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 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.

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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 biblioteca
Language:English
Published: American Society of Agronomy 2020
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
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spelling dig-catie-11554-102312023-11-16T16:36:38Z 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 CATIE
collection DSpace
country Costa Rica
countrycode CR
component Bibliográfico
access En linea
databasecode dig-catie
tag biblioteca
region America Central
libraryname Biblioteca Conmemorativa Orton
language English
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
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
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
topic_facet 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
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 2020
url https://repositorio.catie.ac.cr/handle/11554/10231
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