MiCODetect Project – Guidelines for an Optical Sensor for Presymptomatic Detection of Zymoseptoria tritici in Wheat
This study proposes guidelines for an optical sensor that detects Zymoseptoria tritici in wheat before symptoms appear, using UV-induced fluorescence of tryptophan-derived metabolites to inform integrated fungicide management.
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Description détaillée
The MiCODetect project defines specifications for an optical sensor capable of presymptomatic detection of Septoria tritici blotch in wheat. Metabolomic and transcriptomic analyses of the wheat–pathogen interaction identified three tryptophan pathway metabolites as biomarkers emitting UV-UV fluorescence during infection. Field trials showed that changes in wheat leaf fluorescence correlate with later symptom development, suggesting real-time pathogen quantification. This approach aims to refine fungicide timing by reducing reliance on climate-based models. Further experiments will determine the most predictive emission wavelengths and evaluate the specificity and robustness of the fluorescent signal under diverse field conditions.
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Information détaillée sur la contribution
- Projet
- Localisation
- France
- Auteurs
- Sébastien CODIS, Adrien VERGÈS, Benoît RUELLE, Olivier HÉBRARD, Jessica MAGNIER, Patrick MONTEGANO et Xavier RIBEYROLLES,
- Objectif
- Adopt innovative practices
- Type de fichier
- document
- Publié sur
- 01 oct. 2015
- Langue originale
- French
- Site officiel du projet
- Innovations agronomiques
- License
- CC BY