Морфологические и биохимические свойства крови свиней канадской селекции
Bibliographic record
Abstract
The research purpose was the study of hematological features and natural resistance of Yorkshire, Landrace and Duroc pigs of Canadian selection in the conditions of the Lower Volga region. The research objectives were as following: investigating the dynamics of some blood values of experimental animals and studying the immune status of animals. It was revealed that the red blood cells content in Yorkshire and Duroc yelts was higher than that in their Landrace contemporaries by 2.5% and 1.6%, and the leukocytes content by 5.4% and 2.4% accordingly. Similar hemoglobin values variations were revealed. The least content of total protein in blood serum was revealed in Duroc animals. They yielded by that value to their analogues of Yorkshire breed by 2.03% and Landrace breed by 1.40%. The Yorkshire animals exceeded the Landrace and Duroc contemporaries by lisocyme content by 4.2% and 1.8%. Blood neutrophil attraction was also higher in Yorkshire animals. The advantage in that indicator compared to Landrace and Duroc animals amounted to 3.1 and 2.2%. In the blood of Yorkshire yelts the count of phagocytizing neutrophils compared to Landrace yelts was higher by 4.3%, and by 3.7% compared to Duroc yelts. The Yorkshire yelts exceeded their analogues of other groups by phagocytic index. Thus, it was proved, that higher natural resistance among compared breeds was revealed by Yorkshire yelts. The Landrace and Duroc animals also revealed rather high adaptability, but they somewhat yielded by that character to the Yorkshire contemporaries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".