Recovering Root System Traits Using Image Analysis Exemplified by Two-Dimensional Neutron Radiography Images of Lupine
Recovering Root System Traits Using Image Analysis Exemplified by Two-Dimensional Neutron Radiography Images of Lupine
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DOI：
10.1104/pp.113.227892
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发表时间：
2014-01-01
期刊：
影响因子：
7.4
通讯作者：
Schnepf, Andrea
中科院分区：
文献类型：
--
作者：
Leitner, Daniel;Felderer, Bernd;Schnepf, Andrea
鉴于当前的挑战，例如减少化肥投入的可持续作物生产或在资源有限的环境中，根系特征是重要的。提出了一种新的基于图像分析技术的根系构型参数恢复方法。它基于根系统的分段和骨架图像的图形表示，其中以全自动的方式跟踪单个根。使用动态根体系结构模型来确定图中的特定路径是否可能表示根，有助于区分根重叠和分支，并且有利于对图像序列上的根发育的分析。在根跟踪步骤之后，计算全局特征，如拓扑特征以及根结构参数。对生长在沙质土壤中的羽扇豆根系图像进行了分析，得到了一组根构型参数。它们被用来模拟根系的动态发育和计算相应的中游植物根长密度。根系统的图形表示提供了有关图形内部连接性的全局信息。底层的根生长模型有助于确定图中的哪条路径最有可能是给定根。这有助于系统地研究根结构特征，特别是关于动态根结构模型的参数化。
Root system traits are important in view of current challenges such as sustainable crop production with reduced fertilizer input or in resource-limited environments. We present a novel approach for recovering root architectural parameters based on image-analysis techniques. It is based on a graph representation of the segmented and skeletonized image of the root system, where individual roots are tracked in a fully automated way. Using a dynamic root architecture model for deciding whether a specific path in the graph is likely to represent a root helps to distinguish root overlaps from branches and favors the analysis of root development over a sequence of images. After the root tracking step, global traits such as topological characteristics as well as root architectural parameters are computed. Analysis of neutron radiographic root system images of lupine (Lupinus albus) grown in mesocosms filled with sandy soil results in a set of root architectural parameters. They are used to simulate the dynamic development of the root system and to compute the corresponding root length densities in the mesocosm. The graph representation of the root system provides global information about connectivity inside the graph. The underlying root growth model helps to determine which path inside the graph is most likely for a given root. This facilitates the systematic investigation of root architectural traits, in particular with respect to the parameterization of dynamic root architecture models.