High Risk Strawberry Viruses by Region in the United States and Canada: Implications for Certification, Nurseries, and Fruit Production
Bibliographic record
Abstract
There is limited information about the distribution of strawberry viruses in North America and around the world. Since the turn of the century, there has been a concerted effort to develop sensitive tests for many of the previously uncharacterized, graft-transmissible agents infecting strawberry. These tests were employed to determine the presence of strawberry viruses in major strawberry production and nursery areas of North America. The viruses evaluated in this study were Apple mosaic, Beet pseudo-yellows, Fragaria chiloensis latent, Strawberry chlorotic fleck, Strawberry crinkle, Strawberry latent ring spot, Strawberry mild yellow edge, Strawberry mottle, Strawberry necrotic shock, Strawberry pallidosis, Strawberry vein banding, and Tobacco streak. The aphid-borne viruses were predominant in the Pacific Northwest whereas the whitefly-borne viruses were prevalent in California, the Midwest, and the Southeast. In the Northeast, the aphid-transmitted Strawberry mottle and Strawberry mild yellow edge viruses along with the whitefly-transmitted viruses were most common. The incidence of pollen-borne viruses was low in most areas, with Strawberry necrotic shock being the most prevalent virus of this group. These results indicate that there are hotspots for individual virus groups that normally coincide with the presence of the vectors. The information presented highlights the high-risk viruses for nursery production, where efforts are made to control all viruses, and fruit production, where efforts are made to control virus diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".