Association analysis of <i>GH1</i> and <i>CRP</i> loci polymorphisms with reproductive traits in native Pulawska gilts and sows
Bibliographic record
Abstract
The objective of the study was to analyse the association of growth hormone (GH1) and C-reactive protein (CRP) loci polymorphisms with reproductive traits in native Pulawska gilts and sows. In the GH1 locus, two mutations were identified: one in the second intron [single-nucleotide polymorphism (SNP) = rs340429823 in.742C>T, MspI], and one in the second exon (SNP = rs340087546 c.566G>A, HaeII). In the CRP locus, two mutations were found in exon 2 (SNP = rs340175625, NM_213844.2: c.1271A>G, BstNI; and SNP = rs80928546, NM_213844.2: c.788C>T, HinfI). Analysis of sexual activity showed that intensity of external estrus signs differed significantly (P ≤ 0.05) and was the most manifested in gilts with the CT (GH1_MspI) genotype during the second estrus. In case of the CRP gene, statistically significant differences (P ≤ 0.05) were found in terms of the duration of farrowing. The longest farrowings were reported for the GG (CRP_HinfI) and the TT (CRP_BstNI) genotypes and the shortest for the AA (CRP_HinfI) and CC (CRP_BstNI). The most numerous first litters were produced by sows with the AA genotype (CRP_HinfI), with significant differences (P ≤ 0.05) between the AA and GG genotypes. In turn, the CC homozygotes (CRP_BstNI) differed significantly (P ≤ 0.05) in terms of the number of piglets born and reared to day 21 in the second litters compared to the other genotype groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".