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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".