Assessment of genetic diversity of soybean accessions using SSR markers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Soybean is a plant species characterized by an extremely narrow genetic base, as a consequence of self-pollination, a long process of domestication and artificial selection. A key phase in maintaining diversity and successful utilization in breeding is the genetic and phenotypic characterization of accessions available in collections. Soybean collection in Maize Research Institute "Zemun Polje" maintains more than 500 accessions from different regions of the world. The aim of this study was to investigate the level of genetic variation in collection, through the sample of 90 soybean genotypes originated from 15 countries, classified in 5 geographical groups (DOM-Serbia, EUR-European, USA-North American, CAN- Canadian, EXO-China and Japan). Twenty SSR primer pairs were selected for the molecular analysis. To assess the genetic relations among accessions, cluster analysis employing UPGMA method was performed.
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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 | 0.001 |
| 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 it