Growth and development of replacement heifers of Holstein black-and-white breed of different ecogenesis
Bibliographic record
Abstract
An important task of rearing of replacement young animals of different origin in dairy cattle breeding is to breed such type of animals that due to their size, strength of constitution, development of organs and systems, would ensure high milk productivity for a long time. This is especially true for the Black-and-White breed, which occupies a leading position among the breeds of dairy cattle. The purpose of the work was to study the growth and development of replacement heifers of Holstein black-andwhite breed of different ecogeneses. The growth and development of replacement heifers of Holstein black-and-white heifers of local breeding and herdmates of Holstein breed of Austrian and Canadian breeding under the conditions of the North Kazakhstan region in the Republic of Kazakhstan have been studied. Thus, it has been found that the absolute and relative growth rate was higher in animals of Canadian breeding, compared with herdmates of Austrian and domestic breeding. The live weight of black-and-white Holstein heifers of Canadian breeding at birth was higher than that of herdmates of Austrian and domestic breeding by 1,5 and 2,4 kg or 4,1 and 6,7 %, at 18 months of age by 32,6 and 50,8 kg or 4,6 and 13,0 % (P < 0,001). Heifers of Austrian breeding had an advantage over domesticbred heifers at birth by 0,9 kg or 2,5 %, and at the age of 18 months by 18 kg or 4,6 % (P < 0,001). Heifers of Canadian and Austrian breeding had the advantage over their herdmates of domestic breeding according to the studied body measurements and body built indices.
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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 | 0.000 | 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) | 0.001 | 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".