Protection Effect of Vaxxitek HVT + IBD Vaccine Against Infectious Bursal Disease in Broiler Chickens
Bibliographic record
Abstract
The very virulent infectious bursal disease virus (vvIBDV) infection cause constant and frequent outbreaks of IBD. In order to prevent the disease caused by vvIBDV, moderate-virulent live vaccines are usually used in broilers, but these vaccine influence the immune system of chickens and cause the immunosuppression. VAXXITEK® HVT+IBD bivalent vaccine, a novel vaccine produced by Merial Company, is the recombinant vaccine generated by inserting IBDV VP2 gene into the HVT genome. The recombinant vaccine could prevent Mareks disease and IBD of chickens at the same time after vaccinated by the subcutaneous route at 1-day-old. The objective of this study was to evaluate protection effect of this new vaccine against IBD in broilers. The results of the lab and field immunization trial showed that the vaccination of VAXXITEK® HVT+IBD vaccine did not damage the bursa of broilers; the level of IBD antibody of the VAXXITEK® HVT+IBD vaccination groups was higher than IBD-BLEN® vaccination groups at 21-day-old; the protection effect of the VAXXITEK® HVT + IBD vaccination groups was better than IBD-BLEN® vaccination groups, especially at 21-28 day. The results indicated that VAXXITEK® HVT + IBD vaccine could provide better protection to broiler chickens against IBD.DOI: http://dx.doi.org/10.3329/pa.v24i1-2.19102 Progress. Agric. 24(1&2): 69 - 78, 2013
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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 | 0.000 | 0.000 |
| 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".