Economic impact of the improvements on Fusarium head blight management in winter wheat in relation to modernization of agronomic practices
Bibliographic record
Abstract
Fusarium head blight (FHB) is an important disease of wheat that causes significant economic losses. Since a major FHB epidemic in Ontario in 1996, FHB management strategies, namely genetic resistance and fungicides have improved significantly. The value of these improvements along with the modernization of agronomic practices was uncertain. Field experiments were conducted in 2017 and 2018 to estimate the impacts of these improvements to FHB suppression and wheat performance. The combination of moderately resistant cultivars and fungicides reduced total deoxynivalenol by 67%, Fusarium-damaged kernels by 49%, FHB index by 86%, and increased test weight by 11% and yield by 21-32%. If adopted in 1996, these modern practices would have increased farm revenue by 58% and profit by $206.55 ha-1. Up to 54% of the loss in 1996 would have been mitigated, suggesting significant improvements were made, leaving about the same amount of room for improvement.
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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 | 0.001 | 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".