A genetic perspective on enzootic bovine leukosis resistance in Canadian Holstein cattle
Bibliographic record
Abstract
Bovine leukemia virus (BLV) is the causative agent of enzootic bovine leukosis (leukosis). Infection with BLV can lead to persistent lymphocytosis and tumours and is associated with decreased production, and immune and fertility challenges. Reducing the prevalence of leukosis through management and culling has not yet been successful; therefore, this thesis aimed to examine leukosis resistance from a genetic perspective. Approximately 77% of herds tested in this study were positive for leukosis; within those herds, an average of 39% of cows tested were positive for leukosis. A heritability of 0.10 (SE=0.001) and 0.07 (SE=0.0006) was estimated for leukosis resistance using a linear animal model and single-step GBLUP methodology, respectively. Candidate genes associated with leukosis resistance were identified on chromosome 23 using a genome-wide association study. Overall, selection for leukosis resistance is possible and this thesis provides the foundations for the inclusion of leukosis resistance in Canadian national selection indices.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 0.001 |
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 teacher head, 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".