4.7 Article

Quantification of root water uptake in soil using X-ray computed tomography and image-based modelling

Journal

PLANT CELL AND ENVIRONMENT
Volume 41, Issue 1, Pages 121-133

Publisher

WILEY
DOI: 10.1111/pce.12983

Keywords

image-based homogenization; matric potential; rhizosphere; soil pores; water release characteristic; wheat

Categories

Funding

  1. BBSRC [BB/J000868/1]
  2. University of Southampton, PI
  3. University of Nottingham, PI
  4. ERC consolidation grant [646809DIMR]
  5. ERC Futureroots grant
  6. BBSRC [BB/J000868/1]
  7. University of Southampton, PI
  8. University of Nottingham, PI
  9. ERC consolidation grant [646809DIMR]
  10. ERC Futureroots grant
  11. Biotechnology and Biological Sciences Research Council [BB/J000868/1] Funding Source: researchfish
  12. BBSRC [BB/J000868/1] Funding Source: UKRI

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Spatially averaged models of root-soil interactions are often used to calculate plant water uptake. Using a combination of X-ray computed tomography (CT) and image-based modelling, we tested the accuracy of this spatial averaging by directly calculating plant water uptake for young wheat plants in two soil types. The root system was imaged using X-ray CT at 2, 4, 6, 8 and 12d after transplanting. The roots were segmented using semi-automated root tracking for speed and reproducibility. The segmented geometries were converted to a mesh suitable for the numerical solution of Richards' equation. Richards' equation was parameterized using existing pore scale studies of soil hydraulic properties in the rhizosphere of wheat plants. Image-based modelling allows the spatial distribution of water around the root to be visualized and the fluxes into the root to be calculated. By comparing the results obtained through image-based modelling to spatially averaged models, the impact of root architecture and geometry in water uptake was quantified. We observed that the spatially averaged models performed well in comparison to the image-based models with <2% difference in uptake. However, the spatial averaging loses important information regarding the spatial distribution of water near the root system. Root geometry is often stated as an important factor in plant water uptake. In order to quantify the importance of geometrical details, we combined X-ray computed tomography with image-based modelling to calculate plant water uptake. This method not only allows water uptake to be calculated but provides a wealth of information regarding the distribution of water around the root. Through comparison with spatially averaged models, we found that the precise details of the root geometry were of little importance in calculating water uptake.

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