Mycotoxins in barley and oat samples from eastern Canada
Bibliographic record
Abstract
In Eastern Canada Fusarium species infect barley (Hordeum vulgare L.) and oats (Avena sativa L.) more frequently than wheat (Triticum aestivum L.), yet information on mycotoxin contamination in barley and oats is lacking. Such information is essential to determine the need for control of fusarium head blight in barley and oats. Therefore, data were retrieved from the Mycotoxin Databank of the Canadian Food Inspection Agency to study mycotoxin contamination in Eastern Canada's barley and oats. Of the 116 barley samples collected from 1991 to 1998 crops, 84 (72%) were contaminated with deoxynivalenol (DON). Some samples contained up to 8–9 mg kg −1 of DON. DON contamination was particularly severe in recent years (1996, 1997, and 1998). DON contamination was less frequent and less severe in oats in comparison with barley. Only 34 of the 73 oat samples (47%) contained DON. Thirty-four percent of the barley samples (18/53) and 15% of the oat samples (4/26) contained nivalenol. Zearalenone, ochratoxin A, 3-acetyl DON, 15- acetyl DON, and T-2 were also detected at a low frequency; but HT-2, diacetoxyscirpenol (DAS), fusarenon X, 15-acetoxyscirpenol, and neosolaniol were not detected in these samples. The results suggest that breeding barley for resistance to DON accumulation is warranted in Eastern Canada. Key words: Barley, Hordeum vulgare, oat, Avena sativa, mycotoxins, deoxynivalenol
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 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".