Back to Search Start Over

Design and demonstration of a low‐field magnetic resonance imaging rhizotron for in‐field imaging of energy sorghum roots

Authors :
G. Cody Bagnall
Stephen A. Altobelli
Mark S. Conradi
Hilary T. Fabich
Eiichi Fukushima
Neha Koonjoo
Dean O. Kuethe
William L. Rooney
Karl F. Stupic
Bragi Sveinsson
Brock Weers
Nithya Rajan
Matthew S. Rosen
Cristine L. S. Morgan
Source :
Plant Phenome Journal, Vol 5, Iss 1, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract Root phenotyping provides critical information to plant breeders for developing varieties with improved drought tolerance, greater root biomass, and greater nutrient use efficiency. Phenotyping roots in the natural environment is important for understanding the effect of the soil environment on root genotypic expressions. The goal of this work was to design and test a field‐scale mobile low‐field magnetic resonance imaging (LF‐MRI) Rhizotron that produces actionable root phenotyping data. We demonstrated this novel technology for root visualization and quantification using a LF‐MRI Rhizotron operating at 47 mT with two soil types. The LF‐MRI Rhizotron weights 453 kg, with a height of 90 cm, a diameter of 28 cm and an imaging field of view of 28 cm × 28 cm. The unit was operated in a Belk clay (Entic Hapluderts) and Weswood silt loam (Udifluventic Halustepts) generating 2‐D and 3‐D image data sets. The 2‐D image data had a collection time of 16.5 min per image at an image resolution of 2.2 mm per pixel. The 3‐D data had a collection time of 13 h per image with a 2.2 × 2.2 × 2.2 mm voxel resolution. Low‐field magnetic resonance imaging worked well for visualizing roots in moderate to high clay soils, demonstrating the potential for this technology; however, the broad application of this platform is hampered due to the prohibitively long scanning time to obtain 3‐D images. By increasing the field strength, and therefore the signal‐to‐noise ratio, faster scan times can enable a more useful system for root phenotyping.

Subjects

Subjects :
Plant culture
SB1-1110

Details

Language :
English
ISSN :
25782703
Volume :
5
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Plant Phenome Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.bd0d8050f93240f79efe72b1a1e281dc
Document Type :
article
Full Text :
https://doi.org/10.1002/ppj2.20038