Molecular characterization of a novel mutation in the <i>E1</i> flowering gene induced by gamma irradiation in soybean
Bibliographic record
Abstract
Soybean is a typical short-day (SD) plant. It undergoes reproductive growth only when the day length becomes shorter than a critical length. Fourteen major genes/loci affecting soybean flowering and maturity period have been mapped to date. These are E1 and E7 on chr6, E1La, E1Lb, E6, E8, and J on chr4, E2 on chr10, E3 on chr19, E4 on chr20, E9 on chr6, E10 on chr8, Dt1 on chr19, and GmAGL1 on chr14. The functional allele of all these genes, except E6, E9, J, and GmAGL1, delay flowering, while the non-functional counterpart accelerates flowering and maturity. The contribution of the E1 gene in delaying flowering is highest. Four non-functional/dysfunctional allelic variants of the E1 gene are already known, which accelerates the flowering by 20–25 days and are being used in development of early maturing soybean varieties in many parts of the world. In this study, seeds of the late maturing Indian variety NRC 37 were irradiated with gamma rays to develop an early maturing variety. One early maturing variant was obtained. Molecular characterization of the gene responsible for early flowering proved it to be a non-functional variant of the E1 gene with major deletion.
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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 | 0.000 | 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) | 0.001 | 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 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".