PSVI-17 The organic feed additive Calica+ improves growth performance and shows anticoccidial effects in broilers
Bibliographic record
Abstract
Abstract Development of natural alternatives to drugs is necessary for the poultry industry not only for organic production, but also for limiting drug resistance and for complying with upcoming regulations. Two pen trials were conducted to evaluate the effect of Calica+, an activated vegetal oil from cashew nut shell liquid (CNSL), on broiler performance and on coccidiosis in different conditions. The first trial was conducted in Eimeria vaccination conditions with commercial Coccivac-B52. The second one was realized in Eimeria challenge conditions, induced by an oral administration of 200,000 sporulated oocysts of mixed Eimeria species harvested from field isolates. In Eimeria vaccination conditions trial, Calica+ improved average daily gain (ADG) (+4.5%, P < 0.05) during the overall growing period and decreased levels of oocysts per gram of feces (OPG) (−44.1%, P < 0.05), at Eimeria excretion peak (days 17–20), compared to untreated broilers. However, no significant effect of Calica+ on Eimeria intestinal lesions was observed. Overall ADG in Calica+-treated birds was not significantly different compared to nicarbazin-monensin anticoccidial medication (P = 0.8362) but showed higher feed conversion ratio (FCR; +6.0%, P < 0.05). In Eimeria challenge conditions trial, Calica+ feeding treatment improved ADG after infection, during the period from d20 to d36 of age (+4.4%, P < 0.05) compared to untreated birds. Compared with nicarbazin-monensin medication, Calica+-treated birds showed higher FCR (+3.5%, P < 0.05), but comparable ADG (P = 0.3145). Interestingly, birds fed the treatment with Calica+ showed a trend of increased plasmatic levels of IL-1ß compared to untreated broilers (+25.6%, P = 0.0676), suggesting an immune activation as a potential mechanism of action for Calica+. In summary, Calica+ showed beneficial growth performance and anticoccidial effects in these two different trial conditions. This feed additive could be involved in a strategy to reduce the use of anticoccidial medication in broiler production.
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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".