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High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen
Bikram P Banerjee1, Sameer Joshi1, Emily Thoday-Kennedy1
1Agriculture Victoria, Grains Innovation Park, Horsham, VIC, Australia.
Journal of Experimental Botany
|March 19, 2020
Summary
Developing crops with better nitrogen use efficiency is key for sustainability. High-throughput imaging helps rapidly screen wheat for nitrogen response, identifying ideal varieties faster.
Area of Science:
- Agricultural Science
- Plant Biology
- Remote Sensing
Background:
- Sustainable crop production requires varieties with enhanced nitrogen use efficiency (NUE).
- High-throughput phenotyping, integrating genotyping and imaging, can accelerate the discovery of novel alleles for improved NUE.
- Digital and hyperspectral imaging offer efficient methods for assessing plant performance by analyzing canopy reflectance.
Purpose of the Study:
- To apply digital and hyperspectral imaging for automated phenotyping of wheat's nitrogen response.
- To develop and validate novel imaging techniques and algorithms for estimating key plant biomarkers.
- To demonstrate the utility of integrated phenomics for rapid screening of wheat populations.
Main Methods:
- Utilized digital and hyperspectral imaging to quantify canopy reflectance, biomass, and chlorophyll levels under varying nitrogen conditions.
- Developed computational approaches for spectrum calibration, plant area detection, and vegetation index analysis.
- Created a novel vegetation index for precise chlorophyll estimation, coupled with an image-processing algorithm to remove background noise.
Main Results:
- Automated phenotyping of wheat at the vegetative stage successfully estimated biomass and chlorophyll levels.
- A new vegetation index demonstrated high precision in chlorophyll estimation, aided by effective background spectral removal.
- The imaging techniques enabled efficient delineation of nitrogen response in wheat populations.
Conclusions:
- Integration of high-throughput digital and spectral phenomics provides a valuable tool for rapid screening of wheat for nitrogen response.
- Automated phenotyping using advanced imaging can significantly expedite breeding programs for enhanced nitrogen use efficiency.
- These techniques offer a non-destructive and efficient method for assessing plant physiological status relevant to nitrogen management.
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