Identification and fungicides sensitivity evaluation of the causal agent of cobweb disease on Lyophyllum decastes in China
Bibliographic record
Abstract
Abstract Background: Cobweb disease is a fungal disease that often occurs in the cultivation and production of edible fungi, which can harm a variety of cultivated edible fungi and cause serious losses. Cobweb disease is considered to be one of the four most serious fungal diseases in edible fungi. Symptoms suspected of cobweb disease were found during the cultivation of Lyophyllum decastes mushrooms. The objective of our study was to identify the cobweb pathogen and screen out the effective fungicides, so as to provide a reference for the comprehensive prevention and control of velvet mushroom cobweb disease. Results: The causal agent for this cobweb disease was isolated from symptomatic samples and was found to be Cladobotryum mycophilum based on morphological characteristics, phylogeny (ITS, RPB1, RPB2 and TEF1-α) and the cultural characteristics of two isolates on PDA and MEA medium. Results of pathogenicity tests also supported the conclusion that C. mycophilum is the pathogen responsible for this condition. The antibacterial effect of Prochloraz-manganese chloride complex, Trifloxystrobin and tebuconazole, and Difenoconazole among the tested fungicides is remarkable, with EC50 being 0.076 μg/mL, 0.173 μg/mL and 0.364 μg/mL respectively. These fungicides have good control effect, low toxicity, and have good application potential on L. decastes. Conclusion: First report of cladobotryum mycophilum causing cobweb disease of Lyophyllum decastes in China.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".