About This Theme
Digital technologies are transforming agriculture, making a farm’s field operations more insight driven and efficient. In order to advance the field of digital agriculture and create better plants, plant breeders need imaging data. Fortunately, the advent of high-throughput advanced imaging methods has yielded new opportunities to gather structural and functional data from plants. Theme 2 is focused on using these advanced or unusual forms of technology to image plants beyond normal imaging capabilities.
Some of these advanced imaging methods include:
- Positron Emission Tomography (PET) scanning which shows how a plant’s tissues are functioning;
- Phase-contrast X-ray imaging (PCI) which is more sensitive to density than conventional X-rays;
- Fluorescence imaging which uses fluorescent dyes or proteins to enable a wide range of experimental observations in cells and tissues;
- Subtraction imaging in which images are produced using variations in contrast by subtracting a ‘pre-contrast image’ or the ‘mask’ from later images; and
- Mass spectrometry (MS) of plant tissues which measures the distribution of biomolecules in tissues.
- The main benefit of using these processes to image plants is that they are non-destructive – the plant is not physically cut which means it can be studied for the duration of its life cycle.
To conduct this research, P2IRC researchers are working in collaboration with the Canadian Light Source, Advanced Laser Light Source, and Chalk River Nuclear Facilities. Much of this research is being conducted in collaboration with Theme 3, Computational Informatics of Crop Phenotyping Data which will further develop advanced methods for gathering data which can be applied to plant breeding.
The following research projects are currently underway within the Image Acquisitions Theme:
Application of Advanced Imaging Technologies to Relate Phenotype to Genotype
This research hopes to revolutionize plant breeding and develop sustainable agriculture by studying a plant’s response to environmental stress, wax production, and underground interactions with microorganisms in the soil.
Field-Based High-Throughput Phenotyping Mobile Systems for Crop Monitoring
This project is focused on developing a robotic platform that will monitor crop health and collect imaging data.
High-Throughput Data Acquisition for 3D Structural Imaging and Characterization of Plant Phenotypes
This research will develop and utilize powerful tools to view and understand plant roots and interactions taking place below ground.