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 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 | 0.001 |
| 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 | 0.001 |
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".