Effects of dietary supplementation of exogenous multi-enzyme mixture containing carbohydrases and phytase on growth performance, energy and nutrient digestibility, and selected mucosal gene expression in the small intestine of weanling pigs fed nutrient deficient diets
Bibliographic record
Abstract
Effect of carbohydrases and phytase supplementation on growth performance, nutrient utilization and gut health of nursery pigs was evaluated. Pigs were blocked by body weight (BW) and sex and allocated to four treatments. Treatments were a positive control (PC), a negative control (NC) deficient in metabolizable energy (ME), crude protein (CP), Ca, and non-phytate P (nPP), NC plus Rovabio® Max AP enzyme mix, at 0.05 and 0.075 g kg−1. Apparent total tract digestibility (ATTD) was determined in faecal samples. Apparent ileal digestibility (AID) was determined in ileal digesta samples collected after euthanasia. Lower final BW and average daily gain (ADG) (P < 0.05) were observed in NC compared with PC. Enzyme at 0.05 g kg−1 increased (P < 0.05) BW on d 14 and d 41, respectively, and also increased ADG. Enzyme at 0.075 g kg−1 increased BW on d 14 and ADG on d 0 to d 14 (P < 0.05). Feed efficiency [gain to feed ratio (G:F)] was greater (P < 0.05) in PC than NC from d 15 to d 41 and from d 0 to d 41. No difference in G:F was observed with enzyme supplementation. Higher (P < 0.05) serum Ca and bone ash were observed in PC than NC. Enzyme increased the ATTD of Ca and P (P < 0.05) compared with NC.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".