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      RhizoVision Explorer: open-source software for root image analysis and measurement standardization

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          Abstract

          Roots are central to the function of natural and agricultural ecosystems by driving plant acquisition of soil resources and influencing the carbon cycle. Root characteristics like length, diameter and volume are critical to measure to understand plant and soil functions. RhizoVision Explorer is an open-source software designed to enable researchers interested in roots by providing an easy-to-use interface, fast image processing and reliable measurements. The default broken roots mode is intended for roots sampled from pots and soil cores, washed and typically scanned on a flatbed scanner, and provides measurements like length, diameter and volume. The optional whole root mode for complete root systems or root crowns provides additional measurements such as angles, root depth and convex hull. Both modes support providing measurements grouped by defined diameter ranges, the inclusion of multiple regions of interest and batch analysis. RhizoVision Explorer was successfully validated against ground truth data using a new copper wire image set. In comparison, the current reference software, the commercial WinRhizo™, drastically underestimated volume when wires of different diameters were in the same image. Additionally, measurements were compared with WinRhizo™ and IJ_Rhizo using a simulated root image set, showing general agreement in software measurements, except for root volume. Finally, scanned root image sets acquired in different labs for the crop, herbaceous and tree species were used to compare results from RhizoVision Explorer with WinRhizo™. The two software showed general agreement, except that WinRhizo™ substantially underestimated root volume relative to RhizoVision Explorer. In the current context of rapidly growing interest in root science, RhizoVision Explorer intends to become a reference software, improve the overall accuracy and replicability of root trait measurements and provide a foundation for collaborative improvement and reliable access to all.

          Abstract

          RhizoVision Explorer is a new, easy-to-use software that measures root traits like length, diameter, area and volume from images. The software is free and open-source so that future improvements are possible. RhizoVision Explorer was validated using a new and freely available image set containing different sizes of measured copper wires. The software is intended to democratize access to root biology and to be the standard for validated measurements.

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            Food security: the challenge of feeding 9 billion people.

            Continuing population and consumption growth will mean that the global demand for food will increase for at least another 40 years. Growing competition for land, water, and energy, in addition to the overexploitation of fisheries, will affect our ability to produce food, as will the urgent requirement to reduce the impact of the food system on the environment. The effects of climate change are a further threat. But the world can produce more food and can ensure that it is used more efficiently and equitably. A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.
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              Going underground: root traits as drivers of ecosystem processes.

              Ecologists are increasingly adopting trait-based approaches to understand how community change influences ecosystem processes. However, most of this research has focussed on aboveground plant traits, whereas it is becoming clear that root traits are important drivers of many ecosystem processes, such as carbon (C) and nutrient cycling, and the formation and structural stability of soil. Here, we synthesise emerging evidence that illustrates how root traits impact ecosystem processes, and propose a pathway to unravel the complex roles of root traits in driving ecosystem processes and their response to global change. Finally, we identify research challenges and novel technologies to address them.
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                AoB Plants
                AoB Plants
                aobpla
                AoB Plants
                Oxford University Press (US )
                2041-2851
                December 2021
                13 September 2021
                13 September 2021
                : 13
                : 6
                : plab056
                Affiliations
                [1 ] Noble Research Institute, LLC , Ardmore, OK 73401, USA
                [2 ] Theoretical and Experimental Ecology Station, CNRS , 09200 Moulis, France
                [3 ] Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory , Oak Ridge, TN 37830, USA
                Author notes
                Corresponding author’s e-mail address: yorklm@ 123456ornl.gov
                Article
                plab056
                10.1093/aobpla/plab056
                8598384
                34804466
                7866c17c-fb1c-4912-a2c9-b07d04f8cde6
                © The Author(s) 2021. Published by Oxford University Press on behalf of the Annals of Botany Company.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 April 2021
                : 11 August 2021
                : 23 October 2021
                : 12 November 2021
                Page count
                Pages: 15
                Funding
                Funded by: Noble Research Institute, DOI 10.13039/100012050;
                Funded by: Center for Bioenergy Innovation, DOI 10.13039/100014456;
                Funded by: Office of Biological and Environmental Research, DOI 10.13039/100006206;
                Funded by: UT-Battelle, LLC, DOI 10.13039/100016818;
                Award ID: DE-AC05-00OR22725
                Categories
                Tools
                AcademicSubjects/SCI01210

                Plant science & Botany
                ground truth,phenomics,phenotyping,rhizosphere,root system architecture,traits
                Plant science & Botany
                ground truth, phenomics, phenotyping, rhizosphere, root system architecture, traits

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