gross energy. Added phytase significantly (P<0.01) improved feed conversion ratio (FCR) (1.59 vs 1.62 g /g) and tibia ash (464.4 vs 444.3 g/Kg). Protein digestibility was increased (81.7 vs 79.4%) significantly (P<0.01) by 500 FTU/Kg added phytase. Supplemental xylanase significantly (P<0.01) improved FCR (1.58 vs 1.63 g/g) and protein digestibility (82.0 vs 80.4%). Phytate P degradability was significantly (P<0.02) improved by added phytase (41.4 vs 27.8%). Combination of supplemental phytase and xylanase had some beneficial effects on improving the nutritive value of diets containing wheat bran for broilers.
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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) | 0.001 | 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) | 0.000 | 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 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".