FUSARIUM ROOT ROT OF SOYBEAN IN SOUTHERN ALBERTA: PATHOGEN AGGRESSIVENESS AND DISEASE MANAGEMENT
Bibliographic record
Abstract
Fusarium root rot is a major disease of soybean (Glycine max) in many regions worldwide. As soybean is a relatively new crop in Alberta, Canada, studies were undertaken to determine the occurrence and severity of root rot in this province, identify and characterize the Fusarium species associated with disease development, and evaluate seed treatments and host resistance as disease management tools. Root rot was found in all soybean crops surveyed in 2013 and 2014. A total of seven species of Fusarium were identified from infected roots based on their morphological characteristics, with Fusarium avenaceum, F. solani, F. oxysporum, and F. acuminatum occurring most frequently. In greenhouse bioassays, isolates of F. proliferatum and F. acuminatum were the most aggressive, although some isolates of F. acuminatum caused little disease. Seed treatment with ipconazole + metalaxyl + fludioxonil, ipconazole + metalaxyl, fludioxonil + metalaxyl, or penflufen + prothioconazole + metalaxyl resulted in relatively high crop emergence rates (≥70%) under field conditions, while in greenhouse experiments, ipconazole + metalaxyl and carbathiin + thiram provided the best results. The resistance of soybean genotypes to F. avenaceum varied significantly, with genotype 90M01 having the highest emergence rate (83%) under field conditions. In greenhouse trials, the genotype Tundra was most resistant to root rot, whereas TH29002RR was the most susceptible. The results suggest that while root rot represents a significant challenge to soybean production in Alberta, fungicidal seed treatments and planting of genotypes with improved resistance may help to mitigate the impact of this disease.
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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) | 0.000 | 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".