MEAT QUALITY OF DIFFERENT GENOTYPES OF HEREFORD BREED CALVES
Bibliographic record
Abstract
The purpose of the research is Hereford breed calves meat quality improvement by harnessing the potential of the canadian selection bulls. Experiments were performed in LLC «K. H. Polanskoe» Bolshechernigovsk district of Samara region. The subject of investigations was the carcasses of Hereford steers of the breed obtained in the cows insemination of populations of canadian selection bulls stair: Wide Load 391W (group 1), upper Cut 20U (group 2), absolute 49S (group 3) and the descendants of domestic breeding bulls (control group). It was found that the calves of Hereford breed have good meat qualities. Exit steam carcasses in all groups was not less than 56.0% and the yield of pulp – not less than 79.0%. In calves, obtained from canadian selection bulls , meat quality was better expressed. The descendants of imported bulls by mass of steam carcass exceeded the indicators of the descendants of domestic bulls by the figure of 3.7-7.0% on exit of the flesh – 4.3 to 7.7%, they also had the advantage of index meat 2.1-4.2 percent. Canadian Herefords bulls were characterized by a greater mass of most valuable cuts of the carcass. They have plenty of hip part was 4.2 to 10.7 kg more than the domestic descendents. In the relative magnitude of this difference was 13.6 and 5.3%. The researches have allowed to draw a conclusion about expediency of use of canadian selection sires Hereford for improvement of meat quality of local Hereford farms, where this species are bred.
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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) | 0.002 | 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".