This project focuses on developing innovative nondestructive methodologies to assess the grain kernel images and changes in the nutrient components in cultivars with varying level of Fusarium Head Blight (FHB) resistance, using synchrotron based XRF microscopy and spectrometry. This project builds on the previous findings by the research team on the application of Synchrotron Light for crop improvement and rapid screening tools for FHB.
Read MoreThe main problems with current tools for visualizing crop genetics and supporting marker-assisted selection are the: lack of availability and usability for real-world breeding programs, lack of explicit support for polyploidy crops including wheat (whole-genome duplication), and lack of scalability to the size of datasets that are now available. Thus, this project will focus on developing new visual-analytics tools for Saskatchewan crop breeders using genomic data from four important Saskatchewan crop including wheat, that will improve marker-based selection and genomic exploration to a greater extend.
Read MoreIn the current project SKSIS-3, the main focus is to examine the potential for producer-partnered predictive soil mapping (PPPSM) that might provide higher-resolution soil information through the Predictive Soil Mapping (PSM) feature. The objectives are: to explore data sharing models with data partners that leverage the power of information for PSM and soil resource management; to develop a business plan to provide self-generating base operating funds for maintenance and updates of SKSIS and PSM modules; and to develop a standalone SKSIS feature for efficient remote use in internet deficient areas of Saskatchewan.
Read MoreThe project is designed to assess whether current loss monitor sensing systems in combines can accurately provide an absolute loss level with reasonable accuracy.
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