Modern Intensive Dairy Beef Production Systems in Russia
Bibliographic record
Abstract
The objective of this study was to determine the biological and economic efficiency of growing-finishing young dairy bulls slaughtered at different live weights under current consumer´s requirements and market conditions. Experiment was conducted with bull calves of Black and White breed with high level (>85%) Holstein blood (n=60). All animals were indoor housed and fed on diets consisting of forage (55 percent on dry matter basis) and concentrate (45 percent) with flat daily live weight gains 900-1000g. The overall findings for the dairy calf to beef system can be summarized as follows. Under current conditions optimum slaughter weights of young bulls are 500-550 kg at the ages of 17-18 months. Biological efficiency as measured by carcass weight production per animal, carcass and meat qualities, increased with increasing of slaughter weights from 400 to 550kg. The same pattern has occurred for net return, but profitability was unchanged. Production systems with light slaughter live weights require more number of cattle by 14-41 percent to produce the same carcass weights. On the other hand feed conversion of the bulls slaughtered at light live weights was higher. Meat potential of Black and white breed with high proportion of Holstein blood is good enough to produce quality lean carcasses.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".