DocumentCode :
2506639
Title :
Modelling Root Development with Signalling Control: A Case Study Based on Legume Autoregulation of Nodulation
Author :
Han, Liqi ; Gresshoff, Peter M. ; Hanan, Jim
Author_Institution :
ARC Centre of Excellence for Integrative Legume Res., Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2009
fDate :
9-13 Nov. 2009
Firstpage :
134
Lastpage :
141
Abstract :
In legume plants, the balance of nodule formation is maintained by a long-distance shoot-root signalling system known as autoregulation of nodulation. Due to the complexity of plants´ signalling nature, the underlying mechanisms of autoregulation of nodulation still remain largely unknown. The purpose of our research is to use functional-structural plant modelling to help in further investigating this regulatory system. For such a purpose, there are two major challenges to be met: modelling the 3D architecture of legume roots and coordinating signalling-development processes with various rates. Using soybean as the target plant and L-studio as the modelling platform, we have developed a series of methods and techniques to collect root development data, reconstruct root architecture, and synchronise the multi-rate signalling and developmental events. These methods and techniques may also be applicable to studies on lateral root initiation and relevant regulations.
Keywords :
botany; physiological models; functional-structural plant modelling; legume autoregulation; multirate signalling; nodulation; root development modelling; shoot-root signalling system; signalling control; soybean; Australia; Biological control systems; Biological system modeling; Information technology; Nitrogen; Plants (biology); Production; Signal processing; Soil; Solid modeling; Computational biology; Computer simulation; L-system; Plant architecture; Plant signalling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2009 Third International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-7695-3988-1
Electronic_ISBN :
978-1-4244-6330-5
Type :
conf
DOI :
10.1109/PMA.2009.40
Filename :
5474919
Link To Document :
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