Physiological and Immunological Effects of Rosemary Essential Oil in Growing Rabbit Diets
Bibliographic record
Abstract
The efficacy of rosemary essential oil (REO), as feed additive, on growth and blood constituents of growing New Zealand White (NZW) rabbits was evaluated. Thirty six NZW were distributed into four groups: 1 control and 3 treated groups. The control was fed the basal diet, while feeds of other treatments were fortified with 0.25, 0.50 and 0.75 g/kg REO for groups 2, 3 and 4, respectively. The criteria of response were growth performance, carcass traits, blood glucose, plasma lipids, immunoglobulins, total antioxidant capacity (TAC), malondialdehyde (MDA) and testosterone concentrations. Results revealed that REO supplementation had no critical impacts on growth performance, carcass yeild or blood glucose. Rabbits recieving dietary REO exhibited lower lipid profile and higher immunoglobulins A than those of the control. The treated rabbits displayed significantly higher TAC than the basal group with the best reaction for those fed G3 diet. In a similar way, MDA was reduced essentially by including REO. There was a significant increase in testosterone levels due to added REO. The present results indicate that supplemental REO at 0.5 g/kg of diet has a beneficial impact on lipid profile, immunity and antioxidant status of rabbits.
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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) | 0.000 | 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".