Epidemiology of colletotrichum acutatum, cause of anthracnose on highbush blueberry, in British Columbia
Bibliographic record
Abstract
Blueberry anthracnose reduces yield and post-harvest quality of blueberries in British Columbia.Isolates recovered from diseased fruit during 2002-2004 were identified as Colletotrichum acutatum using colony morphology, growth rate, and PCR.Leaf-wetness and temperature data indicated that plants exposed to prevailing environmental field conditions and natural inoculum in 2001-2003 required 10 hr of leaf wetness at 1 1•‹C for successful fruit infection.Three peaks of infection occurred; at blossoming, mature green berry stage, and ripening.Artificially inoculated plants in 2004 were found to be susceptible throughout the season, indicating that inoculum availability and weather conditions primarily affected disease.The pathogen overwintered mostly in flower buds and infection in May-July of the preceding season resulted in the greatest inoculum recovery.Two fungal biocontrol agents, Gliocladium catenulatum and Trichoderma harzianum, reduced anthracnose by up to 45% when applied thrice in 2003-2004.Infection requirements and related epidemiological data support effective management of this disease.throughout my graduate studies at Simon Fraser University.I have benefited immensely from his kind words, inspiring confidence, and frank encouragement.I also thank Dr. Rahe for his suggestions and delightfully satisfying conversations on all topics, plantpathology related or otherwise.Ms. MacDonald was extremely supportive and warmly accepting of my venture into a
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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".