Marker-assisted breeding of a durum wheat cultivar for γ-gliadin and LMW-glutenin proteins affecting pasta quality
Bibliographic record
Abstract
The pasta quality of durum wheat is one of the most important properties for the industry and consumers. Therefore, breeding for improved grain quality without yield penalties, using modern breeding methods, has been a primary objective in durum wheat breeding programs in recent years. In this study, 2 important gene regions that encode pasta-quality associated proteins (/gamma-gliadin 45 and LMW-2 glutenin) were transferred to a registered Turkish durum wheat variety, Sarıçanak-98, from a high-quality Canadian durum wheat cultivar, Kyle, through a marker-assisted backcross breeding method. Each of the F1 and backcross (BC) plants were backcrossed 4 times to the recurrent parent, and the backcrossed plants carrying the targeted gene regions in all generations were selected by marker-assisted selection (MAS). DNA markers in combination with A-PAGE were used for tracking the introgression of the targeted gene regions. Transfer of Gli-B1 locus encoding /gamma-gliadin 45 and Glu-B3 locus encoding LMW-2 glutenin to the wheat variety Sarıçanak-98 led to a considerable increase in protein content and gluten quality.
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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 | 0.000 | 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) | 0.000 | 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".