Genotypic and phenotypic characteristics of the Western Siberian Hereford cattle population
Bibliographic record
Abstract
Breeding and pedigree work aimed at increasing the intensity of growth of young animals and improving herds, ultimately consists in the accumulation of highly productive animals, and in the future - related groups and lines. It is carried out mainly through the use of bulls-improvers, which have passed the two-stage evaluation. The results of the complex characterization of the animals of the Siberian selection of Hereford breed from the breeding farms of the Novosibirsk region are presented. It has been established that in the leading pedigree breeding units the stud bulls of the Maer-Vern 88480, Baldwins Leda 10r, Baz Gold Sol 2v268279, Yarlyk 413 of Siberian reproduction and imported Hellington 88 910 of Finnish selection, Red Note 28 722 279, Kingly 1 Hyrrow 2 976 500 345 and Highflight Wetmore 377 231 of Canadian origin are used in the breeding work with regard to small number of other lines. The productivity limit for the period of economic use in calves ranges from 2.5 to 9.4 lactations, live weight from 507 to 569 kg, milk yield from 189 to 204 kg, height at hips from 125 to 131 cm and the reproduction score from 8.2 to 9.3. On these farms, leader bulls were bred on the basis of heterogeneous and improving selection of parental pairs, which are included in the repair group of stud bulls. The live weight at 15 months is 458-616 kg and corresponds to the class of elite-record. The average daily gain of live weight during the test period from 8 - to 15 months of age is within 1052-1381 g.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".