Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Sunflower in a $20 billion oil crop and one of the world's main sources of vegetable oil. However, sunflowerx000D
can be a high-risk crop because of potential losses from diseases. A major component of disease managementx000D
programs is early pathogen detection and immediate implementation of control strategies to minimizex000D
economic loss. Monitoring and management is very labor intensive and by the time the symptoms becomex000D
visible, the infection has become well-established, diminishing the efficacy of fungicides. In contrast,x000D
automated sensor-based diagnostics provides a powerful alternative to conventional visual screening. In thisx000D
project, we will examine the practical utility of high-resolution sensory systems developed by Ecoation forx000D
resistance screening of some of the most important diseases in sunflower: rust, Phomopsis stem canker (PSC)x000D
and Sclerotinia head rot (SHR). We will also compare efficiency of this technology to some of the availablex000D
alternatives, as well as to most widely used method - visual screening. This knowledge will enable thex000D
development of more accurate and efficient strategies for detecting and quantifying disease severity that couldx000D
be used for precision agriculture.