Сравнительная характеристика воспроизводительной способности мясного скота герефордской породы канадской и сибирской селекций
Bibliographic record
Abstract
Reproductive ability is one of the main indicators of organism adaptation to new conditions of feeding, housing and local climate. The research was conducted on the OOO “Farm” of the Tselinniy District of the Altai Region over the period from 2012 to 2013. Hereford heifers of Canadian selective breeding at the age from 11 to 16 months (n = 97) were studied. Healthy heifers were artificially inseminated by manual cervical technique. Pregnancy diagnosis was performed by rectal method and with the use of a veterinary ultrasound scanner AcuVista VT 880b. The pregnancy was diagnosed in 81 (83.5%) out of 97 inseminated heifers. In terms of the age, higher conception rate was found at 15-16 months (89.5%), and the minimum rate at 11-12 months (71.4%). The use of the ultrasound scanner enabled evaluating the clinical state of the reproductive glands and diagnosing the duration of gestation after insemination. In most non-pregnant heifers the persistence of corpus luteum and hypo-ovaria were detected. The imported Hereford animals of Canadian selective breeding reached economic maturity three months earlier than their Siberian herd-mates. The live weight of the Canadian Hereford heifers at first insemination was by 16 kg greater than that of the Siberian Hereford heifers. However, the fertility ability of the Canadian heifers was by 12.4% lower than that of their Siberian herd-mates. The fertility ability of the Canadian heifers at the age of 15-16 months was 89.5% and the minimum of 71.4% at 11-12 months. The indicators characterizing the reproductive ability of first-calf cows did not differ significantly between the Canadian and Siberian heifers.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".