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 inPlant physiology (Bethesda) Vol. 170; no. 3; pp. 1176 - 1188
Main Authors van Dusschoten, Dagmar, Metzner, Ralf, Kochs, Johannes, Postma, Johannes A., Pflugfelder, Daniel, Bühler, Jonas, Schurr, Ulrich, Jahnke, Siegfried
Format Journal Article
LanguageEnglish
Published United States American Society of Plant Biologists 01.03.2016
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Abstract 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.
AbstractList 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.
Magnetic resonance imaging (MRI) enables nondestructive 3D imaging and quantification of roots or root system architecture in soil and is suited for automated and routine measurements of root development. 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.
Author van Dusschoten, Dagmar
Schurr, Ulrich
Jahnke, Siegfried
Postma, Johannes A.
Bühler, Jonas
Metzner, Ralf
Kochs, Johannes
Pflugfelder, Daniel
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  surname: Postma
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  surname: Pflugfelder
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2016 American Society of Plant Biologists. All Rights Reserved.
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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).
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Snippet Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root...
Magnetic resonance imaging (MRI) enables nondestructive 3D imaging and quantification of roots or root system architecture in soil and is suited for automated...
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SubjectTerms Breakthrough Technologies
Hordeum - anatomy & histology
Hordeum - growth & development
Imaging, Three-Dimensional - methods
Imaging, Three-Dimensional - statistics & numerical data
Magnetic Resonance Imaging - methods
Magnetic Resonance Imaging - statistics & numerical data
Phenotype
Plant Roots - anatomy & histology
Plant Roots - growth & development
Software
Soil
Zea mays - anatomy & histology
Zea mays - growth & development
Title Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging
URI https://www.jstor.org/stable/24808147
https://www.ncbi.nlm.nih.gov/pubmed/26729797
https://www.proquest.com/docview/1770217611
https://pubmed.ncbi.nlm.nih.gov/PMC4775118
Volume 170
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