A consensus map of barley integrating SSR, RFLP, and AFLP markers
Bibliographic record
Abstract
A consensus map of barley combining simple sequence repeat (SSR), restriction fragment length polymorphism (RFLP), and amplified fragment length polymorphism (AFLP) markers has been developed by combining 5 Australian barley linkage maps, Galleon × Haruna Nijo, Chebec × Harrington, Clipper × Sahara, Alexis × Sloop, and Amaji Nijo × WI2585, using the software package JOINMAP 2.0. The new consensus map consists of 700 markers, with 136 being SSRs, and has a total genetic distance of 933 cM. The consensus map order appears to be in good agreement with the Australian barley linkage maps, with the exception of a small inversion located close to the centromere of chromosome 5H. Similarly, the SSR map orders are in good agreement with SSR markers integrated into the doubled haploid linkage map of Lina × Hordeum spontaneum , Canada Park. The new consensus map provides a framework to cross examine and align partial and complete barley linkage maps using markers common to many barley maps. This map will allow researchers to rapidly and accurately select SSR markers for chromosome regions of interest for barley genetic and plant breeding studies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".