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

文献类型： 外文期刊

第一作者： Ramirez-Villegas, Julian

作者： Ramirez-Villegas, Julian;Grenier, Cecile;Rebolledo, Maria C.;Ramirez-Villegas, Julian;Molero Milan, Anabel;Crossa, Jose;Juliana, Philomin;Pequeno, Diego;Sukumaran, Sivakumar;Reynolds, Matthew;Alexandrov, Nickolai;Asseng, Senthold;Challinor, Andrew J.;van Eeuwijk, Fred;Ghanem, Michel Edmond;Kehel, Zakaria;Ghanem, Michel Edmond;Grenier, Cecile;Rebolledo, Maria C.;Grenier, Cecile;Rebolledo, Maria C.;Heinemann, Alexandre B.;Wang, Jiankang;Kholova, Jana;Vadez, Vincent;Koo, Jawoo;Quiroz, Roberto;Quiroz, Roberto;White, Jeffrey W.

作者机构：

期刊名称：CROP SCIENCE （ 影响因子：2.319； 五年影响因子：2.631 ）

ISSN： 0011-183X

年卷期： 2020 年 60 卷 2 期

页码：

收录情况： SCI

摘要： 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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