PRODUCTIVITY AND BIOLOGICAL FEATURES OF PIGS OF DOMESTIC AND CANADIAN BREEDING
Bibliographic record
Abstract
In the conditions of large pig breeding complexes in the raw material base of Smolmyaso OJSC andPavlovskaya Sloboda Meat Processing Plant OJSC, in the period of 2010-2015, research and production experiencewas conducted to study the productivity and biological features of domestic and western breeding pigs. Experimentalyoung stock from 2 months age till reaching the live weight of 100 kg was kept in the control growing. Theconditions of keeping, feeding and slaughter of young pigs were identical. When young pigs reached 95-105 kg inlive weight, they were evaluated by their own productivity and slaughter indices.In the process of research, it was found that among the domestic and Canadian young stock, the highestprecocity and growth rate was characterized by three-breed hybrid young stock, obtained by crossing hybrid sowswith Duroc boars. The results of the control slaughter showed that among the domestic and Canadian young stock,the best slaughter indices were characterized by the three-breed hybrid young.It was established that the three-breed cross young pigs of the Canadian breeding reached the pre-slaughter liveweight 22 days earlier compared to the domestic one, the average daily weight gain was 134.1 g higher, the slaughteryield was 2.3% higher. Thus, the three-breed commercial young stock of Canadian breeding reliably surpasses thepigs of domestic breeding.The calculation of the economic efficiency of growing young pigs shows that the additional income from thesale of 1 head of Canadian breeding is 1.5 thousand rubles (23 US dollars) compared with the domestic breeding.Based on the research results, it was recommended that pig farms engaged in breeding and growing domesticpigs, should strengthen breeding to improve the fattening and meat qualities of pigs. To obtain commercial youngpigs with high fattening and meat qualities, it is recommended to use Canadian pigs more extensively.
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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 | 0.000 |
| 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".