Intrinsic and extrinsic factors affecting the infection rate of Erysiphe alphitoides (Griffon & Maubl.) U. Braun & S. Takam. on Quercus robur L. seedlings
Bibliographic record
Abstract
Oak powdery mildew, caused by Erysiphe alphitoides , is a widespread disease that affects oaks. We aimed to understand the complex interactions between extrinsic (environmental) and intrinsic (provenance) factors that influence the infection rate of E. alphitoides on Quercus robur seedlings. In a common garden controlled water experiment, we investigated the natural infection rate of E. alphitoides considering factors such as oak provenance, soil moisture availability, and the seedlings’ location in the microenvironment. We examined infection rates on first- and second-flush leaves, assessed oak gas exchange responses (net photosynthesis, transpiration, and stomatal conductance) to powdery mildew infections, and evaluated stomatal size and density as a potential pathway for pathogen entry. Our results showed that different factors influence first and second-flush leaf infection rates. First flush infections were milder, primarily depending on provenance (an intrinsic factor), with early leaf development correlating with lower infection rates. Second flush leaf infections in summer were more severe, driven by extrinsic factors such as the microenvironment and water availability, with spore dispersal influenced by prevailing wind direction. We observed a significant effect of E. alphitoides on photosynthesis, along with reduction in infection rates under drought. This suggests that stomatal closure—reflected in reduced stomatal conductance—under drought stress may prevent pathogen penetration. Moreover, our results suggest that stomatal closure itself, rather than the size of the stomatal pore, may play a more critical role in limiting pathogen entry. Further assessment of biochemical defenses in drought-stressed seedlings could help clarify if additional mechanisms are involved.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".