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

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cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.affiliationInternational Rice Research Instituteen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.creator.identifierMatthew Paul Reynolds: 0000-0002-4291-4316en
cg.creator.identifierGideon Kruseman: 0000-0002-3392-4176en
cg.creator.identifierJose Crossa: 0000-0001-9429-5855en
cg.creator.identifierAnabel Molero Milan: 0000-0001-7785-2349en
cg.creator.identifierBalwinder-Singh: 0000-0002-6715-2207en
cg.creator.identifierKai Sonder: 0000-0001-9672-5361en
cg.identifier.doihttps://doi.org/10.3390/agronomy8120291en
cg.isijournalISI Journalen
cg.issn2073-4395en
cg.issue12en
cg.journalAgronomyen
cg.reviewStatusPeer Reviewen
cg.volume8en
dc.contributor.authorReynolds, Matthew P.en
dc.contributor.authorKropff, Martinen
dc.contributor.authorCrossa, Joséen
dc.contributor.authorKoo, Jawooen
dc.contributor.authorKruseman, Gideon K.en
dc.contributor.authorMolero Milan, Anabelen
dc.contributor.authorRutkoski, Jessicaen
dc.contributor.authorSchulthess, Urs C.en
dc.contributor.authorBalwinder-Singh, Poonia, S.en
dc.contributor.authorSonder, Kaien
dc.contributor.authorTonnang, Henri E.Z.en
dc.contributor.authorVadez, Vincenten
dc.date.accessioned2019-03-07T19:59:52Zen
dc.date.available2019-03-07T19:59:52Zen
dc.identifier.urihttps://hdl.handle.net/10568/100195
dc.titleRole of Modelling in International Crop Research: Overview and Some Case Studiesen
dcterms.abstractCrop 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.en
dcterms.accessRightsOpen Access
dcterms.available2018-12-04en
dcterms.bibliographicCitationReynolds, 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): 291en
dcterms.extent291en
dcterms.issued2018en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectcrop modellingen
dcterms.subjectagricultural researchen
dcterms.subjectcgiaren
dcterms.subjectcrop managementen
dcterms.subjectfood securityen
dcterms.subjectfood systemsen
dcterms.subjectdataen
dcterms.subjectbig dataen
dcterms.typeJournal Article

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