Genetic analysis and molecular markers associated with multi-gynoecia (<i>Mg</i>) gene in Trigrain whea
Bibliographic record
Abstract
Trigrain wheat normally produces up to three gynoecia in a single floret and forms three close-set grains. The gene conferring the multi grain phenotype was earlier designated Mg, the multiple gynoecia gene. Different genetic patterns controlling this trait have been reported. In the present work we studied the inheritance of the three grains trait and identified simple sequence repeats (SSR) markers linked to the Mg gene. Segregation analysis in the cross IGDB-TW (trigrain wheat)/Chinese Spring confirmed that a single dominant gene controlled the three grains trait. An allelism test showed that the same gene controlled the trigrain trait in line Trigrain-Yin 1. A total of 339 microsatellite markers were tested for polymorphism by bulked segregation analysis (BSA) in an F2 population. Six microsatellite markers, Xcfd233, Xgdm6, Xgdm87, Xgwm311, Xgwm349 and Xgwm539, on chromosome 2DL, were linked to Mg. Using the CS 2D deletion lines, Mg gene was localized to the distal region of chromosome 2DL. The microsatellite markers identified in this study have the potential for further mapping and map-based cloning of the gene.Key words: Simple sequence repeats, physical mapping, trigrain wheat
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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 | 0.001 | 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".