Genetic diversity in European and Argentinian cultivated potatoes (<i>Solanum tuberosum</i>subsp.<i>tuberosum</i>) detected by inter-simple sequence repeats (ISSRs)
Bibliographic record
Abstract
In this study, the use of inter-simple sequence repeats (ISSR) to assess genetic diversity between cultivated potatoes (Solanum tuberosum subsp. tuberosum) is reported. ISSR technology rapidly reveals high polymorphic fingerprints and thus determines the genetic diversity among potato cultivars. Nine primers were selected according to the number of amplified markers and the level of polymorphism detected. Three primers (GAG(CAA)5, CTG(AG)8, and (AG)8) were used to cluster the 28 potato accessions and 77 polymorphic markers were sufficient to identify all of the accessions. Among the 15 simple sequence repeat (SSR) motifs tested, the most abundant were CAA and AG. Argentinian- and European-grown potatoes were easily distinguished, with a higher level of genetic diversity among potatoes from Argentina. An ISSR study using a limited number of cultivars and very few primers clearly differentiated between all cultivars, thus ISSR was revealed to be a good tool for the genetic identification of potato and for future germplasm-management programs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 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".