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INRAE

24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal Institut Agro Montpellier LEPSE membre de Montpellier Université d'Excellence Labex AGRO Institut Carnot DigitAg

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Leveau Stéphane

Leveau Stéphane
Modelling and analysis of interactions between genetic variability, water stress and nitrogen demand on growth and tillering in wheat.

Researcher Doctoral student in CIFRE with ITK SAS and l'UMR LEPSE

Title of thesis subject

Modelling and analysis of interactions between genetic variability, water stress and nitrogen demand on growth and tillering in wheat.

Abstract

Cereal cultivation is subject to environmental constraints, the intensity and frequency of which have increased over the last two decades, particularly due to the acceleration of global warming. These changes in production conditions force farmers to better reason the use of inputs and the choice of varieties. To face these difficulties, iTK is developing decision support tools that provide useful information to farmers and agricultural technicians to optimise the use of inputs and adapt the choice of varieties to local production constraints. These tools are based on plant growth simulation models, whose capacity to predict the interactions between the environment and the genotype remains limited. The main limitation of current models is their representation of leaf growth controls.
In this context, the objective of the thesis is to explain the phenotypic plasticity of leaf growth and aerial architecture in wheat, the most widely cultivated cereal in the world, in response to environmental contrasts. The first expected output is the design of an ecophysiological model of leaf growth and branching (tillering). This model will be implemented in the wheat yield and protein prediction model SiriusQuality developed by the host laboratory (UMR LEPSE). The model will be built in such a way that its parameters can be easily measured.
Experiments will be conducted on the M3P high-throughput phenotyping platform of UMR LEPSE to study the genetic variability of the model parameters. At the end of the thesis, the capacity of the model to predict the dynamics of the surface area and its components under different scenarios of climatic conditions and nitrogen fertilisation for different genotypes will be evaluated using the databases of field experiments available at UMR LEPSE and iTK.
keywords: wheat, leaf growth, tillering, ecophysiology, nitrogen fertilisation, water-nitrogen interaction, crop model
 

Management

UMR LEPSE - INRAE :  Pierre Martre (thesis supervisor) and Boris Parent (co-supervision)

ITK SAS : Amelie Pinet and Serge Zaka (doctors in agronomy)

Contacts

E-mail: stephane.leveau@inrae.fr