Diversity in coffee assessed with SSR markers: structure of the genus <i>Coffea</i> and perspectives for breeding
Bibliographic record
Abstract
The present study shows transferability of microsatellite markers developed in the two cultivated coffee species (Coffea arabica L. and C. canephora Pierre ex Froehn.) to 15 species representing the previously identified main groups of the genus Coffea. Evaluation of the genetic diversity and available resources within Coffea and development of molecular markers transferable across species are important steps for breeding of the two cultivated species. We worked on 15 species with 60 microsatellite markers developed using different strategies (SSR-enriched libraries, BAC libraries, gene sequences). We focused our analysis on 4 species used for commercial or breeding purposes. Our results establish the high transferability of microsatellite markers within Coffea. We show the large amount of diversity available within wild species for breeding applications. Finally we discuss the consequences for future comparative mapping studies and breeding of the two cultivated species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".