Identification of Genomic Regions Associated With Lactation Performance in Yorkshire Sows
Bibliographic record
Abstract
Lactation is an economically important phase in the lifecycle of sows, and events that happen during that period have a big impact on longevity of the sow and therefore profitability of the operation. The difficulty in collecting accurate phenotypes that are required to assess lactation performance, and the inability to evaluate longevity of sows in nucleus herds, highlight the importance of using genomic tools to examine the underlying genetics of these traits. The goal of this project was to conduct genome wide association studies (GWAS) of traits related to lactation in Yorkshire sows using 60k SNP marker information. A 1 Mb region on chromosome 2 (SCC2), which showed strong evidence of linkage disequilibrium, explained around 50% of genetic variation for total weaning weight of litter and litter weight gain for sows in parity 2 and also affected parity 3 phenotypes. These results are extremely encouraging and may be useful in marker assisted or genomic selection to improve lactation performance, especially litter weaning weight of sows in parity 2 and higher.
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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 | 0.001 | 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".