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dc.contributor.authorRamirez-Villegas, Julian
dc.contributor.authorMolero Milan, Anabel
dc.contributor.authorAlexandrov, Nickolai
dc.contributor.authorAsseng, Senthold
dc.contributor.authorChallinor, Andrew J.
dc.contributor.authorCrossa, Jose
dc.contributor.authorEeuwijk, Fred van
dc.contributor.authorGhanem, Michel E.
dc.contributor.authory 14 autores más
dc.date.accessioned2021-01-22T18:24:05Z
dc.date.available2021-01-22T18:24:05Z
dc.date.issued2020
dc.identifier.uriDOI: 10.1002/csc2.20048
dc.identifier.urihttps://repositorio.catie.ac.cr/handle/11554/10231
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.es_ES
dc.language.isoenes_ES
dc.publisherAmerican Society of Agronomyes_ES
dc.relation.ispartofCrop Sciencees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectCAMBIO CLIMÁTICOes_ES
dc.subjectCULTIVOes_ES
dc.subjectPRODUCCION DE CULTIVOSes_ES
dc.subjectMITIGACIÓN DEL CAMBIO CLIMÁTICOes_ES
dc.subjectSEGURIDAD ALIMENTARIAes_ES
dc.subjectMODELACIONes_ES
dc.subjectCAMBIO GLOBALes_ES
dc.subjectEMISIONES DE GASES DE EFECTO INVERNADEROes_ES
dc.subjectCRECIMIENTO DE LA POBLACIONes_ES
dc.subjectAGRICULTORESes_ES
dc.titleCGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climatees_ES
dc.typeArtículoes_ES


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