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

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Relation http://oar.icrisat.org/11426/
https://doi.org/10.1002/csc2.20048
doi:10.1002/csc2.20048
 
Title CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate
 
Creator Ramirez‐Villegas, J
Molero Milan, A
Alexandrov, N
Asseng, S
Challinor, A J
Crossa, J
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
 
Subject Crop Modelling
Crop Improvement
Plant Breeding
Climate Change
 
Description Crop improvement efforts aiming at increasing crop production (quantity, quality)and adapting to climate change have been subject of active research over the pastyears. But, the question remains ‘to what extent can breeding gains be achievedunder a changing climate, at a pace sufficient to usefully contribute to climate adap-tation, mitigation and food security?’. Here, we address this question by criticallyreviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on InternationalAgricultural Research but now known simply as CGIAR) breeding programs. Cropmodeling can underpin breeding efforts in many different ways, including assessinggenotypic adaptability and stability, characterizing and identifying target breedingenvironments, identifying tradeoffs among traits for such environments, and mak-ing predictions of the likely breeding value of the genotypes. Crop modeling sciencewithin the CGIAR has contributed to all of these. However, much progress remainsto be done if modeling is to effectively contribute to more targeted and impactfulbreeding programs under changing climates. In a period in which CGIAR breedingprograms are undergoing a major modernization process, crop modelers will needto be part of crop improvement teams, with a common understanding of breedingpipelines and model capabilities and limitations, and common data standards and pro-tocols, to ensure they follow and deliver according to clearly defined breeding prod-ucts. This will, in turn, enable more rapid and better-targeted crop modeling activities,thus directly contributing to accelerated and more impactful breeding efforts.
 
Publisher Crop Science Society of America
 
Date 2020-03
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11426/1/csc2.20048.pdf
Ramirez‐Villegas, J and Molero Milan, A and Alexandrov, N and Asseng, S and Challinor, A J and Crossa, J and Eeuwijk, F and Ghanem, M E and Grenier, C and Heinemann, A B and Wang, J and Juliana, P and Kehel, Z and Kholova, J and Koo, J and Pequeno, D and Quiroz, R and Rebolledo, M C and Sukumaran, S and Vadez, V and White, J W and Reynolds, M (2020) CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science (TSI). pp. 1-21. ISSN 0011-183X