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Last update: May 2021

Sub-task 4.2.2: Modelling of pathogen injury profiles and their related damage

Durum wheat

The implementation of Integrated Pest Management (IPM) strategies require the consideration of injury profiles and the associated damages and to combine cultural, biological, genetic, physical and chemical control methods.

However, models are lacking to help handle such levels of complexity.

The objective of this sub-task is complementary to the sub-task 4.2.1 because it not only aims at developing models that represents the pathogen injury profile of a crop, but also representing crop loss (reduction in yield quality and quantity) under the influence of 5 control methods (cultural, biological, genetic, physical and chemical).

The models produced will be as generic as possible, but they will be developed only for two crops: wheat and sunflower.

Wheat being the main arable crop in Europe and in France, it is particularly important to be able to perform diagnosis of the relative yield loss caused by various pests.

A model, named WHEATPEST has been developed to represent yield losses caused by injury profiles for various production situations (Willocquet et al. 2008).

It is proposed to develop a complementary module in WHEATPEST in order to link the disease injury profile to production situation.

Up until now, this link has been analysed using statistical relationships between production situations and injury profile, but a more precise description of cultural practices and the related injury profile is required.

A PhD thesis on the modelling of the effects of cultural practices on the disease injury profile of wheat has been launched in the beginning of 2010 at EIP (Graduate School of Purpan).

This work will rely on the WHEATPEST formalisms for the modelling part and the cropping system experiment conducted in the Lamothe domain for the experimental part (sub-task 4.1.3).

The reason why sunflower was also included in this sub-task is that, due to its agronomical advantages, this crop should play a key role in low input cropping systems, although it suffers from the attacks of 4 major diseases (phma, phomopsis, sclerotinia, downy mildew).

A model is therefore needed to help to define IPM strategies to control diseases on sunflower.

The modelling work will be based on the model SUNFLO (Casadebaig et al. 2009) that represents the interaction between the cultivar, the environment, and the crop management on oil production, but that, up until now, does not take into account biotic stresses as the majority of crop models.

Concerning the technical aspects of the software, the model will be developed using the RECORD platform in order to help define the generic structure of the MicMac platform.

This study is part of a PhD thesis that started at autumn 2009 at the UMR AGIR, INRA Toulouse on the analysis and the modelling of sunflower pathogen injuries and damages under the influence of cultural practices.

The involved partners in this task are UMR AGIR and EIP.