Redundancy and distinctness in flax germplasm as revealed by RAPD dissimilarity
Bibliographic record
Abstract
Molecular characterization ofex situplant germplasm, although more attainable than before, has rarely been applied to a whole germplasm collection of 2000 accessions or larger. The benefits of screening large numbers of accessions have not been well recognized for germplasm management and utilization. Challenges also exist in identifying duplicated and genetically related accessions and in validating developed core subsets. Here we show how a new approach using an average marker-based dissimilarity of an accession in a collection can be applied to identify both redundancy and distinctness in a plant germplasm collection. Application of this dissimilarity measure to 2727 flax accessions genotyped by 149 randomly amplified polymorphic DNA (RAPD) markers revealed that up to 22% of accessions could be deemed to be redundant. Up to 500 of the most distinct flax accessions were identified and these can be directly screened for traits of interest to broaden the genetic base in a flax improvement programme. These results demonstrate that molecular screening of a large number of accessions with an informative diversity analysis can facilitate the management and utilization ofex situplant germplasm.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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".