An investigation of the impacts of induced parturition, birth weight, birth order, litter size, and sow parity on piglet serum concentrations of immunoglobulin G
Bibliographic record
Abstract
Objective: To determine the impacts of induced parturition, birth weight, birth order, litter size, and sow parity on piglet serum concentrations of immunoglobulin G (IgG) . Materials and methods: In Experiment 1, sows were either induced to farrow (n = 56) or allowed to farrow naturally (n = 84). Litters of induced sows were placed immediately into a warm crèche until farrowing was complete, then all piglets were weighed and placed with the sow at the same time. Blood samples were collected at 3 days of age from one or two of the smallest pigs, one medium pig, and the largest pig in each litter for measurement of serum IgG. In Experiment 2, the firstborn and last-born piglets in 78 litters were blood sampled at 3 days of age and sera were assayed for total IgG. Results: Experiment 1. Mean serum IgG concentration was higher in piglets from induced litters than in piglets from control sows (P < .001). Serum IgG concentrations increased with increased piglet weight (P < .001). Piglets from larger litters had lower serum IgG (P < .001). Serum IgG concentrations in piglets were not affected by sow parity (Experiment 1) or birth order (Experiment 2). Implications: Supervision of farrowing may allow for improved colostrum intake with benefits to passive immunity. However, first-born pigs do not appear to get a disproportionate share of available immunoglobulins.
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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 | 0.000 | 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) | 0.000 | 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".