Comparison of mycotoxin profiles among cereal samples from eastern Canada
Bibliographic record
Abstract
The relative susceptibilities of major cereal species to mycotoxin contamination have rarely been studied in eastern Canada or elsewhere. The concentration of 13 mycotoxins in 673 corn (Zea mays L.), 99 wheat (Triticum aestivum L.), 116 barley (Hordeum vulgare L.), and 73 oat (Avena sativa L.) samples collected from eastern Canada from 1991 to 1998 crops were compared. Deoxynivalenol (DON) was found to be the most common mycotoxin in all four species. DON contamination was more frequent but less severe in corn than in wheat and barley, and it was least frequent and least severe in oats. Wheat and barley were equally susceptible to DON contamination. The DON content of 8.9% of the corn, 31.3% of the wheat, 22.4% of the barley, and 1.4% of the oat samples exceeded 1 mg·kg -1 , the maximum tolerance level recommended for swine feed. Contamination with zearalenone, T-2, HT-2, diacetoxyscirpenol, ochratoxin A, nivalenol, fumonisins, 3-acetyl DON, or 15-acetyl DON was minor in eastern Canada and varied from species to species. Fusarenon X, 15-monoacetoxyscirpenol, and neosolaniol were not detected. Equally significant, approximately one third of the corn and barley samples were contaminated with two to seven mycotoxins. The presence of two or more mycotoxins could have additive or synergistic effects on the toxicity. Measures to reduce DON contamination are needed for corn, wheat, and barley.Key words: Fusarium, mycotoxins, corn, wheat, barley, oats.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".