Powdery mildew of California poppy caused by <i>Erysiphe eschscholziae</i> in Mexico
Bibliographic record
Abstract
Severe infection by powdery mildew was observed on California poppy (Eschscholzia californica) plants in Texcoco, State of Mexico, during spring of 2014 to 2017. Symptoms included colonies of white to greyish mildew-like growth on the abaxial and adaxial surfaces of the leaves. The identification of the fungal species was performed by examination of morphological structures using light microscopy and scanning electron microscope (SEM), as well as sequence analysis of the 5ʹ-end of 28S rRNA gene and the internal transcribed spacer (ITS) region of rDNA. Using the combination of morphological characterization and a phylogenetic analysis using Bayesian inference, the fungal agent was identified as Erysiphe eschscholziae. Pathogenicity tests were conducted on leaves of California poppy plants, and Koch’s postulates were fulfilled. This is the first report of E. eschscholziae causing powdery mildew on Eschscholzia californica in Mexico.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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 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".