Literature DB >> 22271595

Non-destructive quantification of cereal roots in soil using high-resolution X-ray tomography.

Richard J Flavel1, Christopher N Guppy, Matthew Tighe, Michelle Watt, Ann McNeill, Iain M Young.   

Abstract

One key constraint to further understanding plant root development is the inability to observe root growth in situ due to the opaque nature of soil. Of the present non-destructive techniques, computed tomography (CT) is best able to capture the complexities of the edaphic environment. This study compared the accuracy and impact of X-ray CT measurement of in situ root systems with standard technology (soil core washing and WinRhizo analysis) in the context of treatments that differed in the vertical placement of phosphorus fertilizers within the soil profile. Although root lengths quantified using WinRhizo were 8% higher than that observed in the same plants using CT, measurements of root length by the two methodologies were highly correlated. Comparison of scanned and unscanned plants revealed no effect of repeated scanning on plant growth and CT was not able to detect any changes in roots between phosphorus treatments that was observed using WinRhizo. Overall, the CT technique was found to be fast, safe, and able to detect roots at high spatial resolutions. The potential drawbacks of CT relate to the software to digitally segment roots from soil and air, which will improve significantly as automated segmentation algorithms are developed. The combination of very fast scans and automated segmentation will allow CT methodology to realize its potential as a high-throughput technique for the quantification of roots in soils.

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Year:  2012        PMID: 22271595     DOI: 10.1093/jxb/err421

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  29 in total

1.  Matching roots to their environment.

Authors:  Philip J White; Timothy S George; Peter J Gregory; A Glyn Bengough; Paul D Hallett; Blair M McKenzie
Journal:  Ann Bot       Date:  2013-07       Impact factor: 4.357

2.  A multi-imaging approach to study the root-soil interface.

Authors:  Nicole Rudolph-Mohr; Peter Vontobel; Sascha E Oswald
Journal:  Ann Bot       Date:  2014-10-25       Impact factor: 4.357

Review 3.  Root-root interactions: extending our perspective to be more inclusive of the range of theories in ecology and agriculture using in-vivo analyses.

Authors:  Marc Faget; Kerstin A Nagel; Achim Walter; Juan M Herrera; Siegfried Jahnke; Ulrich Schurr; Vicky M Temperton
Journal:  Ann Bot       Date:  2013-02-01       Impact factor: 4.357

4.  An integrated method for quantifying root architecture of field-grown maize.

Authors:  Jie Wu; Yan Guo
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

5.  Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures.

Authors:  Ni Jiang; Eric Floro; Adam L Bray; Benjamin Laws; Keith E Duncan; Christopher N Topp
Journal:  Plant Cell       Date:  2019-05-23       Impact factor: 11.277

6.  Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging.

Authors:  Dagmar van Dusschoten; Ralf Metzner; Johannes Kochs; Johannes A Postma; Daniel Pflugfelder; Jonas Bühler; Ulrich Schurr; Siegfried Jahnke
Journal:  Plant Physiol       Date:  2016-01-04       Impact factor: 8.340

7.  Computed tomography scanning can monitor the effects of soil medium on root system development: an example of salt stress in corn.

Authors:  Sowmyalakshmi Subramanian; Liwen Han; Pierre Dutilleul; Donald L Smith
Journal:  Front Plant Sci       Date:  2015-04-28       Impact factor: 5.753

Review 8.  Review: Application of Artificial Intelligence in Phenomics.

Authors:  Shona Nabwire; Hyun-Kwon Suh; Moon S Kim; Insuck Baek; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

9.  Effects of X-Ray Dose On Rhizosphere Studies Using X-Ray Computed Tomography.

Authors:  Susan Zappala; Jonathan R Helliwell; Saoirse R Tracy; Stefan Mairhofer; Craig J Sturrock; Tony Pridmore; Malcolm Bennett; Sacha J Mooney
Journal:  PLoS One       Date:  2013-06-26       Impact factor: 3.240

10.  Rapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography.

Authors:  Johannes Pfeifer; Norbert Kirchgessner; Tino Colombi; Achim Walter
Journal:  Plant Methods       Date:  2015-08-28       Impact factor: 4.993

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