Multiplexed PCR to screen for a major QTL carrying fusarium head blight resistance in Sumai-3 wheat
Bibliographic record
Abstract
After the initial identification of microsatellites linked to economically important traits of interest, the additional investment to simplify the screening procedure for more routine use is of interest to plant breeders. The objective was to simplify an acrylamide gel based marker-assisted selection (MAS) method to facilitate high-through put screening for Qfhs.ndsu-3BS, a major quantitative trait locus carrying fusarium head blight (FHB) resistance in Sumai-3 wheat (Triticum aestivum L.). Method simplifications included incorporating the use of (1) 96-well DNA extractions, (2) multiplexed PCR reactions using microsatellite primers gwm493 and gwm533, and (3) agarose gels. Our modified FHB-MAS method was verified by screening six resistant (Sumai-3, ND2710, McVey, BacUp, HY644, and Alsen) and 52 susceptible parents and subsequently used to screen 5567 common wheat breeding lines developed from Sumai-3 derivatives. This simple and rapid method allows for the screening of 1000 lines per week, which can be used to skew segregating populations towards more resistant types and thereby advance primarily early and advanced generation lines that carry at least the major FHB QTL. Key words: PCR, Fusarium, microsatellites, gwm493, gwm533, Triticum
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".