What can we learn from in-soil imaging of a live plant: X-ray Computed Tomography and 3D numerical simulation of root-soil system
Abstract
Plant roots play a critical role in plant-soil-microbe interactions that occur in the rhizosphere. X-ray Computed Tomography (XCT) has been proven to be an effective tool for non-invasive root imaging and analysis. A combination of XCT, open-source software, and in-house developed code was used to non-invasively image a prairie dropseed (Sporobolus heterolepis) specimen, segment the root data to obtain a 3D image of the root structure, and extract quantitative information from the 3D data, respectively. Based on the explicitly-resolved root structure, pore-scale computational fluid dynamics (CFD) simulations were applied to numerically investigate the root-soil-groundwater system. The plant root conductivity, soil hydraulic conductivity and transpiration rate were shown to control the groundwater distribution. Furthermore, the coupled imaging-modeling approach demonstrates a realistic platform to investigate rhizosphere flow processes and would be feasible to provide useful information linked to upscaled models.
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Environmental Molecular Sciences Lab., Richland, WA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Southern Univ. of Science and Technology, Guangzhou (China)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1364399
- Alternate Identifier(s):
- OSTI ID: 1550519
- Report Number(s):
- PNNL-SA-124115
Journal ID: ISSN 2452-2198; PII: S2452219817300393
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Rhizosphere
- Additional Journal Information:
- Journal Volume: 3; Journal Issue: P2; Journal ID: ISSN 2452-2198
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; root model; X-ray Computed Tomography; pore-scale modeling; root water uptake; rhizosphere
Citation Formats
Yang, Xiaofan, Varga, Tamas, Liu, Chongxuan, and Scheibe, Timothy D. What can we learn from in-soil imaging of a live plant: X-ray Computed Tomography and 3D numerical simulation of root-soil system. United States: N. p., 2017.
Web. doi:10.1016/J.RHISPH.2017.04.017.
Yang, Xiaofan, Varga, Tamas, Liu, Chongxuan, & Scheibe, Timothy D. What can we learn from in-soil imaging of a live plant: X-ray Computed Tomography and 3D numerical simulation of root-soil system. United States. https://doi.org/10.1016/J.RHISPH.2017.04.017
Yang, Xiaofan, Varga, Tamas, Liu, Chongxuan, and Scheibe, Timothy D. 2017.
"What can we learn from in-soil imaging of a live plant: X-ray Computed Tomography and 3D numerical simulation of root-soil system". United States. https://doi.org/10.1016/J.RHISPH.2017.04.017. https://www.osti.gov/servlets/purl/1364399.
@article{osti_1364399,
title = {What can we learn from in-soil imaging of a live plant: X-ray Computed Tomography and 3D numerical simulation of root-soil system},
author = {Yang, Xiaofan and Varga, Tamas and Liu, Chongxuan and Scheibe, Timothy D.},
abstractNote = {Plant roots play a critical role in plant-soil-microbe interactions that occur in the rhizosphere. X-ray Computed Tomography (XCT) has been proven to be an effective tool for non-invasive root imaging and analysis. A combination of XCT, open-source software, and in-house developed code was used to non-invasively image a prairie dropseed (Sporobolus heterolepis) specimen, segment the root data to obtain a 3D image of the root structure, and extract quantitative information from the 3D data, respectively. Based on the explicitly-resolved root structure, pore-scale computational fluid dynamics (CFD) simulations were applied to numerically investigate the root-soil-groundwater system. The plant root conductivity, soil hydraulic conductivity and transpiration rate were shown to control the groundwater distribution. Furthermore, the coupled imaging-modeling approach demonstrates a realistic platform to investigate rhizosphere flow processes and would be feasible to provide useful information linked to upscaled models.},
doi = {10.1016/J.RHISPH.2017.04.017},
url = {https://www.osti.gov/biblio/1364399},
journal = {Rhizosphere},
issn = {2452-2198},
number = P2,
volume = 3,
place = {United States},
year = {Thu May 04 00:00:00 EDT 2017},
month = {Thu May 04 00:00:00 EDT 2017}
}
Web of Science