[Detection and analysis of QTL for seed dormancy in rice (Oryza sativa L.) using RIL and CSSL population].
Bibliographic record
Abstract
A recombinant inbred line (RIL) population and two chromosome segment substitution line (CSSL) population derived from the cross of Asominori (japonica) and IR24 (indica) were used to detect QTL controlling seed dormancy. CSSL1 were a series of IR24 chromosome segment substitution lines in Asominori background, and CSSL2 were a series of introgression lines of Asominori in the background of IR24. Three QTL were detected on chromosome 3, 6 and 9 in RIL population, and individual QTL accounted for between 12.3% and 13%. Three QTL were detected on chromosome 1, 3 and 7 in CSSL1, and individual QTL accounted for between 11.5% and 18.9%. Three QTL were detected on chromosome 1, 2 and 7 in CSSL2, and individual QTL accounted for between 11% and 16%. The QTLs on chromosome 1 and 7 were detected in CSSL1 and CSSL2 populations simultaneously, QTL came from Asomonori, the moderate dormant cultivar, increased seed dormancy, and QTL from IR24, the weakly dormant cultivar, decreased seed dormancy. It can be deduced that there exist genes controlling seed dormancy at this region.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".