Genetic mapping and a new PCR-based marker linked to a dwarfing gene in oat (<i>Avena sativa</i> L.)
Bibliographic record
Abstract
Short straw is a desired trait in cultivated hexaploid oat (Avena sativa L.) for some production environments. Marker-assisted selection, a key tool for achieving this objective, is limited by a lack of mapping data and available markers. Here, bulked-segregant analysis was used to identify PCR-based markers associated with a dwarfing gene. Genetic analysis identified a monogenic dominant inheritance of one dwarfing gene from WAOAT2132, temporarily designated DwWA. A simple sequence repeat (SSR) marker (AME117) that was already available and a new codominant PCR-based marker (bi17) developed by homologous cloning in the present study were both associated with the dwarfing gene. The two markers were located 21 and 1.2 cM from DwWA, respectively. The bi17 marker was mapped to neighboring SNP markers on chromosome 18D of the oat consensus map. Since Dw6 was previously mapped on chromosome 18, and since our new marker bi17 is also diagnostic for NILs generated for Dw6, there is strong evidence that the dwarfing gene identified in WAOAT2132 is Dw6. The newly developed markers could find applications in the identification of this gene in oat germplasm and in the fine mapping or positional cloning of the gene.
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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 | 0.001 |
| 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 | 0.001 |
| 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".