Construction of a genetic map of barley (<i>Hordeum vulgare</i>L.) cross 'Azumamugi' × 'Kanto Nakate Gold' using a simple and efficient amplified fragment-length polymorphism system
Bibliographic record
Abstract
We have devised a simple and efficient amplified fragment-length polymorphism (AFLP) system consisting of small slab gels, a discontinuous buffer system, and silver staining. Using this system, a single worker developed a barley map with 227 polymorphic fragments in 2 months. As a mapping population, 99 recombinant inbred lines of barley cultivars 'Azumamugi' x 'Kanto Nakate Gold' were used. Most of the 227 AFLP fragments showed a Mendelian segregation ratio of 1:1, and all were assigned to the seven barley chromosomes. Thus, these fragments are useful as molecular markers. They were integrated with 40 previously characterized sequence-tagged sites, 3 isozymes, and 2 morphological markers to construct an integrated map. The resulting map covered 925.6 cM with 272 markers (detecting 150 loci) at an average interval of 6.5 cM/locus. This system greatly simplifies map construction.
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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 | 0.000 |
| 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) | 0.000 | 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".