EVALUATION OF THE CONTRIBUTION OF DIFFERENT PIG POPULATIONS TO THE GENETIC DIVERSITY OF THE LARGE WHITE BREED
Bibliographic record
Abstract
The characteristic of the allele pool of the Large White and Yorkshire pig breeds using 11 microsatellites (S0155, S0355, S0386, SW72, SW951, S0101, SW240, SW857, S0228, SW911 and SW936) was done. The study was performed on 17 pig populations of Russian, Danish, Hungarian, Canadian, Lithuanian, German, Ukrainian and French origins (n = 837). The data were analyzed using GenAlEx (v. 6.4), Structure (v. 2.3.1) and Past (v. 2.15) software. It was shown that 24.2 per cent of the total microsatellite diversity was due to intra population differences (Rst = 0.242, p = 0.01). Based on Fst and Rst (AMOVA) values the greater contribution of geographically distant and local populations into microsatellites diversity was observed. The cluster analysis performed according J.K. Pritchard (2000) and M. Nei (1983) showed that the cluster structure was in concordance with populations' 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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".