Evaluation of spring wheat head morphologies on Fusarium graminearum infection and tebuconazole efficacy
Bibliographic record
Abstract
Fusarium graminearum' is the primary pathogen causing Fusarium head blight (FHB) in Canada. Deoxynivalenol is a mycotoxin produced by 'F. graminearum' in infected plants, and is a concern for food safety, due to its immunosuppressant, teratogenic and embryotoxic potential in humans. Wheat ('Triticum aestivum' L.) breeders are faced with costly and complex task of breeding for quantitative disease resistance. With limited progress in the commercialization of resistant wheat varieties, growers are applying fungicides where application timing and technique are critical. This thesis investigates the influence of wheat head and plant morphologies on FHB infection and tebuconazole efficacy. Increasing awn length reduced FHB severity, while awn presence interacted with plant height and anther extrusion and also effected the movement of tebuconazole within the wheat head. Tall plants had increased tebuconazole efficacy on FHB severity; dense heads had increased FHB severity; while fully-opened flowering increased FHB indexes. Tebuconazole was more effective against FHB in plants with known resistance QTLs. Morphologies identified in this research could be integrated into breeding programs in an attempt to combine physiological and passive resistance mechanisms.
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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".