Characterization of <i>Neopestalotiopsis</i> species associated with lingonberry ( <i>Vaccinium vitis-idaea</i> L.) diseases in Canada
Bibliographic record
Abstract
Lingonberry (Vaccinium vitis-idaea L.) is a dwarf shrub that is native to Northern climates. The berries are harvested from wild plants and the disease incidence in the crop is generally low. However, disease pressure may increase since the surface area dedicated to the crop is expected to expand in the future. In 2021 and 2022, brown necrotic leaves and stem dieback symptoms were observed on lingonberry plants grown at the St. John’s Research and Development Center, Newfoundland and Labrador, Canada. Pathogens were isolated from the diseased plant tissues and identified as Neopestalotiopsis rosae (n = 2) and Neopestalotiopsis zimbabwana (n = 2) using colony and conidia morphology as well as sequencing of the Internal Transcribed Spacer (ITS), beta-tubulin gene (ß-tub), and the translation elongation factor 1-alpha gene (tef1). Pathogenicity assays in detached lingonberry and strawberry leaves as well as lingonberry plants indicated that all four isolates were able to cause disease. This is the first report of N. rosae and N. zimbabwana causing leaf spot and stem dieback of lingonberry. Further monitoring of this disease is important to understand its prevalence in berry crops, as Neopestalotiopsis spp. in Canada have been reported to occur since 2018 in strawberry and other small fruits. Control measures and strategies are required to mitigate the potential risk from the disease, as there are no registered fungicides available to the growers.
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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".