Identification of Cercospora leaf spot resistance among fenugreek accessions and characterization of the pathogen
Bibliographic record
Abstract
Cercospora leaf spot is a destructive and widespread disease of fenugreek (Trigonella foenum-graecum L.). To identify resistant germplasms and to morphologically characterize the disease pathogen on fenugreek plants, 48 accessions adapted to western Canada were screened by artificially inoculating plants with 1x104 spores ml-1 conidial suspensions of C. traversiana in growth cabinets. Out of these, nine accessions were characterized as resistant (R) or moderately resistant (MR) and the rest were susceptible. A more detailed study with 20 selected (9 resistant and 11 other) accessions using the artificial inoculation method revealed that the accessions were significantly (p = 0.01) different in their reaction to the disease. In the later test only two (L3717 and PI138687) had R and two (L3698 and F86) had MR ratings. An ANOVA for the agronomic traits measured indicated that the interaction effect of accession and treatment (with or without inoculation) was significant and the R or MR rated accessions were less affected by inoculation than the rest. The western Canada adapted accessions recovered from the fungal inoculation and produced a reasonable seed and biomass yield. Although further studies are warranted to verify the findings, the disease symptoms described, the disease effect on agronomic traits observed, and morphology of the pathogen may serve as a reference for future studies involving plant reaction to C. traversiana.
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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 | 0.000 |
| 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".