Продление продуктивного долголетия мясных коров до 8 отелов и более
Bibliographic record
Abstract
The purpose of these research investigations was scientific confirmation of the extending the productive longevity and lifetime productivity of beef cows. These traits have important significance for zootechnical and economical efficiency of beef husbandry. Two trials were conducted in 2000-2011 years with four heards consist of more than 770 animals of Kalmyk breed at the farms Zimovnickovsky Rostov region and Drouzba Stavropol region. In accordance with the plan of investigation it was studied the life-time productivity and reproduction, level and reasons of culling of the cows, calf crop and survival in the heards («gourts») of unchanged consist, under personal responsibility of stockmen, and in dependence from different age of fist calving as well. After 9 years of trials, at «Zimovnickovsky» and «Drouzba», respectively were: productive longevity 7.94 and 8.51 calvings; interval between calvings 379.7 and 381.8 days; weaned calf weight per cow 1828 and 1900 kg. These figures very similar to the best performance of beef husbandry in USA, Canada, Australia, England. It has been shown that kalmyck cows after good rearing and weighting 60-70% of mature weight at first matingare able to give the birst calves at the 24 months age and to have productive longevity no less than 7.79 calvings and weaned calf weight 1434 kg per cow, calving interval 377.8 days. In conclusion it was confirmed by long-term trials the possibility and economical effectiveness to have the first calving at the age of 24 months and longevity no less than 8 years. Economical effect of these management decisions consists of 3900 poubles per cow.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".