Synchrotron-based 3D X-ray computed tomography reveals root system architecture: Plastic responses to phosphorus placement

• Synchrotron-based X-ray CT reveals in-situ root architecture within soil. • Optimized scanning procedures for analyses across different soils. • New deep learning approach improves root segmentation in X-ray CT images. • Wheat roots proliferate around phosphorus fertiliser bands. • Potential to explore plant-soil interactions with unprecedented detail. We used synchrotron-based X-ray computed tomography (SRXCT) to visualize root distribution in soil cores. X-ray CT is emerging as a leading technique to study plant roots, but SRXCT offers potential advantages compared with conventional X-ray sources, including producing X-rays of higher intensity that are collimated, monochromatic and tuneable; delivering high-resolution data whilst avoiding issues such as beam-hardening and source divergence. We demonstrate the suitability of SRXCT for observing the root system of wheat plants growing in two soils (Calcisol and Ultisol) in response to placement of different phosphorus fertilisers. To optimize scanning quality, we tested the use of an inverse ‘mask’ in front of the soil cores to achieve a more uniform attenuation along the sample, thereby avoiding saturation of the detector along the thinnest parts of the soil cores. Secondly, we developed a deep learning approach for segmentation and quantification of root length and diameter. Our results demonstrate the use of SRXCT as a tool for studying root system architecture in soil at high spatial resolution. The SRXCT method marks a new stride towards advancing our understanding of root structures in unprecedented detail, opening further avenues for exploring plant-soil interactions.

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Publication Details

Journal
Geoderma
Published
2025-04-19
DOI
https://doi.org/10.1016/j.geoderma.2025.117299
Citations
3
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
5.25

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article

Synchrotron-based 3D X-ray computed tomography reveals root system architecture: Plastic responses to phosphorus placement

Peter M. Kopittke, Nelly Sophie Raymond, Zhe Weng, M. J. Bell et al.
3 citations
Geoderma
Plant nutrient uptake and metabolism
5.25
article

Synchrotron-based 3D X-ray computed tomography reveals root system architecture: Plastic responses to phosphorus placement

Peter M. Kopittke, Nelly Sophie Raymond, Zhe Weng, M. J. Bell, Frederik van der Bom, Daniel M. Häusermann, Enzo Lombi, Anton Maksimenko, Philipp D. Lösel, Andrew Kingston, Casey Louise Doolette
article en
3 citations

Abstract

• Synchrotron-based X-ray CT reveals in-situ root architecture within soil. • Optimized scanning procedures for analyses across different soils. • New deep learning approach improves root segmentation in X-ray CT images. • Wheat roots proliferate around phosphorus fertiliser bands. • Potential to explore plant-soil interactions with unprecedented detail. We used synchrotron-based X-ray computed tomography (SRXCT) to visualize root distribution in soil cores. X-ray CT is emerging as a leading technique to study plant roots, but SRXCT offers potential advantages compared with conventional X-ray sources, including producing X-rays of higher intensity that are collimated, monochromatic and tuneable; delivering high-resolution data whilst avoiding issues such as beam-hardening and source divergence. We demonstrate the suitability of SRXCT for observing the root system of wheat plants growing in two soils (Calcisol and Ultisol) in response to placement of different phosphorus fertilisers. To optimize scanning quality, we tested the use of an inverse ‘mask’ in front of the soil cores to achieve a more uniform attenuation along the sample, thereby avoiding saturation of the detector along the thinnest parts of the soil cores. Secondly, we developed a deep learning approach for segmentation and quantification of root length and diameter. Our results demonstrate the use of SRXCT as a tool for studying root system architecture in soil at high spatial resolution. The SRXCT method marks a new stride towards advancing our understanding of root structures in unprecedented detail, opening further avenues for exploring plant-soil interactions.

GeodermaVol. 457
Australian National University (AU), University of Copenhagen (DK), Australian Nuclear Science and Technology Organisation (AU), The University of Queensland (AU), University of South Australia (AU), Australian Synchrotron (AU), Agriculture and Food (AU), Department of Primary Industries (AU)
Australian Nuclear Science and Technology Organisation, European Commission, Grains Research and Development Corporation, Australian Synchrotron, University of Queensland
Openalex Percentile: Top 6%
Plant nutrient uptake and metabolism
5.25
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