The efficiency of pigs from different genetic origins under industrial conditions in Ukraine
Bibliographic record
Abstract
The study investigated the dependence of the fattening qualities of pigs and the economic efficiency of their breeding on their genetic origin. Two groups of 28 sows of Danish and Canadian origin inseminated with semen from Durok boars served as research material. A control group consisted of F1 sows of the Landrace and Large White Danish breeds inseminated with semen from Danish Durok boars. The group II, on the other hand, consisted of F1 sows of similar breeds from Canadian selection inseminated with semen from Canadian Durok boars. The studies focused on the efficiency of the sows' reproductive function, the growth intensity of the hybrid piglets and the efficiency and profitability of their rearing and fattening. Methods of analogue pairs and statistical data analysis were used. It was found that piglets of Canadian origin had a 7.5% higher average head weight during the weaning period, which contributed to a 7.5% higher market value and at the same time to a 6.7% higher income from rearing a piglet during this period and to a 3% higher profitability of its rearing compared to analogues of Danish origin. It was shown that animals of Danish origin had a 9.6% higher gross growth of the piglet litter during the fattening period, which gave them a 7.6% higher weight at the end of the fattening period and contributed to a 7% higher cost price for this period, a 7.6% higher market value and a 10.1% higher feedlot income and a 0.77% better feedlot profitability compared to Canadian-bred counterparts. We recommend the use of sows of Danish origin if the farm intends to sell weaned piglets, in the industrial farms. If the farm intends to sell full-grown or (fattened) slaughter pigs, it is advisable to use pigs of Canadian origin.
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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 | 0.000 | 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) | 0.000 | 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".