Perspectives on the specific targeting of <i>Fusarium graminearum</i> for the development of alternative head blight treatment approaches
Bibliographic record
Abstract
Diseases of agricultural crops caused by fungi have devastating economic and health effects. Fusarium head blight ( FHB ) is one of the most damaging diseases of wheat and other small grain cereals. FHB reduces agricultural yield while also affecting food supply and safety through deposition of toxins (mycotoxins/phytotoxins). Control of FHB growth and toxin accumulation in grains remain major challenges. While the ultimate goal in the battle against FHB is the development of resistant wheat varieties, the actual use of fully resistant plants that preclude any need for treatment with fungicides remains out of sight. Current antifungals being applied against FHB are generally azole‐based inhibitors. However, usage of these azole‐based fungicides is being complicated by the facts that these are active only during specific short‐lived developmental time periods, fungi are developing increased resistance to them and they are having significant environmental impacts. As such, there is a great need for more targeted, specific and effective antifungal agents to address the significant threat of FHB . This review provides an overview of some of the more promising fungal targets that are currently being investigated for antifungal development.
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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 | 0.001 | 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".