New insights on the genetic basis of Portuguese grapevine and on grapevine domestication
Bibliographic record
Abstract
As the ancestor of cultivated grape, Vitis vinifera subsp. sylvestris represents a unique, invaluable genetic resource for the improvement of cultivated grapevines. Recently, five populations of wild grapevines were identified in Portugal. Sixty vines were characterized with 11 nuclear SSR markers and further compared with 70 genotypes of Portuguese Vitis vinifera subsp. sativa. The obtained data demonstrate moderate genetic differentiation between wild grapevine populations and moderate to high genetic differentiation between wild and cultivated grapevines. However, the identification of high degrees of similarity between wild and cultivated grapes (up to 87%) and a putative parent-progeny relationship between wild and cultivated grapes with 17 additional SSR markers is indicative of gene flow between local wild grapevine populations and Portuguese domesticated vines. Also, the ancestry of some Azorean cultivars was ascertained. The obtained data further support the hypothesis of several domestication centres, with Portugal, Spain, and Italy playing a particular role after the last glaciation, giving rise to many of the Western European cultivars.
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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 | 0.000 | 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".