Potential of Bacillus subtilis PB6 in corn-based diets to combat subclinical necrotic enteritis in broilers
Bibliographic record
Abstract
Bacillus-based probiotics and dietary enzymes have gained attention for supporting gut health, nutrient digestion, and intestinal integrity in poultry. This study evaluated the effects of Bacillus subtilis PB6 (Pb) and xylanase (Xy), individually and in combination, on the performance, intestinal lesions, and histomorphology of broiler chickens challenged with subclinical necrotic enteritis (SNE). A total of 630-d-old, mixed-sex Cobb 500 broilers were utilized in a 2 × 2 + 1 factorial arrangement of treatments: NE challenge without additives (CC); NE challenge with Xy at 0.03 % (Xy); NE challenge with Pb at 0.05 % (Pb); NE challenge with Xy at 0.03 % and Pb at 0.05 % (Xy+Pb); and, a non-challenge, additive free control (NC). In the pre-challenge period, birds in NC and CC groups were considered a control. A significant Xy × Pb interaction was observed for body weight gain (BWG) (P < 0.01) and FCR (P < 0.05) before challenge (d0-8). Pb efficacy for reducing FCR was significant without Xy supplementation, while Xy enhanced BWG without Pb (P < 0.01). During d9-19, all challenged birds showed reduced BWG (P < 0.05) and increased FCR (P < 0.05) compared to NC birds. During d20-35 and d0-35, Pb significantly improved FCR and reduced feed intake (FI) as the main effect among challenged birds (P < 0.05), equating the performance of NC birds (P > 0.05). NE challenge increased (P < 0.05) duodenal lesions in females but not males. A significant Xy × Pb interaction (P < 0.05) was observed for villus height (VH) and the VH to crypt depth (CD) ratio. Pb enhanced VH and VH/CD (P < 0.05) only when Xy was not supplemented. Furthermore, Pb-fed birds showed a trend towards increased villus surface area (VSA) (P = 0.067). In conclusion, Pb improves feed efficiency and mitigates the adverse effects of SNE-induced damage to intestinal health, while Xy enhances pre-challenge growth without augmenting Pb's benefits during NE.
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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 | 0.000 |
| 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".