CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate

cg.contactJ.R.Villegas@CGIAR.ORGen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerInternational Food Policy Research Institute - IFPRIen_US
cg.contributor.centerInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.centerInternational Potato Center - CIPen_US
cg.contributor.centerUnited States Department of Agriculture - USDAen_US
cg.contributor.centerUniversity of Florida - UFen_US
cg.contributor.centerWageningen University & Research Centre - WURen_US
cg.contributor.centerUniversity of Leeds - UOLen_US
cg.contributor.centerInternational Rice Research Institute - IRRIen_US
cg.contributor.centerEmpresa Brasileira de Pesquisa Agropecuária - EMBRAPAen_US
cg.contributor.centerMohammed VI Polytechnic University - UM6Pen_US
cg.contributor.centerChinese Academy of Agricultural Sciences, Institute of Crop Science - CAAS-ICSen_US
cg.contributor.centerCentro Agronómico Tropical de Investigación y Enseñanza - (CATIE)en_US
cg.contributor.centerThe French Agricultural Research Centre for International Development, UMR: Mediterranean and Tropical Livestock Systems - CIRAD - UMR SELMETen_US
cg.contributor.centerSão Paulo Research Foundation - FAPESPen_US
cg.contributor.crpCGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFSen_US
cg.contributor.crpCGIAR Research Program on Rice, The Global Rice Science Partnership - GRiSPen_US
cg.contributor.crpCGIAR Research Program on Maize - MAIZEen_US
cg.contributor.crpCGIAR Research Program on Wheat - WHEATen_US
cg.contributor.crpBig Data in Agriculture - BDAen_US
cg.contributor.crpExcellence in Breeding - EiBen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCRP WHEAT Phase IIen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idRamirez-Villegas, Julian: 0000-0002-8044-583Xen_US
cg.creator.idGhanem, Michel Edmond: 0000-0003-0626-7622en_US
cg.creator.idKehel, Zakaria: 0000-0002-1625-043Xen_US
cg.creator.idQuiroz, Roberto: 0000-0001-8401-2700en_US
cg.creator.idVadez, Vincent: 0000-0003-2014-0281en_US
cg.identifier.doihttps://dx.doi.org/10.1002/csc2.20048en_US
cg.isijournalISI Journalen_US
cg.issn0011-183Xen_US
cg.issue2en_US
cg.journalCrop Scienceen_US
cg.subject.agrovocheat toleranceen_US
cg.volume60en_US
dc.contributorMolero Milan, Anabelen_US
dc.contributorAlexandrov, Nickolaien_US
dc.contributorAsseng, Sentholden_US
dc.contributorJ Challinor, Andrewen_US
dc.contributorCrossa, Joseen_US
dc.contributorvan Eeuwijk, Freden_US
dc.contributorGhanem, Michel Edmonden_US
dc.contributorGrenier, Cecileen_US
dc.contributorB. Heinemann, Alexandreen_US
dc.contributorWang, Jiankangen_US
dc.contributorJuliana, Philominen_US
dc.contributorKehel, Zakariaen_US
dc.contributorKholova, Janaen_US
dc.contributorKoo, Jawooen_US
dc.contributorPequeno, Diegoen_US
dc.contributorQuiroz, Robertoen_US
dc.contributorC. Rebolledo, Mariaen_US
dc.contributorSukumaran, Sivakumaren_US
dc.contributorVadez, Vincenten_US
dc.contributorW. White, Jeffreyen_US
dc.contributorReynolds, Matthewen_US
dc.creatorRamirez-Villegas, Julianen_US
dc.date.accessioned2020-10-07T07:46:30Z
dc.date.available2020-10-07T07:46:30Z
dc.description.abstractCrop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains ‘to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?’. Here, we address this question by critically reviewing how model‐based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better‐targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/7b47f458245d311d06e8ba2bf9c6941e/v/eafdd729f803a8c753c414e92923e46den_US
dc.identifier.citationJulian Ramirez-Villegas, Anabel Molero Milan, Nickolai Alexandrov, Senthold Asseng, Andrew J Challinor, Jose Crossa, Fred van Eeuwijk, Michel Edmond Ghanem, Cecile Grenier, Alexandre B. Heinemann, Jiankang Wang, Philomin Juliana, Zakaria Kehel, Jana Kholova, Jawoo Koo, Diego Pequeno, Roberto Quiroz, Maria C. Rebolledo, Sivakumar Sukumaran, Vincent Vadez, Jeffrey W. White, Matthew Reynolds. (1/4/2020). CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science, 60 (2), pp. 547-567.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/11868
dc.languageenen_US
dc.publisherCrop Science Society of Americaen_US
dc.rightsCopyrighted; Non-commercial educational use onlyen_US
dc.sourceCrop Science;60,(2020) Pagination 547-567en_US
dc.subjectphysiological traitsen_US
dc.subjectx environment interactionen_US
dc.subjectgenome-enabled predictionen_US
dc.subjectpedigree-based predictionen_US
dc.subjectlens-culinaris medik.en_US
dc.subjectdry bean modelen_US
dc.subjectdrought-stressen_US
dc.subjectyield gainsen_US
dc.subjectrice yielden_US
dc.titleCGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climateen_US
dc.typeJournal Articleen_US
dcterms.available2020-01-13en_US
dcterms.extent547-567en_US
dcterms.issued2020-04-01en_US
mel.impact-factor1.878en_US

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