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确定气候变化下小麦育种的目标性状和分子机制。

Identifying target traits and molecular mechanisms for wheat breeding under a changing climate.

作者信息

Semenov Mikhail A, Halford Nigel G

机构信息

Department of Biomathematics and Bioinformatics, Rothamsted Research, Centre for Mathematical and Computational Biology, Harpenden, Herts AL5 2JQ, UK.

出版信息

J Exp Bot. 2009;60(10):2791-804. doi: 10.1093/jxb/erp164. Epub 2009 Jun 1.

Abstract

Global warming is causing changes in temperature at a rate unmatched by any temperature change over the last 50 million years. Crop cultivars have been selected for optimal performance under the current climatic conditions. With global warming, characterized by shifts in weather patterns and increases in frequency and magnitude of extreme weather events, new ideotypes will be required with a different set of physiological traits. Severe pressure has been placed on breeders to produce new crop cultivars for a future, rapidly-changing environment that can only be predicted with a great degree of uncertainty and is not available in the present day for direct experiments or field trials. Mathematical modelling, therefore, in conjunction with crop genetics, represents a powerful tool to assist in the breeding process. In this review, drought and high temperature are considered as key stress factors with a high potential impact on crop yield that are associated with global warming, focusing on their effects on wheat. Modelling techniques are described which can help to quantify future threats to wheat growth under climate change and simple component traits that are amenable to genetic analysis are identified. This approach could be used to support breeding programmes for new wheat cultivars suitable for future environments brought about by the changing climate.

摘要

全球变暖正导致气温变化,其速度超过了过去五千万年中任何一次温度变化。作物品种是在当前气候条件下为实现最佳性能而选育的。随着全球变暖,其特点是天气模式转变以及极端天气事件的频率和强度增加,将需要具有不同生理特性组合的新理想型品种。育种者面临巨大压力,要为未来快速变化的环境培育新的作物品种,而这种环境只能在高度不确定的情况下预测,且目前无法用于直接实验或田间试验。因此,数学建模与作物遗传学相结合,是协助育种过程的有力工具。在本综述中,干旱和高温被视为对作物产量具有高度潜在影响且与全球变暖相关的关键胁迫因素,重点关注它们对小麦的影响。描述了有助于量化气候变化下未来对小麦生长威胁的建模技术,并确定了适合进行遗传分析的简单组成性状。这种方法可用于支持培育适合气候变化带来的未来环境的新小麦品种的育种计划。

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