PSV-10 Genetic parameters of disease in growing pigs under a polymicrobial natural disease challenge.
Bibliographic record
Abstract
Abstract This study aimed to estimate genetic parameters of disease-related traits of growing pigs exposed to a natural polymicrobial disease challenge. The challenge was established by introducing seeder pigs into a wean to finish research facility and maintained by introducing a new batch of 60 or 75, ~40 day old clinically healthy Yorkshire x Landrace barrows into the challenge nursery (cNur) every 3 weeks, with a 1-week overlap with the previous batch, before the latter was moved to the finisher (FIN). Data used included individual health treatment(s) and mortality records on 4095 barrows from 7 breeding companies. Traits analyzed included treatment rates (TRR) and mortalities (MOR), categorized as meningitis (ME), respiratory distress (RD), scours (SC), unthrifty (UNTH), and other infections (OT). Analyses were by generalized and linear mixed models with genomic relationships. Heritability estimates for TRR and MOR were generally higher in cNur than in FIN. Compared to other disease categories, RD tended to have higher heritability estimates both in cNur (TRR-RD: 0.14±0.03, MOR-RD: 0.09±0.08) and FIN (TRR-RD: 0.07±0.03, MOR-RD: 0.18±0.09). Litter effects were generally low both in cNur and Fin but stronger in cNur (TRR-RD: 0.04±0.02, MOR-UNTH: 0.05±0.02). For RD, genetic correlation estimates among TRR and MOR in cNur and FIN were generally positive ranging from 0.40±0.18 for cNur TRR with FIN MOR to 0.95±0.30 for cNur MOR with FIN MOR. Corresponding genetic correlation estimates for other disease categories were either moderately negative (-0.19±0.32 for OT TRR between cNur and FIN), not positive definite, or the model did not converge. This study considered both TRR and MOR for different disease categories and growth phases for a large number of pigs under a severe natural polymicrobial disease challenge and provides valuable information to breed for disease resilience. Funding from Genome Canada, Genome Alberta, Genome Prairie, PigGen Canada, USDA NIFA (2017-67007-26144) and the National Pork Board Survivability Project.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".