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

Ramirez-Villegas, Julian; Molero Milan, Anabel; Alexandrov, Nickolai 1; 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

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.

Saved in:

Bibliographic Details
Main Authors:	Ramirez-Villegas, Julian, Molero Milan, Anabel, Alexandrov, Nickolai 1, Asseng, Senthold, Challinor, Andrew J., Crossa, Jose, Eeuwijk, Fred van, Ghanem, Michel E., y 14 autores más.
Format:	Texto biblioteca
Language:	spa
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.bibliotecaorton.catie.ac.cr/handle/11554/10231
Tags:	Add Tag No Tags, Be the first to tag this record!

id	KOHA-OAI-BVE:148676
record_format	koha
spelling	KOHA-OAI-BVE:1486762022-03-11T22:07:43ZCGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate Ramirez-Villegas, Julian Molero Milan, Anabel Alexandrov, Nickolai 1 Asseng, Senthold Challinor, Andrew J. Crossa, Jose Eeuwijk, Fred van Ghanem, Michel E. y 14 autores más. textAmerican Society of Agronomy2020spaCrop 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.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.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 AGRICULTOREShttps://repositorio.bibliotecaorton.catie.ac.cr/handle/11554/10231
institution	IICA
collection	Koha
country	Costa Rica
countrycode	CR
component	Bibliográfico
access	En linea En linea
databasecode	cat-sibiica
tag	biblioteca
region	America Central
libraryname	Sistema de Bibliotecas IICA/CATIE
language	spa
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 1 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	Texto
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 1 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 1 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.bibliotecaorton.catie.ac.cr/handle/11554/10231
work_keys_str_mv	AT ramirezvillegasjulian cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT moleromilananabel cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT alexandrovnickolai1 cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT assengsenthold cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT challinorandrewj cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT crossajose cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT eeuwijkfredvan cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT ghanemmichele cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate AT y14autoresmas cgiarmodelingapproachesforresourceconstrainedscenariosiacceleratingcropbreedingforachangingclimate
_version_	1756067872929480705

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

Similar Items

Resource Map