Effect of 3<scp>B</scp>, 5<scp>A</scp> and 3<scp>A QTL</scp> for <scp>F</scp>usarium head blight resistance on agronomic and quality performance of <scp>C</scp>anadian winter wheat
Bibliographic record
Abstract
Abstract The objectives of this study were to investigate (i) the correlations between F usarium head blight ( FHB ) index, deoxynivalenol ( DON ) accumulation and percentage of F usarium ‐damaged kernels ( FDK ) with agronomic and quality traits and (ii) the effect associated with the presence of single QTL s for FHB resistance on agronomic and quality traits in winter wheat. The population was derived from the cross between ‘ RCATL 33' ( FHB resistance derived from ‘ S umai 3’ and ‘ F rontana’) and ‘ RC S trategy’. Parental lines and recombinant inbred lines ( RIL s) were genotyped with SSR markers associated with the 3 B , 5 A and 3 A QTL s. The population was planted in FHB ‐inoculated nurseries and in agronomy trials. Lines in the 3 B QTL class had the lowest FHB index, DON content and FDK level and did not have a significantly lower yield, thousand kernel weight or protein content compared with the lines grouped in other QTL classes (including no QTL class). Marker‐assisted selection of the 3 B QTL for FHB resistance into high‐yielding FHB ‐susceptible winter wheat is the recommended approach for the development of lines with increased FHB resistance without significant yield and quality penalties.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".