The response in jejunal and ileal nutrient and energy digestibility and the expression of markers of intestinal inflammation in broiler chickens to coccidial vaccine challenge and phytase supplementation
Bibliographic record
Abstract
The objective of this study was to determine the effect of phytase supplementation and coccidial vaccine challenge (CVC) on jejunal and ileal nutrient and energy digestibility and the expression of genes of some markers of inflammation and nutrient transporters in broilers. Ross 708 broilers (384 males) were randomly assigned to six treatments in a factorial arrangement with two levels of CVC (0× or 25×) and three levels of phytase [0, 1000, or 5000 phytase units (FTU) kg−1 diet] with eight birds per pen and eight replicates per treatment. On day 42 post hatching, 192 birds received no challenge (NCH) or challenged (CHA) with 25× coccidial vaccine. Birds received the experimental diets from day 49 post hatching until day 55. Jejunal dry matter and energy digestibility decreased (P < 0.05) with CVC, but phytase supplementation increased (P < 0.05) nitrogen (49.1%–55.2%) and phosphorus (18.0%–58.3%) digestibility. Ileal nitrogen and P digestibility increased (P < 0.05) with phytase supplementation. In the jejunum, CVC (P = 0.053) and phytase (P = 0.063) showed a tendency to decrease the expression of active sodium-dependent phosphate transporter. The results from this study show that the interaction between CVC and phytase resulted in higher feed efficiency (at the level of 5000 FTU), lower jejunal dry matter digestibility (DMD), and digestible energy (at the level of 1000 FTU). Also, older broilers, especially those with gastrointestinal tract inflammation (CHA), may benefit more from phytase super dosing compared with the NCH birds.
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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 | 0.001 | 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".