3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research
3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research
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DOI：
10.1111/j.1365-313x.2009.04009.x
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发表时间：
2009-12-01
期刊：
影响因子：
7.2
通讯作者：
Liao, Hong
中科院分区：
文献类型：
--
作者：
Fang, Suqin;Yan, Xiaolong;Liao, Hong
根结构在植物水分和养分获取中起着重要作用。然而，由于缺乏适当的工具来对根系结构进行原位非破坏性和精确测量，因此对根系进行精确建模（提供土壤中根系的真实表示）受到限制。在这里，我们描述了一种根生长系统，其中根在固体凝胶基质中生长，该系统用于原位重建 3D 根结构，并高精度地动态模拟其在各种营养条件下的变化。 3D 激光扫描仪与透明凝胶生长系统相结合，用于捕获根部的 3D 图像。采用基于霍夫变换的骨架提取方法提取根系骨架，并采用Ball-B样条进行网格建模。我们成功地利用该系统重建了水稻和大豆的根系结构，并确定了它们在各种磷（P）供应条件下的变化。我们的结果表明，根据模拟系统和之前的报告，基于根系骨架化和模拟动态计算的3D根结构参数与水稻和大豆的生物量和磷含量显着相关。因此，该方法为研究作物根系生长及其对各种环境条件的适应性变化提供了一种新技术。
Root architecture plays important roles in plant water and nutrient acquisition. However, accurate modeling of the root system that provides a realistic representation of roots in the soil is limited by a lack of appropriate tools for the non-destructive and precise measurement of the root system architecture in situ. Here we describe a root growth system in which the roots grow in a solid gel matrix that was used to reconstruct 3D root architecture in situ and dynamically simulate its changes under various nutrient conditions with a high degree of precision. A 3D laser scanner combined with a transparent gel-based growth system was used to capture 3D images of roots. The root system skeleton was extracted using a skeleton extraction method based on the Hough transformation, and mesh modeling using Ball-B spline was employed. We successfully used this system to reconstruct rice and soybean root architectures and determine their changes under various phosphorus (P) supply conditions. Our results showed that the 3D root architecture parameters that were dynamically calculated based on the skeletonization and simulation of root systems were significantly correlated with the biomass and P content of rice and soybean based on both the simulation system and previous reports. Therefore, this approach provides a novel technique for the study of crop root growth and its adaptive changes to various environmental conditions.