Fusarium root rot caused by <i>Fusarium solani</i> on sweet potato (<i>Ipomoea batatas</i>) in South Korea
Bibliographic record
Abstract
Fusarium species are important post-harvest pathogens of sweet potato worldwide. A root rot disease was observed on sweet potato (Ipomoea batatas) at storage houses in different locations in South Korea during 2016–2017. The disease was characterized by circular lesions with dark and light brown concentric rings along with cavities in the inner part of the root. Seven isolates were recovered from diseased samples. Two representative isolates were cultured on potato dextrose agar and the morphology was studied. Macroconidia were cylindrical and slightly curved with blunt and rounded apical cells. The size of the macroconidia was 28.3 (15.0–44.3) × 5.8 (4.2–8.3) μm. The microconidia were fusiform to ovoid, variable in size and aseptate or rarely with single septa. Microconidial size varied from 9.2 (5.2–16.1) × 3.6 (2.6–4.5) μm. The fungal isolates were identified as Fusarium solani (Martius) Appel & Wollenweber emend. Snyder & Hansen on the basis of the morphological and cultural characteristics. The isolates were confirmed as F. solani on the basis of molecular identification by rDNA–ITS and translation elongation factor (EF 1-α) gene sequence analysis. The pathogenicity of the organism was confirmed by fulfilling Koch’s postulates. To our knowledge, this is the first report of F. solani root rot of sweet potato in South Korea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".