Pathotype Characterization of <i>Fusarium oxysporum</i> f. sp. <i>lentis</i> (<i>Fol</i>) Isolates in North America
Bibliographic record
Abstract
Fusarium wilt caused by Fusarium oxysporum f. sp. lentis ( Fol) is a devastating disease of lentils impacting yield in the Northern Great Plains. Characterizing the different pathotypes of Fol and their distribution is an essential part of breeding for resistant cultivars. To date, there has been no characterization of Fol pathotypes in North America. Using a lentil differential set from the International Center for Agriculture Research in Dry Areas, 51 pathogenic isolates of Fol from Canada, Montana, Washington, and North Dakota were characterized based on virulence assessed on foliar wilt symptoms using a disease index. Nine pathotypes were identified; pathotype 7 was highly virulent on all the differential sets and the most predominant at 55%. Pathotypes 1 and 6 were the second most predominant at 10 and 11%, respectively. This study identified for the first time Fol pathotypes present in North America. These findings will help in future efforts for Fusarium wilt management in lentils.
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 | 0.001 |
| 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".