Evaluation of the effect of β-mannanase supplementation and mannans on nursery pig growth performance and serum acute-phase protein concentrations
Bibliographic record
Abstract
The objective was to evaluate the effects of dietary mannan and β-mannanase supplementation on growth performance and serum acute-phase proteins in nursery pigs. Pigs (n = 480) were blocked by initial body weight (6.6 ± 0.4 kg), and 12 pens per treatment were randomly assigned to one of four treatments in a 2 × 2 factorial arrangement for 28 d. Two levels of dietary mannan (0.4% vs. 2.8%) were offered with and without 0.05% endo-1,4-β-mannanase. Serum was collected (one pig per pen) for haptoglobin and C-reactive protein (CRP) analysis on days 0 and 28. There were no significant interactions between mannan level and β-mannanase supplementation. High-mannan diet decreased average daily gain (P = 0.027) and average daily feed intake (P = 0.024) compared with low-mannan diets with no effect of β-mannanase (P > 0.10). Haptoglobin and CRP were not affected by mannan level or β-mannanase supplementation (P ≥ 0.160). Therefore, dietary β-mannans as high as 2.8% did not induce a systemic innate immune response. Thus, the levels of β-mannan found in practical diets (<2%) are unlikely to induce an immune response; therefore, supplementation of β-mannanase to avoid this response is not warranted.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".