Role of Modelling in International Crop Research: Overview and Some Case Studies

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dc.creatorReynolds, Matthew P.
dc.creatorKropff, Martin
dc.creatorCrossa, José
dc.creatorKoo, Jawoo
dc.creatorKruseman, Gideon K.
dc.creatorMolero Milan, Anabel
dc.creatorRutkoski, Jessica
dc.creatorSchulthess, Urs C.
dc.creatorBalwinder-Singh, Poonia, S.
dc.creatorSonder, Kai
dc.creatorTonnang, Henri E.Z.
dc.creatorVadez, Vincent
dc.date2018
dc.date2019-03-07T19:59:52Z
dc.date2019-03-07T19:59:52Z
dc.date.accessioned2026-06-27T04:13:28Z
dc.descriptionCrop modelling has the potential to contribute to global food and nutrition security. This paper briefly examines the history of crop modelling by international crop research centres of the CGIAR (formerly Consultative Group on International Agricultural Research but now known simply as CGIAR), whose primary focus is on less developed countries. Basic principles of crop modelling building up to a Genotype × Environment × Management × Socioeconomic (G × E × M × S) paradigm, are explained. Modelling has contributed to better understanding of crop performance and yield gaps, better prediction of pest and insect outbreaks, and improving the efficiency of crop management including irrigation systems and optimization of planting dates. New developments include, for example, use of remote sensed data and mobile phone technology linked to crop management decision support models, data sharing in the new era of big data, and the use of genomic selection and crop simulation models linked to environmental data to help make crop breeding decisions. Socio-economic applications include foresight analysis of agricultural systems under global change scenarios, and the consequences of potential food system shocks are also described. These approaches are discussed in this paper which also calls for closer collaboration among disciplines in order to better serve the crop research and development communities by providing model based recommendations ranging from policy development at the level of governmental agencies to direct crop management support for resource poor farmers.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/100195
dc.identifier.urihttp://hdl.handle.net/123456789/25675
dc.languageen
dc.publisherMDPI
dc.relationhttps://doi.org/10.1002/csc2.20048
dc.rightsOpen Access
dc.sourceReynolds, Matthew; Kropff, Martin; Crossa, Jose; Koo, Jawoo; Kruseman, Gideon; Molero Milan, Anabel; Rutkoski, Jessica; Schulthess, Urs; Balwinder-Singh; Sonder, Kai; Tonnang, Henri & Vadez, Vincent . (2018). Role of Modelling in International Crop Research: Overview and Some Case Studies. Agronomy, 8(12): 291
dc.subjectcrop modelling
dc.subjectagricultural research
dc.subjectcgiar
dc.subjectcrop management
dc.subjectfood security
dc.subjectfood systems
dc.subjectdata
dc.subjectbig data
dc.titleRole of Modelling in International Crop Research: Overview and Some Case Studies
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)