Microsatellite-based evaluation of <i>Ribes</i> spp. germplasm
Bibliographic record
Abstract
There is a lack of published microsatellite data which characterizes Ribes spp. To address this, an initial study of simple sequence repeat (SSR) variation was undertaken in 41 cultivars belonging to four species of the genus Ribes to evaluate its genetic variability. The cultivars were collected in Piedmont, northwest Italy, together with one cultivar from Switzerland. Twenty SSRs were screened for amplification and polymorphism. Seven failed to amplify, and therefore the remaining 13 were selected and used to fingerprint all the cultivars. Microsatellite analysis resulted in the identification of 38 genotypes, suggesting the existence of possible clonal genotypes and synonyms. Among the cultivars analyzed, two tetraploid accessions were found. The evaluation of genetic variability in Ribes is of fundamental importance for future nutritional breeding programs and to preserve genetic resources, as cultivar characterization permits better management of plant collections.
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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 | 0.000 | 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 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".