Genotyping and Phenotyping of the Potential Clones, Biotypes and Variants of Grapevine Cultivar Korinthiaki Staphis (Vitis vinifera L.)
Bibliographic record
Abstract
This study presents the results regarding the identification and discrimination of twenty seven possible clones of grapevine cultivar Korinthiaki staphis (Vitis vinifera L.), three biotypes of Korinthiaki lefki and the related cultivar Staphidampelo using the ampelographic description and the molecular method AFLP. The results from the statistical analysis showed that all the biotypes of cultivar Korinthiaki staphis show small distance and are grouped in the same cluster, depending on their origin, while Staphidampelo and Korinthiaki lefki are neither variants nor biotypes of the cultivar Korinthiaki staphis but different cultivars since they are very distant compared to the other biotypes and moreover, Korinthiaki lefki is in a separate cluster of the dendrogram. The ampelographic description in combination with the molecular method AFLP are effective for the study of the between and within genetic diversity of grapevine cultivars as well as for their identification and discrimination. The results of this study can constitute the base for the implementation of the clonal selection for grapevine cultivar Korinthiaki staphis and the seclusion of the desired clones.
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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 | 0.000 |
| 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 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".