PSVII-2 Effects of Oxidized Beta-Carotene on Sow Reproduction and Piglet Growth Performance
Bibliographic record
Abstract
Abstract As reproductive performance of sows in the commercial U.S. sow herd continues to improve, advancing the impact of gestation and lactation diet supplementation is critical. Beginning on d 60 of gestation through lactation, sows (blocked by parity) were assigned to a standard gestation diet (n = 88), or the standard diet supplemented with 80 ppm OxC-beta (n = 90) provided by Avivagen (Ottawa, ON, Canada) to determine if the supplementation of OxC-beta improves sow reproductive performance, litter growth performance, and alters the abundance of immune cells in sows and piglets. Blood samples were taken from a subset of sows (n = 54 per treatment) at the start of the study, at farrowing, and at weaning; and also, on a subset of piglets at birth and weaning. Also, at birth and weaning, 12 pigs (n = 6 per treatment) were euthanized, and livers were collected and subjected to flow cytometry to analyze phagocytic activity of the Kupfer cells. CD335, CD8, and CD4 populations within whole blood were assessed via flow cytometry. Colostrum at farrowing and milk at weaning were collected for analysis of IgG and IgA. Data were analyzed via SAS 9.4 using PROC GLIMMIX. No differences (P > 0.05) between dietary treatments were observed in sow reproductive performance, sow feed intake, wean to estrus interval, or piglet growth performance. No differences (P > 0.05) were observed for vitamin A in the plasma or liver. No immune differences (P > 0.05) were observed in the piglet’s liver and blood nor sow antibodies in colostrum and milk. Subsequent litter information was obtained from the sows, and no differences (P > 0.05) were observed in reproductive performance. Overall, there were no differences in sow reproductive performance, litter growth performance, and the immune system of sows and piglets of sows supplemented OxC-beta.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".