Evaluation of Sire Predicted Transmitting Abilities for Evidence of X-Chromosomal Inheritance in North American Sire Families
Bibliographic record
Abstract
This study tested for differences between genetic merits of sons and daughters of sires and for evidence of segregating quantitative trait loci on the X chromosomes of North American Holsteins. Son PTA adjusted for sire PTA was used as the dependent variable to test for biases and for genes that were passed from sire to daughter but not to son. The test of variability across sires of sons merely indicated an unaccounted source of variation, for which genes on X chromosomes might be responsible. Critical values for this test and power were determined by simulation for a variety of populations and traits differing in heritability, size of the X chromosome effect, and allelic frequency. Simulated genes on the X chromosome were detected with high power at intermediate frequencies of the favorable allele. The power of the test increased as the size of the effect increased and as genetic variance attributed to autosomes decreased. The test was then applied to recently evaluated data from US and Canadian Holstein populations. Genetic evaluations for >17,000 bulls from the US and >9000 from Canada were included. Results suggested that little extra variation was present for some traits formally evaluated in North America, but that genes on the X chromosome were unlikely to be the cause.
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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 | 0.003 | 0.009 |
| 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) | 0.002 | 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".