Reproductive traits of sows of Landrace breed of Canadian selection
Bibliographic record
Abstract
One of the most important economically useful features in pig breeding is considered to be the reproductive traits of pigs. The purpose of the research was to study the reproductive traits of sows of Landrace breed of Canadian selection under the conditions in the Kurgan region. The research has been carried out on sows of Landrace breed of Canadian selection under the conditions of the farm “Iltyakov V. N.” in the Chastoozersky district in the Kurgan region. The five most productive blood lines with the total number of 46 sows have been selected for the research. It has been found by studies that the highest rate of prolificacy has been characterized by sows of the blood line AOZD 62704Y (14,13 heads), which was 11,17 % more than in the blood line LVS 40002X. Higher livability of piglets at weaning has been observed in sows of the blood lines AOZD 60805Y and AOZD 62201Y (11,60 %), which was 1,44 % more than in sows of the blood line AOZD 62101Z. Higher heavy litter has been observed in piglets obtained from sows of the blood line LVS 40002X – 1,73 kg, which was 13,83 % more than the same indicator in the blood line AOZD 60805Y. On the basis of the conducted studies we came to the conclusion that from the considered blood lines of sows of Landrace breed of Canadian selection the blood line AOZD 62704Y can be distinguished by its reproductive and productive traits, since it has the maximum number of piglets born and the largest litter weight at birth. At the same time, the blood line LVS 40002X has been characterized by the best indicators of livability and heavy litter of piglets.
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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) | 0.001 | 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".