Genetic diversity among accessions of an ancient olive variety of Cyprus
Bibliographic record
Abstract
To evaluate germplasm variability and to discriminate between accessions of 'Ladolia', an ancient olive variety of Cyprus, different accessions from a germplasm collection were screened with 11 selected oligonucleotide primers in RAPD-PCRs. A total of 49 polymorphic markers were scored, the combination of which resulted in 70 distinct electrophoretic patterns. Based on either unique or combined patterns, all accessions were identified. Seven genotype-specific markers were detected. One RAPD marker could distinguish accessions according to fruit size. Genetic similarities between accessions, estimated using the Dice similarity coefficient, indicated a high degree of genetic diversity among 'Ladolia' accessions. Genetic relationships were estimated by the unweighted pair-group method with arithmetic averaging (UPGMA) and principal components analysis (PCA). Three main groups of accessions were detected. The first group was generally composed of accessions with small-sized fruits and could be further divided into two subgroups. According to PCA, most accessions with medium- or large-sized fruits were clustered together. Our results support previous observations suggesting that 'Ladolia' is actually a highly variable mixture of genetically distinct landraces.
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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".