Increasing amylose content of starch stimulates fermentation and is bifidogenic in weaned pigs
Bibliographic record
Abstract
Weaning causes digestive disorder in pigs primarily due to unstable gut microbiota. Increasing dietary amylose increases substrate available for microbial fermentation. Weaned pigs ( n = 32) were allocated to 1 of 4 diets containing 67% starch with 0, 20, 28 or 63% amylose, respectively, for 21 days. In colonic digesta, Bacteroides increased ( P < 0.05) with 63% amylose compared to 20 and 28%. Bifidobacteria spp. increased ( P < 0.05) and Clostridium clusters IV and XIVa decreased ( P < 0.01) with 63% amylose in cecal and colonic digesta. Lactobacillus decreased ( P < 0.05) in cecal and colonic digesta with 28% amylose compared to 0, 20, and 63%. Total VFA concentration in cecal and colonic digesta increased ( P < 0.01) with 63% amylose. Propionate concentration in cecal digesta increased ( P < 0.01) with 63% amylose. Acetate and propionate concentration in colonic digesta increased ( P < 0.01) with 63% amylose. pH decreased ( P < 0.01) in ileal, cecal and colonic digesta with 63% amylose. Villus height and crypt depth were not affected by amylose content. Increasing amylose content can modulate gut microbial profiles, VFA concentrations, and pH that may play a protective role against pathogenic bacteria. Grant Funding Source : Canadian Swine Research and Development Cluster, Danisco, Provimi
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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".