Identification and Observation of Infection Processes of <i>Colletotrichum</i> Species Associated with Persimmon Anthracnose in Guangxi, China
Bibliographic record
Abstract
Persimmon originated from China where it has a long cultivation history. Anthracnose fruit rot and leaf blight caused by Colletotrichum species are major diseases of persimmon in China and cause severe economic losses. To determine the species causing anthracnose of persimmon in Guilin, Guangxi Province, diseased samples were collected from the four local counties: Gongcheng, Yangshuo, Pingle, and Lipu. Seventy-five isolates were obtained from persimmon samples with anthracnose symptoms and had similar morphological characteristics. Isolates were identified using a BLAST search and phylogenetic analysis of the internal transcribed spacer region, glyceraldehyde-3-phosphate dehydrogenase, partial actin, β-tubulin, chitin synthase genomic regions, Apn2-Mat1-2 intergenic spacer, and the partial mating type gene and calmodulin genes. Five species (C. fructicola, C. horii, C. karstii, C. cliviicola, and C. siamense) accounted for 54.7, 25.3, 12.0, 5.3, and 2.7%, respectively, of the total isolates. All five Colletotrichum species were pathogenic on attached leaves and detached fruits of persimmon (cultivar Gongcheng Yueshi) in pathogenicity assays. The infection processes of the five Colletotrichum species were observed on persimmon leaves using light microscopy. Conidia of C. fructicola germinated at 12 h post inoculation (hpi) and quickly formed acervuli at 6 days post inoculation (dpi) and were the most aggressive. By contrast, conidia of C. cliviicola germinated at 3 hpi but produced the acervuli at 8 dpi and were the least aggressive. This is the first description of C. fructicola, C. cliviicola, and C. siamense as causal agents of persimmon anthracnose in Guangxi Province, 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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".