First report of yeast spot caused by <i>Eremothecium coryli</i> on soybean in South Korea
Bibliographic record
Abstract
An ascomycete yeast was isolated from tissue cultures of soybean explants (cv. Williams 82) exhibiting blanching and discoloration. Stink bug damage was confirmed in soybean seeds that were grown and harvested simultaneously in the same field as the soybeans used for tissue culture, and the same yeast was isolated from areas of stink bug damage, indicating seed contamination. The seed infection rate was 20%, and all infected seeds had been damaged by stink bugs. The yeast was identified as Eremothecium coryli (Peglion) Kurtzman based on morphological and biochemical characteristics and homology analysis of the internal transcribed spacer sequence of the ribosomal RNA gene and the large ribosomal subunit D1/D2 domain regions. Disease symptoms were reproduced by inoculating this yeast into healthy soybeans (cv. Williams 82). Eremothecium coryli has been reported to cause yeast spot disease in soybeans, but has not been reported in Korea. Among the fungicides recommended for plant tissue culture, we recommend imazalil for addressing E. coryli contamination. The results of this study suggest that yeast spot caused by E. coryli presents a significant risk to soybean production.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".