Evaluation of sires according to offspring beef quality
Bibliographic record
Abstract
Beef production in the Russian Federation is mainly based on the use of over-replacement young animals and culled adult cattle of dairy and dual purpose breeds, and only 10 % of it is obtained from cattle of specialized beef breeds and their crossbreds. The selection and widespread use of the best breeding sires will help to increase the dairy and meat productivity of cows and overcome the negative correlation between the most important selected traits in large numbers of livestock. The results of the evaluation of the off spring of sires of Simmental breed of domestic and foreign selection (Canadian), as well as the sire of Red-and-White dairy breed have been presented in the article. The complex index of the sire Sokol 1335/6330 TS-2811 of Simmental breed of the Canadian selection (purebred), born in 1999 in the collective farm of name after Ilich in the Kalacheyevsky district in the Voronezh region (color pale-mottled), according to the beef characteristics of the off spring was 116, which corresponds to the international category EX – “excellent” (KI[sub]1[/sub]). From this it follows that the sire Sokol 1335/6330 TS-2811 is an improver for beef productivity with the assignment of category C[sub]1[/sub]. The sire Redky 6631 TS-2710 belongs to the line Signal 4863, born in 1989 in the state farm “Moskovsky” in the Kharkiv region (color pale-mottled) of domestic selection received the complex index 102 for the beef productivity of off spring, corresponding to KI[sub]3[/sub] (G) – “good” with the assignment of category C[sub]3[/sub]. The sire Pamir 9060,2566 CGF-123 of Red-and-White breed belongs to the line Siling Traijun Rocket 252803, which has the A[sub]3[/sub]B[sub]3[/sub] breeding category, is the loser in terms of the meat productivity of the off spring. It follows from this that the sons of sires of Simmental breed of the domestic and Canadian selection have the advantage in beef productivity over the sons of the sire of Red-and-White breed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| 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".