Growth and efficiency of piglets of Danish and Canadian origin in the south of Ukraine
Bibliographic record
Abstract
In recent years, against the background of a declining share of domestic pig breeds in Ukraine, there has been a trend towards an increase in the share of foreign-bred meat pig breeds, with Landrace and Large White breeds being of particular interest, using different breeding methods. This indicates a growing interest from producers. Duroc boars are consistently leading the way in selling industrial hybrids and crossbreds. The experiment was conducted in 2023 at Agro Novorayske, a limited liability company in the Kherson region. The material for the research was piglets obtained from crossbred sows (Landrace × Large), which were inseminated with sperm from Danish and Canadian Duroc boars. For the experiment, 250 piglets of Danish and Canadian origin were selected using the analogue group method. As part of the scientific and economic experiment, the following were studied: growth intensity, safety, and feed conversion during the rearing of piglets of Danish and Canadian breeds. The efficiency of their rearing was also determined. It was found that piglets of Canadian origin had a 0.8 % higher preservation rate, 8.0 % higher growth rate, and 8.0% higher absolute growth, which resulted in a 7.9 % higher weight of pigs at the end of growing compared to their Danish counterparts. It was proved that piglets of Canadian origin, with equal daily feed intake, consumed almost the same amount of feed during the growing period at nearly identical costs. Still, due to higher growth energy, they showed an 8.0 % lower feed cost per kilogram of weight gain during this period. It was found that piglets of Canadian origin growing at almost equal cost of increasing one head had a 2.50 % lower cost per kg of gilts at the end of increasing but had a 5.2 % higher cost per gilt at the end of growing, 7.9 % higher cost of one gilts at this time, 16.3 % higher income from the sale of one grown gilts and 3.41 % higher profitability of growing one piglet compared to their peers of Danish origin.
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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) | 0.000 | 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 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".