36 Impact of feeding different selenium (Se) sources to pregnant and lactating ewes on lamb Se enrichment and serum biochemistry profiles
Bibliographic record
Abstract
Abstract Abstract: Introduction Global pre-weaning lamb mortalities have remained above 10%, a detriment to farm profits. Selenium (Se) is a trace mineral vital to several functions in sheep. Se supplementation during late pregnancy and lactation, particularly organic Se supplementation, may produce more robust lambs. Objective To determine how differences in maternal Se supplementation impact lamb health within 10 days postpartum (ppd 10). Methods Ewes (n = 110) were enrolled in a feeding trial from gestation day (gd) 110 to ppd 10, and supplemented with either no Se, 0.3 mg/day inorganic Se, or 0.3 or 0.6 mg/day organic Se. Lambs only received Se via maternal nursing. Lamb serum was collected on ppd 0, 2, and 10 to assess maternal transfer of Se, and muscle samples were collected on ppd 10 to assess lamb Se stores. Serum glutathione peroxidase (GPx) levels, thyroid hormone triiodothyronine (T3) levels, and a complete ovine 23-parameter biochemistry panel were assessed on ppds 0 and 10. Results Maternal organic Se supplementation significantly increased Se levels in lamb serum (P < 0.0001) and muscle (P < 0.0001) as compared to other treatments. Organic Se supplementation significantly increased GPx activity at birth (P > 0.001), but T3 levels were not affected. From the biochemical panel, serum levels of non-esterified fatty acid, potassium, chloride, albumin, total bilirubin, creatine kinase, aspartate aminotransferase, and glutamate dehydrogenase showed significant treatment differences. Conclusions Organic Se supplementation to ewes during late gestation and lactation improved lamb Se status and antioxidant capacity at birth. Other serum biochemistry parameters were only marginally affected by Se treatment. (Supported by NSERC 401814)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".