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生长在土壤中的农作物根系的X射线计算机断层扫描

X-Ray Computed Tomography of Crop Plant Root Systems Grown in Soil.

作者信息

Mairhofer Stefan, Pridmore Tony, Johnson James, Wells Darren M, Bennett Malcolm J, Mooney Sacha J, Sturrock Craig J

机构信息

School of Computer Science, University of Nottingham, Nottingham, United Kingdom.

Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Loughborough, United Kingdom.

出版信息

Curr Protoc Plant Biol. 2017 Dec;2(4):270-286. doi: 10.1002/cppb.20049.

Abstract

Non-destructive methods to quantify the root system architecture of a plant grown in soil are essential to aid our understanding of the factors that impact plant root development in natural environments. With environmental change threatening our ability to sustain agricultural productivity for an expanding global population, the application of these methods has never before seen such an increase in demand. X-ray computed tomography (CT) based phenotyping techniques permit the spatio-temporal quantification of roots, helping to identify novel adaptive root architectural responses to abiotic and biotic factors. This protocol reports an integrated workflow from column preparation and plant growth to image and quantification of the root system using novel open source software applications, RooTrak and RooTh. © 2017 by John Wiley & Sons, Inc.

摘要

量化土壤中生长植物根系结构的非破坏性方法对于帮助我们理解影响自然环境中植物根系发育的因素至关重要。随着环境变化威胁到我们为不断增长的全球人口维持农业生产力的能力,这些方法的应用需求从未像现在这样大幅增加。基于X射线计算机断层扫描(CT)的表型分析技术能够对根系进行时空量化,有助于识别根系对非生物和生物因素的新型适应性结构响应。本方案报告了一个综合工作流程,从柱体准备、植物生长到使用新型开源软件应用程序RooTrak和RooTh对根系进行成像和量化。© 2017约翰威立国际出版公司

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