Imaging for improving Fusarium damaged kernel and deoxynivalenol resistance in Canadian wheat.
Crop Types
- Wheat
Collaborating Locations
AAFC Swift CurrentIn this project, the study team will focus on dissecting FDK through the use of innovative digital imagining in order to develop a classification based on the degree of FHB infection in the kernel to refine the genomic regions associated with the resistance. They will also develop a statistical model to predict DON concentration associated to the different FDK classes and validate the associated resistance loci. FDK and DON are top priority traits for the wheat breeding and pathology programs because they are associated with end-use quality and food safety, which is one of the biggest concerns of Canadian wheat growers and national and international food industry.
Objectives
- Increase the resolution for Fusarium damaged kernel (FDK) assessment with imaging
- Correlate deoxynivalenol (DON) content with the different classes of FDK and develop a statistical model to predict DON concentration.
- To validate Quantitative trait loci QTL associated with FDK and DON resistance in hexaploid and durum doubled haploid (DH) genetic populations