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

Crop 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 useful...

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Main Authors:	Ramirez-Villegas, Julian, Molero Milan, Anabel, Alexandrov, Nickolai, Asseng, Senthold, Challinor, Andrew J., Crossa, Jose, Eeuwijk, Fred van, Ghanem, Michel E., y 14 autores más
Format:	Artículo
Language:	Inglés
Published:	American Society of Agronomy 2021
Subjects:	CAMBIO CLIMÁTICO CULTIVO PRODUCCION DE CULTIVOS MITIGACIÓN DEL CAMBIO CLIMÁTICO SEGURIDAD ALIMENTARIA MODELACION CAMBIO GLOBAL EMISIONES DE GASES DE EFECTO INVERNADERO CRECIMIENTO DE LA POBLACION AGRICULTORES
Online Access:	https://repositorio.catie.ac.cr/handle/11554/10231

id	RepoCATIE10231
record_format	dspace
spelling	RepoCATIE102312023-11-16T16:36:38Z CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate Ramirez-Villegas, Julian Molero Milan, Anabel Alexandrov, Nickolai Asseng, Senthold Challinor, Andrew J. Crossa, Jose Eeuwijk, Fred van Ghanem, Michel E. y 14 autores más CAMBIO CLIMÁTICO CULTIVO PRODUCCION DE CULTIVOS MITIGACIÓN DEL CAMBIO CLIMÁTICO SEGURIDAD ALIMENTARIA MODELACION CAMBIO GLOBAL EMISIONES DE GASES DE EFECTO INVERNADERO CRECIMIENTO DE LA POBLACION AGRICULTORES Crop 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. 2021-01-22T18:24:05Z 2021-01-22T18:24:05Z 2020 Artículo DOI: 10.1002/csc2.20048 https://repositorio.catie.ac.cr/handle/11554/10231 en Crop Science info:eu-repo/semantics/openAccess application/pdf American Society of Agronomy
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	CAMBIO CLIMÁTICO CULTIVO PRODUCCION DE CULTIVOS MITIGACIÓN DEL CAMBIO CLIMÁTICO SEGURIDAD ALIMENTARIA MODELACION CAMBIO GLOBAL EMISIONES DE GASES DE EFECTO INVERNADERO CRECIMIENTO DE LA POBLACION AGRICULTORES
spellingShingle	CAMBIO CLIMÁTICO CULTIVO PRODUCCION DE CULTIVOS MITIGACIÓN DEL CAMBIO CLIMÁTICO SEGURIDAD ALIMENTARIA MODELACION CAMBIO GLOBAL EMISIONES DE GASES DE EFECTO INVERNADERO CRECIMIENTO DE LA POBLACION AGRICULTORES Ramirez-Villegas, Julian Molero Milan, Anabel Alexandrov, Nickolai Asseng, Senthold Challinor, Andrew J. Crossa, Jose Eeuwijk, Fred van Ghanem, Michel E. y 14 autores más CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
description	Crop 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.
format	Artículo
author	Ramirez-Villegas, Julian Molero Milan, Anabel Alexandrov, Nickolai Asseng, Senthold Challinor, Andrew J. Crossa, Jose Eeuwijk, Fred van Ghanem, Michel E. y 14 autores más
author_facet	Ramirez-Villegas, Julian Molero Milan, Anabel Alexandrov, Nickolai Asseng, Senthold Challinor, Andrew J. Crossa, Jose Eeuwijk, Fred van Ghanem, Michel E. y 14 autores más
author_sort	Ramirez-Villegas, Julian
title	CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
title_short	CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
title_full	CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
title_fullStr	CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
title_full_unstemmed	CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
title_sort	cgiar modeling approaches for resource-constrained scenarios: i. accelerating crop breeding for a changing climate
publisher	American Society of Agronomy
publishDate	2021
url	https://repositorio.catie.ac.cr/handle/11554/10231
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CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate

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