Susceptibility of winter and spring triticales to fusarium head blight and deoxynivalenol accumulation
Bibliographic record
Abstract
Fusarium head blight (FHB), caused by the fungus Fusarium graminearum (Schwabe), is one of the most destructive diseases in cereals worldwide. It may severely reduce both grain yield and quality, with potential contamination from trichothecene mycotoxins such as deoxynivalenol (DON). Spring and winter triticales (X Triticosecale Wittmack) were evaluated in a multi site and year field study to determine their susceptibility to FHB and DON accumulation. Fusarium-damaged kernels (FDK) and DON levels were affected significantly by both cultivar and site-year. Triticales were generally more susceptible to FHB compared with winter and spring wheat checks, as indicated by the higher levels of FDK and DON levels. A significantly positive linear relationship was observed between FDK and DON levels in winter triticales. This relationship in spring triticales was not significant on the combined data, but at each site-year, the regression was strong. FDK can be a good predictor of DON levels when environmental conditions are similar. The Atlantic region would appear to be a very good location in Canada for screening for fusarium head blight resistance. Key words: Winter triticale, spring triticale, cultivar; fusarium head blight, fusarium head blight, fusarium-damaged kernels, deoxynivalenol
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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".