Effects of calcium, phosphorus, and vitamin D on growing mink (<i>Mustela vison</i>)
Bibliographic record
Abstract
The present study investigated the effects of dietary calcium (Ca), phosphorus (P), and vitamin D (VD) supplements on growth performance, Ca:P digestion and metabolism, and serum biochemical indexes of growing male mink (Mustela vison) under conditions of a fixed 2:1 ratio of Ca to P. About 135 dark male mink were randomly assigned to nine groups. The experiment was conducted with a 3 × 3 (Ca:P × VD) factorial design using a corn–fish meal-based diet that contained 2.3% Ca, 1.15% P, and 2100 IU kg −1 VD. The supplementary Ca and P levels were 0%:0%, 0.4%:0.2%, and 0.8%:0.4% of the diets, respectively, whereas supplementary VD levels were 0, 2000, and 4000 IU kg −1 . The Ca and P dosage had a significant effect on growth performance of the mink (P < 0.05). The appropriate VD level, which was 4100 IU kg −1 , significantly improved protein utilization and Ca and P digestibility of growing mink (P < 0.05). In addition, excreta pollution to the environment was also significantly reduced (P < 0.05). In conclusion, Ca:P (3.1%:1.55%) and VD (4100 IU kg −1 ) had an important effect on growth performance and protein utilization in growing mink and could reduce environmental pollution by improving protein and P utilization.
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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".