PSXVII-21 Effects of neonatal supplementation of copper, vitamins A and D on micronutrient status of piglets during lactation and after weaning.
Bibliographic record
Abstract
Placental and colostral transfers of copper, vitamins A and D are limited in pig. This study aimed to determine the impact of supplementations of these micronutrients and bovine colostrum (BC) on piglets’ micronutrient status. Twenty-three sows were fed conventional gestation and lactation diets (CONT) whereas another group of 24 sows was fed CONT diets with daily supplements of 25-OH-D3 (4 КIU), β-carotene (30 КIU) and Cu-yeast (45 mg) (SUPPL) from day 90 (d90) of gestation to farrowing. The supplementation was doubled until weaning. For each group, all piglets within litters received one of these treatments: (T1) control; (T2) oral retinol-acetate at d2 (8 mg) and d8 (16 mg) of age, 25-OH-D3 (100 and 200 µg, respectively) and Cu-yeast (4 and 8 mg, respectively) with exposure to UVB lights (15 min every other day from d5 to weaning); (T3) oral BC (4 g daily) from d5 to d10; (T4) T2 + T3. Determinations of 25-OH-D3, copper and retinol in piglets’ blood serum were done at d2, d8, d21 and d42. Measurements of liver retinol and copper were made at d16, d23 and d42 from one low (LW) and one high weight (HW) piglet per litter. Serum 25-OH-D3 was greater in (T2-T4) than (T1-T3) piglets except on d42 (Table 01). Liver retinol and copper were greater in (T2-T4) than (T1-T3) piglets at d16 and d23 but this response was more pronounced in LW than HW piglets for retinol. At d42, liver retinol decreased but concentrations remained higher (P < 0.01) in (T2-T4) than (T1-T3) piglets (Table 02). For liver copper, values collapsed after weaning despite supranutritional basal levels of copper in diets (Table 03). In conclusion, supplementation to piglets is efficient to increase the postnatal micronutrient status during lactation but residual effects either disappeared or were attenuated after weaning.
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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".