Carie ABBLE - Carie commune : étude de la variabilité des populations en France et développement d’un test de résistance variétale pour l’inscription des variétés de blé tendre en Agriculture Biologique.
Bibliographic record
Abstract
Common bunt is a re-emerging seed-borne disease affecting particularly organic cereal farming. Tilletia caries was identified as the predominant species in 26 isolates collected from 15 French departments with 100% occurrence, compared with T. foetida, at 15.4%. Twenty strains of T. caries were selected to identify their virulences, from their behaviour on differential host range, revealing a predominant virulence on Bt-7 resistance gene, with a frequency of 48%, followed by Bt-2 (24%) and Bt-15 (19%). An early varietal resistance test by qPCR at the 2-3 leaf stage, quantifying Tilletia sp. DNA, was developed. This early test (7-8 weeks) was found to be well correlated with the adult field test (8 months), based on visual notation of the bunted ear rate (RPearson= 0.89). A resistance test using the predominant virulences will be taken into account for the registration in the French Catalogue of soft wheat varieties for organic farming. It will allow the selection of resistant varieties which can replace chemical seed treatments or be combined with alternative treatments.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".