The incidence of<i>Fusarium</i>species recovered from inflorescences of wild grasses in southern Manitoba
Bibliographic record
Abstract
Wild grasses were collected in June, July, and August, in 1999 and 2000, from three southern Manitoba locations: the Cereal Research Centre Field Station at Glenlea, the Tolstoi Tall-Grass Prairie Preserve, and the Living Prairie Museum in Winnipeg. A total of 1766 plants representing 34 species were collected and examined for the presence of Fusarium spp. Spikelets of the inflorescences were surface sterilized, plated on potato dextrose agar amended with streptomycin, and the isolated Fusarium spp. identified. Fusarium graminearum was the predominant species found. This species was isolated from 8% of the grass inflorescences examined and accounted for 62% and 59% of all species isolated at Glenlea and Tolstoi, respectively. At the Living Prairie Museum, only F. sporotrichioides was found. Other Fusarium spp. isolated at low frequencies included F. equiseti, F. oxysporum, F. avenaceum, F. culmorum, and F. poae. A seasonal trend in recovery of species was observed. In June, only F. graminearum and F. sporotrichioides were isolated from early flowering grass species. In July, F. equiseti, F. oxysporum, and F. culmorum also were isolated, while in August all seven Fusarium spp. were found. Fusarium graminearum occurred on 11 of the 34 grass species examined, and 7 of these grasses are reported as hosts in Canada for the first time. These results indicate that wild grasses harbor several species of Fusarium, including F. graminearum, the predominant species causing fusarium head blight in cereal crops in Manitoba.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".