Адаптивная реакция импортного скота голштинской породы на температурные условия среды
Bibliographic record
Abstract
The adaptive capacities of Canadian Holstein cattle introduced into the territory of the Orenburg region in June 2011 have been studied. The study was conducted in the JSC «Rassvet, Orenburg region, on pregnant heifers in July 2011, on cows in February and July 2012, and on cows of the third calving in 2013. The study included three series of observations with intervals of three days, carried out at the same hours of the day (in the morning at 8.00 am, at lunchtime at 14.00 and in the evening at 20.00). The following clinical parameters (body temperature, respiratory rate and heart rate), the indices of adaptive plasticity (adaptation factors, tolerance, heat resistance) as well as the structural features of hair (weight, length, thickness, diameter and composition) have been determined in the animals by means of generally used methods. The results obtained showed that during the acclimatization period the animals were characterized by unstable dynamics of indices reflecting their general clinical condition. In winter, the instability of clinical indices was less pronounced than in summer. The adaptation coefficient in the first year of the imported cattle being under the new conditions was 2.91(±03) in July; in winter of the second year, under comfortable conditions, the above coefficient was 1.86±0.18, while in summer this coefficient again demonstrated an extreme period of existence and was 2,82±0,26. In the third year of keeping the imported animals under conditions of the pronounced continental climate of Orenburg region the adaptation factor was higher in winter than in the second year of their stay in the region, but it was significantly lower than in July, which is due to really expressed compensatory mechanisms of adaptation. The results of the studies confirm the conclusion that the knowledge of animals' acclimatization capacities makes it possible to find ways to control their development and to manage reasonably the processes which are to be directed to increase the productivity of cattle and to improve the animals' breeding qualities.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".