Molecular Characterization and Genetic Diversity of Yellow Passion Fruit Based on RAPD Markers
Bibliographic record
Abstract
Molecular genetic variability studies are essential to complement the agronomic characterization of yellow passion fruit genotypes (Passiflora edulis Sims). Therefore, this study aimed at evaluating the genetic diversity of 24 genotypes of yellow passion fruit obtained from a research program developed by the University of Brasilia and Embrapa Cerrados, using RAPD molecular markers. RAPD markers were obtained from eight decamer primers and converted into a matrix of binary data, from which genetic dissimilarities among genotypes were estimated, and clustering analysis was performed. A total of 54 RAPD markers were obtained, with 6.8 bands per primer on average. From this total, 46 (85.2%) RAPD markers were polymorphic. The OPD10 primer presented the highest number of polymorphic bands. The high percentage of polymorphic markers evidenced the existence of genetic variability among genotypes. Nei’s genetic distance between genotypes ranged from 0.043 to 0.451. Clustering resulted in the formation of at least five groups of similarity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".