Injury profile SIMulator, a Qualitative aggregative modelling framework to predict injury profile as a function of cropping practices, and abiotic and biotic environment. II. Proof of concept: design of IPSIM-wheat-eyespot

IPSIM (Injury Profile SIMulator) is a generic modelling framework presented in a companion paper. It aims at predicting a crop injury profile as a function of cropping practices and abiotic and biotic environment. IPSIM's modelling approach consists of designing a model with an aggregative hier...

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Bibliographic Details
Published in:PloS one 2013-10, Vol.8 (10), p.e75829-e75829
Main Authors: Robin, Marie-Hélène, Colbach, Nathalie, Lucas, Philippe, Montfort, Françoise, Cholez, Célia, Debaeke, Philippe, Aubertot, Jean-Noël
Format: Article
Language:English
Subjects:
Agricultural production
Agriculture
Analysis
Annual variations
Ascomycota - growth & development
Ascomycota - pathogenicity
Computer Simulation
Cropping systems
Crops, Agricultural - microbiology
Cultivars
Environment models
Environmental Sciences
Eye
Eyespot
Fertilizers - statistics & numerical data
Forecasting
Humanities and Social Sciences
Humans
Incidence
Injuries
Innovations
Life Sciences
Models, Statistical
Pesticides
Plant Diseases - microbiology
Predictions
Pseudocercosporella herpotrichoides
Rankings
Seasons
Software
Triticum - microbiology
Vegetal Biology
Wheat
Wheat industry
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Summary:IPSIM (Injury Profile SIMulator) is a generic modelling framework presented in a companion paper. It aims at predicting a crop injury profile as a function of cropping practices and abiotic and biotic environment. IPSIM's modelling approach consists of designing a model with an aggregative hierarchical tree of attributes. In order to provide a proof of concept, a model, named IPSIM-Wheat-Eyespot, has been developed with the software DEXi according to the conceptual framework of IPSIM to represent final incidence of eyespot on wheat. This paper briefly presents the pathosystem, the method used to develop IPSIM-Wheat-Eyespot using IPSIM's modelling framework, simulation examples, an evaluation of the predictive quality of the model with a large dataset (526 observed site-years) and a discussion on the benefits and limitations of the approach. IPSIM-Wheat-Eyespot proved to successfully represent the annual variability of the disease, as well as the effects of cropping practices (Efficiency = 0.51, Root Mean Square Error of Prediction = 24%; bias = 5.0%). IPSIM-Wheat-Eyespot does not aim to precisely predict the incidence of eyespot on wheat. It rather aims to rank cropping systems with regard to the risk of eyespot on wheat in a given production situation through ex ante evaluations. IPSIM-Wheat-Eyespot can also help perform diagnoses of commercial fields. Its structure is simple and permits to combine available knowledge in the scientific literature (data, models) and expertise. IPSIM-Wheat-Eyespot is now available to help design cropping systems with a low risk of eyespot on wheat in a wide range of production situations, and can help perform diagnoses of commercial fields. In addition, it provides a proof of concept with regard to the modelling approach of IPSIM. IPSIM-Wheat-Eyespot will be a sub-model of IPSIM-Wheat, a model that will predict injury profile on wheat as a function of cropping practices and the production situation.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0075829