Genetic diversity analysis based on ISSR, RAPD and SSR among Turkish Apricot Germplasms in Iran Caucasian eco-geographical group
Bibliographic record
Abstract
► Genetic diversity was evaluated among Turkish apricot germplams. ► There was high level of variation in apricot accessions. ► Apricots were separated in different groups according to their geographic origin. ► Obtained data can use breeding programs to develop new apricot varieties for breeders. Molecular markers have been used for genetic study and identification of cultivars belonging to different fruit species for a long time. In this study ISSR, RAPD and SSR markers were used to evaluate genetic variation and relationships among 95 apricot and one plumcot cultivar located in the Apricot Germplasm Repository in Malatya, Turkey. All three marker systems distinguished the apricots in various levels. The highest polymorphism (98%) was obtained with simple sequence repeat (SSR), followed by inter-simple sequence repeat (ISSR) (88%) and randomly amplified polimorfic DNA (RAPD) markers (77%). The similarity values were between 0.49 and 0.94 among apricot cultivars. ‘Sekerpare Igdir’ and ‘Sekerpare Benzeri’ were the most similar (0.94). The UPGMA dendrogram constructed using combined data of three marker systems separated the genotypes into two main clusters: one cluster included genotypes originating from Malatya and the other regions, and the second cluster contained cultivars mostly from Mediterranean region. The plumcot cv. ‘Kayisi Erigi’ was outgroup. These results supported that apricots in Turkey indicated considerable genetic diversity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".