216 Effect of Dietary L-valine Supplementation on Growth Performance, Immune Response, and Microbial Metabolites in Weaned Pigs Raised in Varying Sanitary Conditions
Bibliographic record
Abstract
Abstract This study investigated the effects of dietary L-valine supplementation and sanitary conditions on growth performance, immune response, and microbial metabolites in weaned pigs. Thirty-two weaned pigs (6.98 ± 0.47 kg) were randomly assigned to treatments in a 2 × 2 factorial arrangement based on dietary Val level and sanitary condition (clean or unclean). The pigs were fed either a basal diet containing the standard levels of Val suggested by NRC (2012) or the basal diet with an additional 0.1% of L-Val. A room designated as the clean room was washed weekly, whereas the designated unclean room was not washed throughout the experiment and 5 kg of manure from the nursery pig barn was spread on the pen floors on day 1. All data were analyzed using a mixed procedure of SAS, with the individual pen as the experimental unit. The pigs raised in unsanitary conditions exhibited a lower average daily gain and average daily feed intake and a higher incidence of diarrhea than those raised in sanitary conditions during the 14-day experimental period (P < 0.05). The pigs in the unclean group also had a lower concentration of butyrate in the jejunum and a higher concentration of ammonia-N in the colon than those in the clean group (P < 0.05). Dietary valine supplementation reduced plasma interleukin (IL)-1α and IL-1 receptor antagonist concentrations as well as isovalerate and ammonia-N concentrations in the colon (P < 0.05). Interactions between dietary Val supplementation and sanitary conditions were observed in the abundance of mRNA-encoding β-defensins 113, 125, and 129 (P < 0.05). In conclusion, dietary Val supplementation beneficially modulates inflammatory response and microbial metabolites regardless of sanitary condition, while transcriptional levels of β-defensins are regulated by dietary Val supplementation in a manner dependent on housing hygiene conditions.
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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 | 0.001 | 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".