Влияние отцовской породы при скрещивании на динамику роста и рентабельность откорма молодняка свиней до тяжелых весовых кондиций
Bibliographic record
Abstract
Purpose: Identification of the dynamics of the mass of carcass and mass of muscle tissue in the carcass, as well as the speakers of the cost of feed for the increase in the purebred, two-rigorous and three-stenged young children, as well as the establishment of the degree of affect of the father's rock when crossing the increase in the growth of carcass in the fattening of animals from Live mass 100 kg to 125 kg. Materials and methods : For the study, the method of regression analysis was used, the source material for which the data of the control fattening and the subsequent feasibility of descendants from the purebred breeding of the Belarusian large white (BKB), Belarusian meat (BM), two-rigorous crossing with their use and use and Three-rigorous crossing using at the first stage of the above-mentioned rocks, and at the final stage — boars of rocks (EB) Estonian bacon, Yorkshire of German (NY) and Canadian (ky) breeding, Landraz German (NL) and Canadian (CL) selection, as well as Durok Belarusian (database). German (ND) and Canadian (CD) selection. The costs of feed units per 1 kg of the growth of live masses, masses of carcass and masses of muscle tissue in a carcass in a fattening to the specified weight conditioning are determined. Revenue was calculated from the sale of carcass growth and the level of profitability is determined or the unprofitability of its production during the fattening of the young of each of the studied combinations to the above-mentioned weights. Results. It has been established that fattening of the BKB purebred animals, two-rigorous young BKB X BM and three-rigorous youngsters using at the final stage of the crossing of the Estonian bacon rock to the living mass over 100 kg are not profitable due to a reduced level of meat qualities with increased consumption of feed for growth. The fattening of the young Belarusian meat breed and three-stenged places using at the final stage of the crossing of the landscape of the German and Canadian breeding breed of profitable only to a vibrant mass of 105 kg at a profitability level of 2.5%, 6.7% and 7.1%, respectively. The fattenings of three rigorous youngsters from the final breed of the Yorkshire of the German and Canadian selection of profitable to the vibrant mass of 105 kg with a profitability of 10.3% and 11.0% and up to 110 kg with a profitability of 1.9% and 2.8%. Application at the final stage of the three-stenged crossing of the droke breed turned out to be the most efficient. At the same time, the Belarusian type of Duxa provides profitable fattenings of young to the vibrant mass of 110 kg, which makes it possible from each head to additionally get 8.48 kg of masses of carcasses and 5.38 kg of muscle tissue, and the use of boars of the divok canadian and German selection provides profitable fattenings of young to the vibrant mass of 115 kg, and makes it possible to additionally obtain from each head of 13.11 and 12.84 kg of masses of the carcass and 8.16 and 8.13 kg of muscle tissue in comparison with the caution with a living mass of 100 kg. Conclusion. When analyzing the data obtained, it was established that during the final fattening, the processes of increasing masses of the carcass, as well as the mass of muscle tissue in it in animals of different breed combinations, proceeded with different intensity, which was reflected in the efficiency of production of pig breeding.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".