260 Growth Performance and Gut Integrity of Nursery Pigs Fed Diet with butyric Acid and Enzymatically Hydrolyzed Yeast Product
Bibliographic record
Abstract
Abstract The objective of this study was to evaluate the effects of butyric acid (BA) and enzymatically hydrolyzed yeast product (EYP) on growth performance and gut health of nursery pigs. A total of 96 weaned pigs (initial body weight = 6.60 kg) were housed in 24 pens (4 pigs/pen) and fed 3 diets in a randomized complete block design. The diets were corn-soybean meal-based without or with 0.05% BA or 0.1% EYP. The diets were fed in 2 phases; Phase 1: d 0 to 7 and Phase 2: d 7 to 20. Growth performance and fecal score were determined by phase. One pig from in each pen was selected for measuring organ weights, gut permeability, and electrophysiological parameters of jejunum mounted in Ussing chambers. The selected pigs were sacrificed at a rate of 6 pigs (balanced for diets) per day from d 10 to 17. Dietary BA increased (P < 0.05) gain to feed ratio for d 7 to 20 by 5.8% and for entire study period by 15.8%. Fecal scores were unaffected by dietary BA or EYP. Dietary EYP increased (P < 0.05) weight of cecum as a proportion of live body weight by 36.4%. Dietary BA decreased (P < 0.05) the flow of fluorescein isothiocyanate-dextran from mucosal to serosal side of jejunum by 31.7%, implying that dietary BA reduced jejunal permeability. Jejunal short circuit current was decreased (P < 0.05) by dietary BA or EYP. However, jejunal trans-epithelial electrical resistance was unaffected by dietary BA or EYP. In conclusion, dietary BA improved feed efficiency and reduced jejunal permeability to fluorescein isothiocyanate-dextran, implying that it can improve the gut health of weaned pigs through reduced jejunal permeability to toxins. Dietary EYP increased caecum weight, implying that it can improve hindgut fermentation in weaned pigs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".