<i>Fusarium</i> species and mycotoxins associated with oat in southwestern Ontario, Canada
Bibliographic record
Abstract
Fusarium graminearum Schwabe [teleomorph: Gibberella zeae Schwein. Petch] is the predominant Fusarium species pathogenic to wheat, barley and corn in Ontario and produces the mycotoxin deoxynivalenol (DON) in grain. The first objective of this study was to determine the Fusarium spp. and mycotoxin concentrations (DON, HT-2, and T-2) from commercial oat (Avena sativa L.) fields grown in the same area as wheat, corn and barley in Ontario. The second objective was to measure DON level across cultivars grown in the Ontario Performance Trial (OPT) after spray-inoculation with F. graminearum. Fusarium sporotrichioides, F. graminearum and F. poae were the predominant species identified in oat. The highest level of DON in commercial oat fields were 0.3, 0.1, 0.2 and 1.2 ppm in 2005, 2006, 2007 and 2008, respectively. The highest concentrations of HT-2, and T-2 in 2006 were 0.5 and 0.2 ppm, respectively, whereas the levels in 2007 were both under 0.2 ppm. The relatively low level of DON in commercial oat fields confirmed that oat is in general less affected with F. graminearum than other cereals. However, this study supports the importance of monitoring Fusarium spp. and concentrations of mycotoxins in oat in Ontario, especially during growing conditions, as experienced in 2008, which favored Fusarium infection and DON accumulation. Differences in percent of Fusarium spp. infected kernels and DON level (ppm) were identified amongst the cultivars in the OPT in naturally infected oat samples and after inoculation, respectively. Key words: Oat, Fusarium spp., mycotoxins
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".