Продуктивное долголетие дочерей быков разной селекции
Bibliographic record
Abstract
Using global gene pool group ayrshire breeds of the North American and Northern European countries in recent years has become an integral part of the reproduction of high-yield domestic herds. An example is the breeding factory Novoladozhsky in Leningrad region, where such breeding policy has allowed exceeding the level of milk yield over 8000 kg in 2012. All conditions are created for realization of potential of productivity. But, despite this, there are some differences in terms of economically useful traits in progenies of sires of different selection. For example, the bulls of North American Breeding improves exterior markers of cows, particularly the udder, Swedish sires are leading on the quality of the limbs. The analysis productive longevity (SPY) of cows in the herd has shown that Swedish breeding cows with superiority over contemporary by 47 days is the best on this marker. But while these animals are somewhat inferior to contemporaries on profitability (0.3%). The daughters оf Canadian (-38 days) and domestic(-74 days) sires have more short period of using while reducing the profitability of -0.5 to -1.2%. In the course of our investigations it was found that Finnish bull Akkerman occupies the first place on SPY is second on profitability for first lactation and productive longevity (+63 days., +2.4 аnd + 1.8%, respectively). The Swedish sire Gunde also positively evaluated by all three criteria of productive longevity of his daughters (+22 days., +1.2 and +0.8%). It follows from this that it is necessary for the purpose of identification of sires with improving abilities to carry out an assessment of sires on SPY and PK not only on of milk yield for the first lactation, but also on signs of productive longevity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.009 |
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".