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Modelling the Guayule plant growth and development with a Functional Structural Plant Model [S1-O.08]

Sabatier S.A., Jaeger M., Hemery N., Mougani C., Abed Alsater A., De Reffye P., Palu S., Brancheriau L.. 2019. In : Crop modelling for agriculture and food security under global change: Book of abstracts. Montpellier : CIRAD, 52 p.. International Crop Modelling Symposium (iCROPM 2020). 2, 2020-02-03/2020-02-05, Montpellier (France).

Introduction The Guayule (Parthenium argentatum, Asteraceae), is a small ramified tree native to the northern Mexico and south western United States. The guayule shows a growing interest in research and agriculture (Ray, 1993). Howe-ver, the production itineraries in relation to latex production are still not assessed, and so far little studies were done on the plant structure and functioning. This study aims to propose a first FSPM of the species using the Green-Lab model, calibrated from data issued from two varieties in different environmental conditions. Materials and Methods The studying methodology is first based on a qualitative architectural analysis (Barthelemy and al., 2007). Second, on the various axis typologies, the development and branching stochastic rules can then be retrieved from field internode distributions collections. Finally, the organ source and sink relations parameters can be fitted from dedi-cated dry weight measurements (Kang et al., 2018).Experimental plots were hold south of France, close to Montpellier on two varieties CL1 and CLA1, with four envi-ronmental conditions related to density and hydric pressure (no stress, low stress and high stress).. The sampling was optimized to the plant structure and to quantify the polyisoprene and resins contents.Results and Discussion The guayule shows a sympodial development is composed of modules with terminal inflorescence. Its architecture corresponds to the Leeuwenberg's model (Hallé et al., 1978). The axes are constituted of successive modules. Stu-dying the plant structure, we found out that the number of relay axis per module follows a binomial distribution. The modules are ordered from the plant base to the top. And these modules are composed of internodes whose number also follows a binomial law, which parameters are quite stable from one order to another. In the further modelling process, we thus did consider that the plant elementary unit was the module, called as a meta­phytomer. Under

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