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Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
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DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays)
Suxing Liu1,2,3, Carlos Sherard Barrow4, Meredith Hanlon5
1Department of Plant Biology, University of Georgia, Athens, Georgia 30602, USA.
Plant Physiology
|October 5, 2021
Summary
Developing deeper-rooted crops enhances drought resilience and carbon sequestration. A new 3D imaging platform, DIRT/3D, accurately measures root traits in field-grown maize, aiding breeders in climate change adaptation.
Area of Science:
- Agricultural Science
- Plant Biology
- Climate Change Adaptation
Background:
- Deeper crop roots are crucial for drought resilience, nitrogen capture, and carbon sequestration.
- High-throughput phenotyping of field-grown root systems remains a significant challenge.
- Improving root architecture can enhance crop performance and soil health.
Purpose of the Study:
- To introduce and validate Digital Imaging of Root Traits (DIRT)/3D, a novel platform for 3D root phenotyping.
- To quantify 18 root architecture traits in field-grown maize using DIRT/3D.
- To assess the heritability and discriminatory power of DIRT/3D-measured traits.
Main Methods:
- Excavation of mature maize root crowns using the Shovelomics technique.
- Application of the image-based 3D DIRT/3D platform for trait measurement.
- Validation of DIRT/3D measurements against manual assessments.
Main Results:
- DIRT/3D reliably computed 18 root architecture traits for maize.
- High coefficients of determination (r2>0.84) and heritability (Hmean2>0.6) were observed for most traits.
- The platform successfully distinguished between 12 contrasting maize genotypes based on root architecture.
Conclusions:
- DIRT/3D offers automated quantification of complex maize root crowns.
- This technology supports breeders and biologists in enhancing carbon sequestration and food security.
- DIRT/3D is a valuable tool for developing climate-resilient crops.
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