Flétrissement et pourriture racinaire de la lentille dans le nord-ouest algérien
Bibliographic record
Abstract
Les legumineuses alimentaires representent une part importante de l’alimentation humaine et animale. Ces cultures sont riches en proteines et fournissent au sol une quantite non negligeable d’azote fixe utile pour les cereales, en reduisant d’autant les couts de production et en limitant la pollution des nappes phreatiques par les nitrates des engrais [1]. En Algerie, la superficie cultivee en lentille (Lens culinaris Med.) est passee de 26 000 ha en 1969 a 1 500 ha en 1997, avec des rendements fluctuants qui demeurent tres faibles [2]. Les champignons telluriques constituent un des principaux facteurs limitant le developpement de la lentille, causant des maladies de fletrissement ou de pourriture racinaire notamment en Egypte [3], en Syrie [4], au Canada [5], en Tchecoslovaquie [6] et Nouvelle-Zelande [7]. Les agents responsables de ces maladies, en particulier de la pourriture racinaire, appartiennent aux genres Rhizoctonia, Fusarium, Thielaviopsis, Macrophomina, Ozonium, Pythium, Aphanomyces et Sclerotinia [8]. Quant au fletrissement vasculaire, il est provoque par F. oxysporum [4]. L’objectif de notre etude est d’evaluer l’importance de ces maladies et d’identifier les especes fongiques responsables, ainsi que la frequence de leur repartition dans le nord-ouest algerien. Le pouvoir pathogene des isolats de F. oxysporum isoles de lentille a ete teste par ailleurs.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".