Rediscovery of historical<i>Vitis vinifera</i>varieties from the South Anatolia region by using amplified fragment length polymorphism and simple sequence repeat DNA fingerprinting methods
Bibliographic record
Abstract
Anatolia played an important role in the diversification and spread of economically important Vitis vinifera varieties. Although several biodiversity studies have been conducted with local cultivars in different regions of Anatolia, our aim is to gain a better knowledge on the biodiversity of endangered historical V. vinifera varieties in the northern Adana region of southern Anatolia, particularly those potentially displaying viticulture characteristics. We also demonstrate the genetic relatedness in a selected subset of widely cultivated and commercialized V. vinifera collection cultivars, which were obtained from the National Grapevine Germplasm located at the Institute of Viticulture, Turkey. In the present study, microsatellites were used in narrowing the sample size from 72 accessions down to a collection of 27 varieties. Amplified fragment length polymorphisms were then employed to determine genetic relatedness among this collection and local V. vinifera cultivars. The unweighted pair group method with arithmetic mean cluster and principal component analyses revealed that Saimbeyli local cultivars form a distinct group, which is distantly related to a selected subset of V. vinifera collection varieties from all over Turkey. To our knowledge, this is the first study conducted with these cultivars. Further preservation and use of these potential viticultural varieties will be helpful to avoid genetic erosion and to promote continued agriculture in the region.
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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) | 0.001 | 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".