Phylogenetic, phenotypic and host range characterization of five <i>Fusarium</i> species isolated from chickpea in Alberta, Canada
Bibliographic record
Abstract
Chickpea (Cicer arietinum L.) is an important food legume worldwide, providing a source of high-quality protein. Fifteen chickpea samples showing leaf yellowing and root rot were obtained from southern Alberta, Canada, in 2018. Twenty single-spore Fusarium isolates were obtained from those samples. Based on the morphological characteristics, five species of Fusarium were identified, with F. redolens as the predominant species (11 isolates), followed by F. culmorum (3), F. sporotrichioides (3), F. oxysporum (2) and F. equiseti (1). The identification of each isolate was confirmed using partial sequences of the translation elongation factor 1-alpha (EF-1α) gene. Each EF-1α sequence displayed 99.54% to 100% similarity to sequences for each corresponding species in the GenBank database. The Fusarium isolates were tested for pathogenicity on chickpea ‘CDC Frontier’ in a greenhouse. Isolates recovered from inoculated plants were confirmed as the respective Fusarium species, fulfiling Koch’s postulates. Selected isolates of each Fusarium species were able to infect common crops including barley, corn, canola, and lentil in Alberta. This is the first report of F. redolens on chickpea in Alberta, F. equiseti on chickpea in Canada, and F. culmorum and F. sporotrichioides on chickpea in the world.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".