Analysis and modeling of the root system architecture of winter wheat seedlings

Zhang Bao Gui, De Reffye Philippe, Liu L., Kang Meng Zhen, Li B.G.. 2003. Analysis and modeling of the root system architecture of winter wheat seedlings. In : Plant growth modeling and applications. Proceedings PMA03 : The First International symposium on plant growth modeling, simulation, visualization and their applications, Beijing, China, October 13-16, 2003. Hu Bao-Gang (ed.), Jaeger Marc (ed.). Institut d'automatique-LIAMA, Chinese Agriculture University. Pékin : Tsinghua University Press, 321-328. ISBN 7-302-07140-3 International Symposium on Plant Growth Modeling, Simulation, Visualization and their Applications (PMA03). 1, Pékin, Chine, 13 Octobre 2003/16 Octobre 2003.

Résumé : Plant root system plays an essential role in the acquisition of the edaphic resources, which are subject to local depletion. The size as well as the architecture of the root system determines the efficiency of the acquisition. In the present study, a stochastic model of plant root system architecture is formulated. The continuous growth and development of root system is described and modelled by stochastic processes (discrete events associated with a certain probability). The parameters of the model for each growth cycle include branching probability, w (rhythm ratio main axis vs. lateral roots), b (probability of growth) and c (probability of survival). Root segments were presented as connections of individual nodes. As root has no nodes in the sense of the botanical terms, an imaginary node with an elementary length is introduced. In order to obtain the parameters of the model, winter wheat seedlings were grown in a phytotron in sand culture watered by nutrient solution. Individual roots of 19-days-old seedlings were scanned and the images obtained were analysed with a root image-analysing software WinRhizo. Roots were clustered into 3 relatively homogeneous groups after an analysis of similarity according to 4 criteria: length of main axe, diameter of root apex of the main axe, lateral length density (total length of lateral roots per unit of main axe length), lateral root density (number of lateral roots per unit of main axe). In each root group, the parameters were fitted with a non-linear generalised least square method by comparing the theoretical length of root segments of various orders with the experimental data.

Mots-clés Agrovoc : Triticum, système racinaire, modèle de simulation, modèle mathématique, croissance, développement biologique, racine, ramification, dimension

Classification Agris : U10 - Informatique, mathématiques et statistiques
F50 - Anatomie et morphologie des plantes
F62 - Physiologie végétale - Croissance et développement

Auteurs et affiliations

• Zhang Bao Gui, CAU [China Agricultural University] (CHN)
• De Reffye Philippe, CIRAD-AMIS-AMAP (FRA)
• Liu L., CAU [China Agricultural University] (CHN)
• Kang Meng Zhen, Institute of Automation (CHN)
• Li B.G., CAU [China Agricultural University] (CHN)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/520443/)

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