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

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dc.creatorRamírez Villegas, Julián Armando
dc.creatorMolero Milan, Anabel
dc.creatorAlexandrov, Nickolai
dc.creatorAsseng, Senthold
dc.creatorChallinor, Andrew J.
dc.creatorCrossa, José
dc.creatorEeuwijk, Fred A. van
dc.creatorGhanem, Michel Edmond
dc.creatorGrenier, Cécile
dc.creatorHeinemann, Alexandre B.
dc.creatorWang, Jiankang
dc.creatorJuliana, Philomin
dc.creatorKehel, Zakaria
dc.creatorKholová, Jana
dc.creatorKoo, Jawoo
dc.creatorPequeno, Diego Notelo Luz
dc.creatorQuiróz, Roberto
dc.creatorRebolledo, Maria C.
dc.creatorSukumaran, Sivakumar
dc.creatorVadez, Vincent
dc.creatorWhite, Jeffrey W.
dc.creatorReynolds, Matthew P.
dc.date2020-03-04
dc.date2020-05-25T21:38:19Z
dc.date2020-05-25T21:38:19Z
dc.date.accessioned2026-06-27T13:27:03Z
dc.descriptionCrop 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/108316
dc.identifier.urihttp://hdl.handle.net/123456789/59774
dc.languageen
dc.publisherWiley
dc.relationhttps://dx.doi.org/10.3390/agronomy8120291
dc.rightsOpen Access
dc.sourceRamirez‐Villegas, J.; Molero Milan, A.; Alexandrov, N.; Asseng, S.; Challinor, A.J.; Crossa, J.; van Eeuwijk, F.; Ghanem, M.E.; Grenier, C.; Heinemann, A.B.; Wang, J.; Juliana, P.; Kehel, Z.; Kholova, J.; Koo, J.; Pequeno, D.; Quiroz, R.; Rebolledo, M.C.; Sukumaran, S.; Vadez, V.; White, J.W.; Reynolds, M. 2020 CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science ISSN: 0011-183X 21 p.
dc.subjectagricultura
dc.subjectagriculture
dc.subjectclimate
dc.subjectclima
dc.subjectproduction
dc.subjectanalysis
dc.subjectanálisis
dc.subjectproducción
dc.subjectmodelling
dc.subjectcrop modelling
dc.subjectcgiar
dc.subjectresources
dc.subjectcrops
dc.subjectcultivation
dc.subjectcrop production
dc.subjectclimate change
dc.subjectclimate change adaptation
dc.subjectbreeding
dc.subjectplant breeding
dc.subjectcrop improvement
dc.titleCGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
dc.typeJournal Article

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