BREEDING A NEW POPULATION OF MEAT-BASED SIMMENTAL CATTLE IN THE CARPATHIAN REGION OF UKRAINE
Bibliographic record
Abstract
It has been found that the growth rate in this type of repair heifers from birth to 7 months of age in the genotype Simmental Canadian3/4 + Simmental Austrian1/16 Simmental German1/8 + Simmental American1/16 is higher; they reliably predominate by 3.4% (P<0.001) their improved peers of the genotype Simmental Com-bined1/32 Simmental Canadian27/32 Simmental Austrian1/32 Simmental German3/32 in the herd of the State Re-search Farm «Chernivetske». It has been determined that a correlation in repair heifers with the final genotype Simmental Canadian3/4 Simmental Austrian1/16 + Simmental German1/8 + Simmental American1/16 between the live weight during the period of rearing was low and negative: at birth r=-0.13 (P>0.095); at 7 months of age r=-0.02 and at 12 months of age r=-0.05 (P>0.095). The studies have determined that the linear and mass di-mensions of a new population Simmental cattle increase with the raise of their heredity in the genotype Sim-mental Canadian3/4 Simmental Austrian1/16 + Simmental German1/8 + Simmental American1/16. Their live weight increased by 15.5 kg, the height at withers – by 3.1 cm, the chest circumference – by 4.8 cm, the oblique length of the torso and buttocks – by 1.7 and 2.1, respectively, and the overall dimensions – by 13.5 cm. It has been found that the growth rate in the repair heifers of meat-based polled Simmental cattle from birth to 7 months of age in a new productive genotype Simmental Canadian3/4 Simmental Austrian1/16 + Sim-mental German1/8 + Simmental American1/16 is 15.7%; they reliably predominate by 3.4% (P<0.001) their im-proved peers of the genotype Simmental Canadian25/32 + Simmental Austrian1/16 + Simmental German1/8 + Sim-mental American1/32 in the State Research Farm «Chernivetske».
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".