Design and demonstration of a low‐field magnetic resonance imaging rhizotron for in‐field imaging of energy sorghum roots. Issue 1 (21st March 2022)

• Record Type: Journal Article
• Authors: Bagnall, G. Cody; Altobelli, Stephen A.; Conradi, Mark S.; Fabich, Hilary T.; Fukushima, Eiichi; Koonjoo, Neha; Kuethe, Dean O.; Rooney, William L.; Stupic, Karl F.; Sveinsson, Bragi; Weers, Brock; Rajan, Nithya; Rosen, Matthew S.; Morgan, Cristine L. S.
• Is Part Of: Plant phenome journal. Volume 5:Issue 1(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-21
• Subjects: Phenotype -- Periodicals; Plant genetics -- Periodicals; Periodicals; 581.35
• DOI: 10.1002/ppj2.20038
• Languages: English
• ISSNs: 2578-2703

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. Core Ideas: The goal of this work was to develop and test a novel field‐based root imaging system. This work is the first step in the development of a truly mobile in‐ground field‐based low‐field‐MRI system. Low‐field MRI worked well for root imaging in high clay soils under field conditions.