Digestibility responses of growing pigs fed corn plus corn distiller grains or wheat plus wheat coproduct-based diets without or with supplemental xylanase
Bibliographic record
Abstract
We evaluated efficacy of xylanase (X) on apparent ileal (AID) and total tract digestibility (ATTD) of energy, nutrients, and fiber in growing pigs fed corn- or wheat-based diets. The corn diets had 40% corn DDGS and wheat diets had 25% wheat middlings. Diets were fed without or with 2,000 X U/kg to individually housed ileal cannulated growing barrows (n=6). All diets contained phytase (500 FTU/kg) and celite (0.3%) as indigestible markers. Pigs were fed a daily amount of feed equivalent to 3% of BW, equally divided into 2 feedings at 0800 and 1600 h. The experiment lasted for 9 d: 5 d for adaptation, d 6 and 7 for fecal samples, and d 8 and 9 for ileal digesta sample collection. Interaction between diet and X was only observed for the neutral detergent fiber (NDF) digestibility such that X improved ATTD (P = 0.04) of NDF in corn diets only. Xylanase effects were observed for digestible energy (DE) such that pigs fed X had higher DE (3,732 vs. 3,644 kcal/kg, P = 0.04) that corresponded to higher AID (P < 0.05) of nitrogen and fat than non-X-fed pigs. Generally, wheat diets had higher (P < 0.05) AID of DM, nitrogen, and NDF than corn diets. Although diet type impacted digestibility, xylanase improved DE independent of diet types as a result of improved nutrients digestion in the ileum.
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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".