PSII-16 Enterid Reduced <i>E. Coli</i> Colonization in the Gastro-Intestinal Tract of Young Pigs
Bibliographic record
Abstract
Abstract The aim of the present study is to assess the impact of Enterid feed additive (PMI Additives) on the health status of newly-weaned pigs challenged with Enterotoxigenic E. coli (F4/K88). Seventy-two newly-weaned piglets of mixed sex were weighed and sorted into groups of 12 pens (3 gilts and 3 barrows each pen). Each pen was then randomly assigned into 1 of 3 treatments, consisting of a non-challenged group (NC), E.coli-challenged group (ETEC), and ETEC supplemented with 0.10% Enterid. Pigs were treated with Baytril upon arrival and were provided their respective diets and water ad libitum. All pigs except NC were challenged with F4/K88 strain 181016 E. coli on d 10 and d 11. Clinical observations (fecal scores, respiration rate, appetite, attitude, edema), rectal temperature and E. coli shedding were measured daily beginning on d9 until the end of the study (d 20). Clinical outcomes were analyzed using Mixed procedure in SAS following a completely randomized design with initial weight as covariate and day post challenge as a repeated measure parameter. Clinical measurements, except fecal scores, were all rated normal and so were not analyzed statistically. There were no differences among treatments in E. coli shedding prior to the challenge (2.3 log cfu/ml, P > 0.20). Immediately post challenge, however, E. coli shedding for the ETEC increased by 12 log (14.4 log cfu/ml, P < 0.05) and remained elevated for 4-5 d. Supplementation with Enterid resulted in a 2-log reduction in E. coli shedding during the first 3 d post-challenge (P < 0.10) and returned to pre-challenge level after 5 d. No clear differences in rectal temperature were observed among treatments. E. coli challenge resulted in poorer fecal quality (d3-5, P < 0.05), with Enterid not influencing the response (P > 0.20). The current results support the ability of Enterid to reduce E. coli colonization in the gut of pigs challenged with E. coli.
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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) | 0.002 | 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".