514 Late-Breaking: Effects of Feeding a High Canola Meal-containing Diet and Multi-carbohydrase Supplementation on Growth Performance and Intestinal Ecology of Piglets
Bibliographic record
Abstract
Abstract The objective was to investigate the effects of a high canola meal-containing diet and multi-carbohydrase supplementation on growth performance and intestinal pH, short-chain fatty acid (SCFA) profile, and microbiome in weaned piglets. Twenty-four piglets (7.46 ± 0.23 kg BW) were individually assigned to 1 of 3 diets in a completely randomized design. Diets were fed for 21 d: SB, corn and soybean meal-based diet; CM, 25% canola meal substituting soybean meal and adjusted to meet energy and nutrient requirements of piglets (NRC, 2012); and CM+E, CM supplemented with multi-carbohydrase (0.01%). Feed disappearance and BW were recorded weekly. On d 21, piglets were euthanized to assess digesta pH, SCFA profile, and gut microbiome. Data were analyzed using the MIXED procedure of SAS using the piglet as the experimental unit. There were no differences (P > 0.10) in growth performance and digesta pH. Piglets fed CM+E tended to (P = 0.051) or had significantly lower (P < 0.05) butyric acid in the cecum than piglets fed CM and SB, respectively. Piglets fed SB had higher (P < 0.05) isobutyric acid in the colon than piglets fed CM+E. Piglets fed SB and CM tended to have higher (P < 0.05) isovaleric acid in the colon than piglets fed CM+E. Piglets fed SB tended to have lower (P < 0.10) proportion of Bifidobacteria, and had lower (P < 0.05) Enterobacteriaceae, Enterococcus, and Lactobacillus than piglets fed CM. Piglets fed CM+E tended to have lower (P < 0.10) Bifidobacteria and higher Clostridium XIVa than piglets fed CM, and had lower (P < 0.05) Enterococcus, but higher (P < 0.05) Lactobacillus than piglets fed CM. In conclusion, feeding 25% of canola meal in substitution to soybean meal with or without multi-carbohydrase supplementation changed the intestinal environment by modifying SCFA profile and relative proportion of microbiome, but without affecting digesta pH or growth performance in nursery piglets.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".