Index for mastitis resistance and use of BHBA for evaluation of health traits in Canadian Holsteins.
Bibliographic record
Abstract
A routine genetic evaluation for mastitis resistance will be officially implemented in Canada in August 2014 for Holstein, Ayrshire and Jersey breeds. The model is a multiple-trait linear animal model including mastitis, average SCS in early lactation, standard deviation of SCS, excessive test-day SCC, fore udder attachment, udder depth and body condition score. Genetic evaluations for clinical mastitis in first lactation as well as in second and later lactations are calculated and expressed as relative breeding values with a mean of 100 and a standard deviation of 5, where higher values are desirable. An index for Mastitis Resistance was developed that includes both the two clinical mastitis traits and the official SCS evaluation, with equal weights. Hyperketonemia or ketosis is one of the most frequent diseases in dairy cattle and the level of milk s-hydroxybutyrate (BHBA) is an indicator of subclinical ketosis. Heritability estimates for milk BHBA in Canadian Holstein cows were between 0.13 and 0.29. Higher milk BHBA in early lactation was genetically associated with a higher frequency of clinical ketosis and displaced abomasum. Milk BHBA can be routinely analyzed in milk samples at test-days, and, therefore, provides a potential alternative for breeding cows with a lower susceptibility to hyperketonemia.
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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 | 0.004 | 0.002 |
| 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 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".