Current status and future prospects of grapevine anthracnose caused by <i>Elsinoe ampelina</i>: An important disease in humid grape‐growing regions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Anthracnose, caused by Elsinoe ampelina, is one of the most destructive diseases of grapevines worldwide, especially in humid areas. E. ampelina mainly infects young tissues starting from shoots to berries and affects vine vigour and berry yield. The occurrence and the role of the sexual stage in the disease cycle and the grapevine-E. ampelina interaction remain poorly understood. However, the recent genome sequence data of E. ampelina provides the basis for further studies to understand its evolution, pathogenicity mechanisms, and effector repertoire. New studies on E. ampelina have been conducted in recent years. In this pathogen profile, we present a comprehensive literature review of E. ampelina to summarize the findings on its aetiology, infection mechanisms, genome, pathogenicity, and host resistance. TAXONOMY: Elsinoe ampelina Shear; Kingdom Fungi; Phylum Ascomycota; Subphylum Pezizomycotina; Class Dothideomycetes; Subclass Dothideomycetidae; Order Myriangiales Starbäck; Family Elsinoaceae Höhnel; Genus Elsinoe Racib. HOST RANGE: E. ampelina only infects Vitis species and hybrids. DISTRIBUTION: The grapevine anthracnose is distributed worldwide but is most prevalent in Argentina, Australia, Brazil, Canada, China, India, Japan, Korea, New Zealand, South Africa, Thailand, USA, and Uruguay. DISEASE SYMPTOMS: E. ampelina causes slightly abundant depressed spots on young leaves, petioles, stems, tendrils, rachises, and berries. Under severe infection conditions, early defoliation, berry dropping, and delayed berry development and ripening may occur. GENOME: The genomes of two E. ampelina isolates, YL-1 and CECT 20119, are publicly released with 8,057 and 10,207 predicted genes, respectively.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 it