Gastrointestinal ecology response of piglets’ diets containing non-starch polysaccharide hydrolysis products and egg yolk antibodies following an oral challenge with <i>Escherichia coli</i> (k88)
Bibliographic record
Abstract
The gastrointestinal ecology (GE) of piglets fed diets containing non-starch polysaccharide hydrolysis products (HP) and egg yolk antibodies against K88 fimbriae (EYA) following oral challenge with enterotoxigenic Escherichia coli K88 (ETEC) was investigated. The HP were products of incubating feedstuffs with a blend of carbohydrase enzymes. Forty, 21-d-old pigs (two pigs/pen) were assigned to four diets to give five pens per diet. The diets were: a control fed without or with 5 g kg-1 of HP and EYA either singly or in combination forming a 2 × 2 factorial arrangement. Following a 9-d adaptation period, all pigs were orally challenged with ETEC and killed at 24 and 48 h post-challenge (one pig/pen on each occasion). Feeding HP increased pre-challenge average daily gain (252 vs. 207 g d-1; P = 0.01). An interaction (P < 0.10) between EYA and HP was observed such that when fed in combination they resulted in higher ileal digesta lactic acid and cecal DM contents and lower ileal digesta ammonia. The main effects (P < 0.05) were such that pigs fed EYA-diets had shorter intestinal crypt whilst pigs fed HP-diets showed low gastric pH and high ileal mucosal adherent lactobacilli counts. In conclusion, HP and EYA influenced indices of fermentative characteristics and intestinal morphology in the gastrointestinal ecology of piglets orally challenged with enterotoxigenic E. coli (k88).Key words: Egg yolk antibodies, ETEC, gastrointestinal ecology, non-starch polysaccharides hydrolysis products, piglet
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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) | 0.002 | 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".