Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Robin, Marie-Hélène, Colbach, Nathalie, Lucas, Philippe, Montfort, Françoise, Cholez, Célia, Debaeke, Philippe, Aubertot, Jean-Noël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797717/
https://www.ncbi.nlm.nih.gov/pubmed/24146783
http://dx.doi.org/10.1371/journal.pone.0075829
_version_ 1782287652573151232
author Robin, Marie-Hélène
Colbach, Nathalie
Lucas, Philippe
Montfort, Françoise
Cholez, Célia
Debaeke, Philippe
Aubertot, Jean-Noël
author_facet Robin, Marie-Hélène
Colbach, Nathalie
Lucas, Philippe
Montfort, Françoise
Cholez, Célia
Debaeke, Philippe
Aubertot, Jean-Noël
author_sort Robin, Marie-Hélène
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3797717
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37977172013-10-21 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 Robin, Marie-Hélène Colbach, Nathalie Lucas, Philippe Montfort, Françoise Cholez, Célia Debaeke, Philippe Aubertot, Jean-Noël PLoS One Research Article 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. Public Library of Science 2013-10-16 /pmc/articles/PMC3797717/ /pubmed/24146783 http://dx.doi.org/10.1371/journal.pone.0075829 Text en © 2013 Robin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Robin, Marie-Hélène
Colbach, Nathalie
Lucas, Philippe
Montfort, Françoise
Cholez, Célia
Debaeke, Philippe
Aubertot, Jean-Noël
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797717/
https://www.ncbi.nlm.nih.gov/pubmed/24146783
http://dx.doi.org/10.1371/journal.pone.0075829
work_keys_str_mv AT robinmariehelene injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT colbachnathalie injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT lucasphilippe injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT montfortfrancoise injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT cholezcelia injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT debaekephilippe injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot
AT aubertotjeannoel injuryprofilesimulatoraqualitativeaggregativemodellingframeworktopredictinjuryprofileasafunctionofcroppingpracticesandabioticandbioticenvironmentiiproofofconceptdesignofipsimwheateyespot