A cDNA-AFLP Based Linkage Map Constructed with 67 Loci in F<sub>2</sub> Population of Caixin (<i>Brassica rapa</i> var. <i>parachinensis</i>)
Bibliographic record
Abstract
A cDNA-AFLP based linkage map of Caixin ( Brassica rapa var. parachinensis ) was constructed by an F 2 population with 92 individuals from a cross of the parents of early flowering and late flowering Caixin. The fifteen selective primers generated total 229 bands with the average of 15.3 bands per primer 113 bands were polymorphic accounting for 17.5 bands per primer. The high banding primer combination was ME1M1 yielding 30 bands while the low banding primer combination was E2M5 only yielding 8 bands. The primer combination, E3M1, generated the most polymorphic bands (120), but the E1M4 and E2M5 were the least (4). Chi square test (χ 2 ) showed there was significant segregation distortion existing in the population. The linkage map was constructed based on cDNA-AFLP data, which consists of 4 linkage groups including 67 loci and spanning 334 cM with an average genetic distance of 4.99 cM.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".