Mexican isolates of<i>Leptosphaeria maculans</i>belong to the aggressive strain of the fungus<sup>1</sup>
Bibliographic record
Abstract
Black leg of crucifers, caused by Leptosphaeria maculans (Desm.) Ces. and de Not., is the most important disease of broccoli and cauliflower in central Mexico, causing up to 70% yield loss in cauliflower crops. Isolates recovered from broccoli crops at Aguascalientes and Zacatecas, central Mexico, had the morphological characteristics of the aggressive strain of the fungus. Most of the isolates were pathogenic to cauliflower and canola, but two isolates had a low aggressivity on these hosts. Electrophoretic karyotypes of the Mexican isolates were generated by contour-clamped homogeneous electric field gel electrophoresis. The karyotypes were characteristic of isolates belonging to the aggressive strain ofL. maculans, with 9–12 chromosomes distributed in three size ranges, namely 2.3–1.9, 1.6–1.2, and 0.9–0.8 (minichromosome) megabases. Overall, minimum genome size ranged from 16.1 to 23.0 megabases. We have shown that the LMR1 repetitive element, which is specific to aggressive isolates ofL. maculans, was present in all the Mexican isolates, including the two isolates with low aggressivity on cauliflower and canola, confirming that these belong to the aggressive strain of the fungus.
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 | 0.000 | 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) | 0.001 | 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".