Effect of <i>NLR</i> family pyrin domain containing 9 gene polymorphism on litter size in large white pigs
Bibliographic record
Abstract
NLR family pyrin domain containing 9 (NLRP9) is a mammalian reproduction-related gene. In this study, we researched the associations between polymorphisms located in the coding sequence (CDS) of the NLRP9 gene, and both the total number of piglets born per litter (TNB) and the number of piglets born alive per litter (NBA) in Canada Large White pigs (CLW). We detected a single nucleotide polymorphism (SNP) within exon 3 (g.10910C > T). The allele frequencies at the NLRP9 locus were 0.474 for the C allele and 0.526 for the T allele. Three genotypes, CC, CT, and TT, occurred with frequencies of 0.216, 0.515, and 0.269, respectively. Sows with the CC genotype had the largest TNB and NBA, sows with TT had the smallest, and those with CT were in-between. This difference was statistically significant (p < 0.05). Furthermore, CC females grew faster than CT or TT females, and there was a significant relationship between NLRP9 polymorphism and the average daily gain (p < 0.05). Here, we provide the first evidence for a novel SNP in NLRP9 associated with litter size in CLW sows, which could be used as a genetic marker to improve litter size in pig breeding and production.
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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".