Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging
Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotr...
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Published in | Plant physiology (Bethesda) Vol. 170; no. 3; pp. 1176 - 1188 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Society of Plant Biologists
01.03.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotrons), or are destructive (e.g. soil coring). On the other hand, modalities such as magnetic resonance imaging (MRI) are noninvasive and allow high-quality three-dimensional imaging of roots in soil. Here, we present a plant root imaging and analysis pipeline using MRI together with an advanced image visualization and analysis software toolbox named NMRooting. Pots up to 117 mm in diameter and 800 mm in height can be measured with the 4.7 T MRI instrument used here. For 1.5 L pots (81 mm diameter, 300 mm high), a fully automated system was developed enabling measurement of up to 18 pots per day. The most important root traits that can be nondestructively monitored over time are root mass, length, diameter, tip number, and growth angles (in two-dimensional polar coordinates) and spatial distribution. Various validation measurements for these traits were performed, showing that roots down to a diameter range between 200 μm and 300 μm can be quantitatively measured. Root fresh weight correlates linearly with root mass determined by MRI. We demonstrate the capabilities of MRI and the dedicated imaging pipeline in experimental series performed on soil-grown maize (Zea mays) and barley (Hordeum vulgare) plants. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This work was supported in part by the Bundesministerium für Bildung und Forschung (BMBF) under grant no. 0315529/CROP.SENSe.net and in part within the German-Plant-Phenotyping Network under project identification no. 031A053, also funded by BMBF. J.K. and D.v.D. set up the MRI hardware and automated sample handling; D.P., D.v.D., J.A.P., and J.B. developed the data analysis toolbox; D.v.D., R.M., D.P., S.J., and U.S. designed the experiments, which were performed by D.v.D., R.M., and D.P.; and D.v.D., R.M., and S.J. performed the data analysis. All authors contributed to the preparation of the manuscript. The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Dagmar van Dusschoten (d.van.dusschoten@fz-juelich.de). www.plantphysiol.org/cgi/doi/10.1104/pp.15.01388 |
ISSN: | 0032-0889 1532-2548 |
DOI: | 10.1104/pp.15.01388 |