Genetic analysis and genome mapping in<i>Raphanus</i>
Bibliographic record
Abstract
The first genetic map of the Raphanus genome was developed based on meiosis in a hybrid between Raphanus sativus (cultivated radish) and Raphanus raphanistrum (wild radish). This hybrid was used to produce a BC1 population of 54 individuals and an F2 population of 85 individuals. A total of 236 marker loci were assayed in these populations using a set of 144 informative Brassica RFLP probes previously used for genetic mapping in other crucifer species. The genetic maps derived from the BC1 and F2 populations were perfectly collinear and were integrated to produce a robust Raphanus map. Cytological observations demonstrated strict bivalent pairing in the R. sativus x R. raphanistrum hybrids. Productive pairing along the length of each chromosome was confirmed by the identification of nine extensive linkage groups and the lack of clustering of marker loci. Indeed, the distributions of both marker loci and crossovers was more random than those reported for other crop species. The genetic markers and the reference map of Raphanus will be of considerable value for future trait mapping and marker-assisted breeding in this crop, as well as in the intergenomic transfer of Raphanus genes into Brassica crops. The future benefits of comparative mapping with Arabidopsis and Brassica species are also discussed.
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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 | 0.000 |
| 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".