Bibliographic record
Abstract
Oat is an important cereal crop for the food and feed industries. Genetic resources of oat are the basic materials for sustainable breeding programs. Microsatellites (SSR) are a useful tool for understanding the genetic background of oat germplasm resources. We used 83 SSR primer pairs to assess the genetic diversity of 286 oat accessions from five countries. The results indicated the presence of considerable variation among accessions. The number of alleles per SSR locus ranged from 2 to 8, with an average of 3.49; allelic frequencies ranged from 0.002 to 0.709; Nei’s genediversity was 0.67, ranging from 0.44 to 0.85; and polymorphism information content (PIC) values ranged from 0.37 to 0.83. Genetic distance estimated by the Jaccard model was compared between accession groups as well as among all accessions using all marker alleles. The principle coordinates analysis based on genetic dissimilarity also revealed distinct groups of accessions. We concluded that SSR markers are effective for identification of oat germplasm resources and use of germplasm from North America and Asia should lead to significant progress in Mongolian oat breeding programs.
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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 | 0.000 | 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 | 0.001 | 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 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".