DISTRIBUTION OF BULLS OF BREEDING ENTERPRISES OF THE RF BY BLOOD LEVEL OF RELATED BREEDS OF AYRSHIRE DAIRY CATTLE GROUP
Bibliographic record
Abstract
He significance of blood count of related breeds of the Ayrshire group of dairy cattle investigated. Information processed on the pedigrees of 181 bulls whose sperm found in 10 breeding enterprises of the RF. The average blood pressure of bulls in the Finnish Ayrshire breed was 54.2%, Swedish red - 9.9%, Norwegian red - 8.8%, Canadian - 25.7% and others - 1.4%. Bulls distributed according to the presence in their pedigrees of blood residues of related breeds of the Ayrshire group in the age aspect depending on the place of their birth and breeding enterprises, and the level of breeding value by milk of their daughters and pedigree. Most of the bulls were born in Russia and Finland (45.9 and 46.4% respectively) in their pedigrees the Finnish Ayrshire breed predominates. The ranking of bulls by official breeding value (BV) and by pedigree (BV PED ) revealed that in the best bulls according to these indicators (+100 kg and more) bloodline prevails in pedigrees by Finnish Ayrshire breed compared to the worst group (less than -100 kg). This regularity noted in pedigrees in 57.2 and 77.6% of bulls, depending on the assessment options. The BV of bulls and predicted positively and reliably correlates with the presence of Finnish blood in the pedigree (+ 0.233 * and + 0.308 **) and significantly negatively with Canadian (-0.252 * and -0.467 **). The findings are consistent with previous 2013 studies on the best rated Viking Genetics bulls.
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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) | 0.004 | 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".