Effects of dietary <i>Pleurotus geesteranus</i> stem supplementation on growth performance, anti-inflammation activity, intestinal function, and meat quality in pigs
Bibliographic record
Abstract
The study evaluated the effects of Pleurotus geesteranus stem (PGS), an agricultural waste rich in bioactive components, on pig growth, antioxidant status, anti-inflammatory responses, short-chain fatty acid (SCFA) production, fecal microbiota, intestinal function, and meat quality across different stages. In Exp. 1, 108 weaned piglets (7.80 ± 0.41 kg) were randomly assigned to three dietary treatments: control (basal diet), 1.5% PGS, and 3% PGS. In Exp. 2, 108 growing–finishing pigs (76.97 ± 5.91 kg) were subjected to the same treatments. Results showed that diets supplemented with PGS increased the average daily gain ( P < 0.05) and fecal total SCFA contents ( P < 0.05) of piglets. PGS supplementation reduced serum interleukin-6 (IL-6) content ( P < 0.05) and fecal Escherichia coli counts ( P < 0.05) in piglets. The PGS addition could enhance ileal mucosal mucin 1 and mucin 2 expression ( P < 0.05), decrease drip loss ( P < 0.05), and increase pH45 min value ( P < 0.05) of longissimus dorsi muscle (LDM), and downregulate ACC expression ( P < 0.05) in LDM of growing-finishing pigs. Overall, PGS supplementation positively influenced growth performance, inflammation control, SCFA production, intestinal health, and meat quality.
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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) | 0.001 | 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".