Mapping soil deformation around plant roots using in vivo 4D X-ray Computed Tomography and Digital Volume Correlation
Mapping soil deformation around plant roots using in vivo 4D X-ray Computed Tomography and Digital Volume Correlation
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DOI：
10.1016/j.jbiomech.2016.04.023
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发表时间：
2016-06-14
影响因子：
2.4
通讯作者：
Roose, T.
中科院分区：
文献类型：
--
作者：
Keyes, S. D.;Gillard, F.;Roose, T.
土壤的机械阻抗抑制植物根系的生长，通常是根系发育的最重要的物理限制。近年来，非侵入性成像技术已被用于研究根系构型随时间的发展，但与土壤变形的关系通常被忽视。使用2D和3D图像数据参数化的相关映射方法最近在量化复合材料（包括纤维增强聚合物和松质骨）中的物理变形方面获得了突出地位。数字图像相关（DIC）和数字体积相关（DVC）是计算技术，其使用成像技术捕获的表面和体积的固有材料纹理来映射物理加载期间样品中的全场变形分量。体内X射线计算机断层扫描（XCT），并将数字体积相关（DVC）方法应用于数据以量化变形。在单轴压缩的条件下，该方法是有效的，并校准研究用于量化位移和应变测量的阈值。验证和校准的方法，然后证明了在体内测试的情况下，在该情况下，在现场衍生的土壤中的玉米根延伸成像每小时使用XCT超过19小时的生长期。这使得全领域的土壤变形数据和三维根尖动力学进行量化的第一次。这种融合的方法铺平了道路，对比土壤和植物基因型的比较研究，提高我们的理解的基本机械过程影响根系发育。(C)2016爱思唯尔有限公司版权所有
The mechanical impedance of soils inhibits the growth of plant roots, often being the most significant physical limitation to root system development. Non-invasive imaging techniques have recently been used to investigate the development of root system architecture over time, but the relationship with soil deformation is usually neglected. Correlative mapping approaches parameterised using 2D and 3D image data have recently gained prominence for quantifying physical deformation in composite materials including fibre-reinforced polymers and trabecular bone. Digital Image Correlation (DIC) and Digital Volume Correlation (DVC) are computational techniques which use the inherent material texture of surfaces and volumes, captured using imaging techniques, to map full-field deformation components in samples during physical loading.Here we develop an experimental assay and methodology for four-dimensional, in vivo X-ray Computed Tomography (XCT) and apply a Digital Volume Correlation (DVC) approach to the data to quantify deformation. The method is validated for a field-derived soil under conditions of uniaxial compression, and a calibration study is used to quantify thresholds of displacement and strain measurement. The validated and calibrated approach is then demonstrated for an in vivo test case in which an extending maize root in field-derived soil was imaged hourly using XCT over a growth period of 19 h. This allowed full-field soil deformation data and 3D root tip dynamics to be quantified in parallel for the first time.This fusion of methods paves the way for comparative studies of contrasting soils and plant genotypes, improving our understanding of the fundamental mechanical processes which influence root system development. (C) 2016 Elsevier Ltd. All rights reserved.