›› 2011, Vol. 23 ›› Issue (4): 0-856.

• 综述 •    

作物根系原位观测识别新方法综述

李克新,宋文龙*,朱良宽   

  1. (东北林业大学 机电工程学院,黑龙江 哈尔滨 150040
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-07-25 发布日期:2011-07-25

Review on new methods of observation and recognition in situ for crop roots

LI Ke-xin;SONG Wen-long*;ZHU Liang-kuan   

  1. College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-07-25 Published:2011-07-25

摘要: 根系是植物从土壤中获取养分和水分并支撑植物体的重要器官,由于根系的复杂形态及土壤的不透明属性使得对其观测困难,缺乏有效的原位根系观测方法已成为深入研究植物根系的技术瓶颈。文章从根系观测技术和根系识别算法两方面分别进行了综述。在观测技术方面,主要对微根管观测法(二维根系观测法)和计算机层析成像法(根系三维构型观测方法)及其优缺点进行了综述。在根系识别算法方面,对根系二位形态识别算法和三维构型识别算法进行了分析,指出了算法的优点和局限。最后,在对两类观测识别技术深入分析的基础上梳理出自然土壤介质下根系三维构型原位观测识别技术(计算机层析成像法)是根系定量化研究未来的发展趋势。

关键词: 作物根系, 原位观测, 根系识别, X射线层析成像

Abstract: Plant roots is the vital organs which can obtain nutrients and water from the soil and support the plants body, as complexity morphology and soil opaque properties of root hinders the observation of root system, and the lack of roots observation method in situ has become the technological bottlenecks for in-depth study of roots. This paper reviewed from the two aspects of root observations and recognition algorithms. On the root observations techniques, minirhizotron method (non-destructive two-dimensional root observation) and X-ray computed tomography (XCT), three-dimensional root system architecture observation methods in situ were reviewed, and their advantages and disadvantages were showed. On the root recognition algorithms, 2D root morphologic and 3D architecture recognition algorithms was analyzed, the applicability and limitation were pointed out. Finally, on the basis of in-depth analysis for the two observation and recognition technologies, it can concluded that the root observation techniques in situ with XCT in the natural soil media is the future development trends of root three-dimensional architectures quantification analysis.

Key words: crops roots, observation and measurement in situ, roots recognition, X-ray computed tomography