Epidemiology and Management of Foliar Diseases in Asparagus (Asparagus officinalis L.)
Bibliographic record
Abstract
Foliar diseases caused by Stemphylium vesicarium and Puccinia asparagi are an increasing problem in the major asparagus production regions of eastern and central Canada. Replicated and repeated controlled environment and field trials were conducted in Ontario to assess the disease reaction of host crops, compare fungicide efficacy and the Tom-Cast forecasting model, test fertilizer amendments and investigate the epidemiology of Pleospora herbarum (teleomorph of S. vesicarium) on asparagus fern. All of the lines of asparagus assessed were susceptible to infection by S. vesicarium, however, certain lines from the University of Guelph demonstrated quantitative resistance to rust (P. asparagi). Purple spot infection on spears was not consistently correlated with severity on ferns. Stemphylium vesicarium can cross-infect asparagus, but some host adaptation or specialization, possibly via host-specific toxins, appears likely. The pathogen was shown to colonize necrotic leaves of fall rye, which is often used as a cover crop in asparagus fields. Several fungicides demonstrated promising efficacy against rust, however, less control of S. vesicarium was observed. The forecasting model Tom-Cast had limited success in both low and high fertility programs. The results show that forecasting models need to be validated locally, in asparagus cultivars relevant to production today. The development of pseudothecia on fern was correlated with fern yellowing and chlorophyll concentration in outdoor trials, however, no pseudothecia developed in controlled environment studies. Greater understanding of the environmental factors that contribute to pseudothecia maturity would enable growers to better time management strategies. The presented study has contributed to the understanding of the etiology and epidemiology of S. vesicarium in asparagus, and also validated and tested new tools for control of foliar disease in asparagus. An integrated disease management strategy that includes cultivar selection, timely application of fungicides and inoculum management may reduce crop losses and asparagus decline.
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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".