Effects of dietary vitamin E on the growth performance, antioxidative status, and some immunological blood parameters in growing mink (<i>Mustela vison</i>) fed dry feed
Bibliographic record
Abstract
Ninety standard dark male minks (8 wk of age) were used to investigate the effects of vitamin E (VE) supplementation on growth performance, antioxidative status, and some immunological blood parameters. The dietary treatments included a basal diet (containing 20.86 mg kg−1 VE) supplemented with 0 (control), 50, 100, 200, 400, or 800 mg kg−1 VE. The results showed that VE supplementation of 200–400 mg kg−1 increased (P < 0.05) the body weight, average daily feed intake, average daily gain, and gain to feed ratio of the mink from days 1 to 30. At days 30 and 60, the minks fed diets supplemented with 400 mg kg−1 VE had higher (P < 0.05) concentrations of serum superoxide dismutase, glutathione peroxidase, and catalase than either the control or the VE50 groups but had activity levels similar to those of the VE200 and VE800 groups. Feeding a high dose of VE (400–800 mg kg−1 diet) resulted in a significant increase in the concentrations of α-tocopherol and a reduction in the reactive oxygen species content in the serum. Vitamin E supplementation of 200–400 mg kg−1 increased (P < 0.05) the concentrations of immunoglobulin G, interleukin-2, and soluble CD4/soluble CD8 and decreased (P < 0.05) the content of soluble CD8 in the serum. Overall, the suitable level of VE supplementation was found to be 200–400 mg kg−1 diet for growing mink.
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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) | 0.000 | 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 | 0.001 |
| 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".