First report of <i>Exserohilum turcicum</i> causing leaf blight on sudangrass ( <i>Sorghum</i> × <i>drummondii</i> ) in Mexico
Bibliographic record
Abstract
In February 2021, elongated grey lesions with reddish margin were observed on sudangrass (Sorghum × drummondii) leaves, in the municipality of Guasave, Sinaloa, Mexico. These symptoms resembled those of leaf blight caused by Bipolaris and Exserohilum on other grasses. Two fungal isolates were recovered from symptomatic leaves, and their identities were confirmed based on a polyphasic approach. The morphological and phylogenetic analysis of the actin gene (act) and internal transcribed spacer region (ITS) of both isolates revealed their identity as Exserohilum turcicum. A pathogenicity test with a representative isolate confirmed this fungus as the causal agent of leaf blight on sudangrass, as symptoms previously observed in the field were developed on the inoculated plants. The E. turcicum isolate was recovered from the diseased sudangrass plants, fulfilling Koch’s postulates. This is the first report of E. turcicum causing leaf blight on sudangrass in Mexico.
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 | 0.000 | 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".