A New Holstein Haplotype Affecting Calf Survival
Bibliographic record
Abstract
In recent years, the availability of phenotypic records and genomic data for cattle and the application of genomic tools revealed haplotypes affecting fertility and prenatal death. This study reports the identification of a new haplotype associated with calf survival in the Holstein population. Several calves from specific mating initially showed unspecific symptoms like chronic diarrhea and insufficient development. Affected animals died within the first months of life despite of symptomatic treatment. A genome-wide case-control-study based on 54K SNP Chip genotypes determined a causal region at BTA 11. Subsequent homozygosity mapping identified a haplotype affecting calf mortality in the homozygous state. Blood chemical analysis of affected calves revealed pronounced hypocholesterolemia indicating a disorder of the fat metabolism. Heterozygous animals without clinical manifestations show decreased levels of blood cholesterol suggesting a codominant inheritance for this genetic defect. Pedigree analyses revealed a prominent Canadian Holstein bull; MAUGHLIN STORM, as a carrier for this disorder. The widespread use of this bull and of its sons in the breeding program lead to a strong increase of the haplotype frequency in the German Holstein population within the last years. The occurrence of an identical healthy haplotype and the presence of several gaps within the bovine genome complicate the identification of a concordant variant.
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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 | 0.001 |
| 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) | 0.003 | 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".