Linkage group alignment of sorghum RFLP maps using a RIL mapping population
Bibliographic record
Abstract
Several molecular maps have been constructed in sorghum (Sorghum bicolor L. Moench) using a variety of probes from different grass species such as sorghum, maize, sugarcane, rice, oat, and barley. In order to enhance the utility of the existing mapping information by the sorghum research community, alignment and integration of all major molecular maps is necessary. To achieve this objective, a genetic map of 214 loci with a total map distance of 1200 cM was constructed using 98 F7 sorghum recombinant inbred lines (RILs) from a cross between two inbred lines, B35 and Tx7000. Few cDNA clones of sorghum and maize related to photosynthesis and drought stress were mapped on this map for the first time. Five major restriction fragment length polymorphism (RFLP) maps independently developed in this species were used for alignment purpose. The distributions of previously mapped markers were compared with their respective sorghum maps to align each of the linkage groups. In general, consistent linear order among markers was maintained in all the linkage maps. The successful alignment of these RFLP maps will now allow selection of a large number of markers for any region of the sorghum genome with many potential applications ranging from fine mapping and marker-assisted selection to map-based cloning for the improvement of sorghum and related species.
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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".