Cherry Leaf Spot Disease Management in Ornamental Cherries in Mid-Tennessee.
Bibliographic record
Abstract
Cherry leaf spot (CLS) disease caused by Blumeriella jaapii is a significant constraint in nursery production of flowering cherries in the southeastern United States. The objectives of this study were to evaluate six commercial cultivars for host resistance to CLS and identify effective fungicides that can be recommended to growers. Out of six cultivars ‘Kwanzan’, ‘Okame’, ‘Autamnalis’, ‘Snowgoose’, ‘Yoshino’, and ‘Akebono’ evaluated for host resistance, only ‘Kwanzan’ displayed moderate resistance with the least amount of disease symptoms in a shade-house environment, followed by ‘Autamnalis’. ‘Yoshino’ was most susceptible to CLS in both the shade-house and field experiments. Out of seven fungicides evaluated individually and in rotations, captan in rotations with tebuconazole and trifloxystrobin and captan in rotations with chlorothalonil and acibenzolar-S-methyl were most effective in controlling CLS. A biopesticide (neem seed oil extract) and a biological control isolate (Stenotrophomonas spp.) were also effective in controlling CLS either alone or in rotation with conventional fungicides. This study identified effective fungicides, a biopesticide, and a biological agent that can be used along with resistant cultivars in CLS disease management.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".