Genome Wide Association Analyses Identify New Loci for Milking Speed and Temperament in North American Holsteins
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objectives of this study were to identify significant genomic regions for Milking Speed (MS) and Milking Temperament (MT), run an in silico functional analysis for the corresponding genes. Genome-wide association studies (GWAS) were performed using a generalized quasi-likelihood score test, using BovineSNP50 Bead-Chip genotypes (50K SNP) from 2,363 and 2,270 Holstein bulls with proofs for MS and MT, respectively. A total of 601 and 406 SNPs were associated with MS and MT at 5% chromosome-wise false discovery rate (FDR), respectively. A total of 301 genes were found to overlap with 353 of the significant SNPs for both traits. A total of 1,308 genes were enriched (P<0.05) in 12 pathways. This study confirmed previously reported QTL and suggested new positional and functional candidate genes. The predictive ability of the significant SNPs will be investigated to validate the candidate genes and biological mechanisms that were found to be associated with MS and MT.
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.
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 | 0.001 |
| 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 it