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在未来气候条件下,缓解作物渍水方面存在多种前景,为气候危机带来一线希望。

Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates.

机构信息

Tasmanian Institute of Agriculture, University of Tasmania, Newnham Drive, Launceston, TAS, Australia.

MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-construction by Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, China.

出版信息

Nat Commun. 2023 Feb 10;14(1):765. doi: 10.1038/s41467-023-36129-4.

Abstract

Extreme weather events threaten food security, yet global assessments of impacts caused by crop waterlogging are rare. Here we first develop a paradigm that distils common stress patterns across environments, genotypes and climate horizons. Second, we embed improved process-based understanding into a farming systems model to discern changes in global crop waterlogging under future climates. Third, we develop avenues for adapting cropping systems to waterlogging contextualised by environment. We find that yield penalties caused by waterlogging increase from 3-11% historically to 10-20% by 2080, with penalties reflecting a trade-off between the duration of waterlogging and the timing of waterlogging relative to crop stage. We document greater potential for waterlogging-tolerant genotypes in environments with longer temperate growing seasons (e.g., UK, France, Russia, China), compared with environments with higher annualised ratios of evapotranspiration to precipitation (e.g., Australia). Under future climates, altering sowing time and adoption of waterlogging-tolerant genotypes reduces yield penalties by 18%, while earlier sowing of winter genotypes alleviates waterlogging by 8%. We highlight the serendipitous outcome wherein waterlogging stress patterns under present conditions are likely to be similar to those in the future, suggesting that adaptations for future climates could be designed using stress patterns realised today.

摘要

极端天气事件威胁着粮食安全,但对作物受涝害影响的全球评估却很少。在这里,我们首先开发了一种范式,该范式可以提炼出跨环境、基因型和气候范围的常见胁迫模式。其次,我们将改进的基于过程的理解嵌入到一个农业系统模型中,以识别未来气候下全球作物受涝害的变化。第三,我们为适应受涝害影响的种植系统开发了一些途径。我们发现,受涝害导致的产量损失从历史上的 3-11%增加到 2080 年的 10-20%,这一损失反映了涝害持续时间和与作物阶段相对应的涝害时间之间的权衡。我们记录了在具有较长温带生长季节的环境中(例如英国、法国、俄罗斯、中国),与具有较高年蒸发蒸腾量与降水量比值的环境(例如澳大利亚)相比,具有耐涝性基因型的潜力更大。在未来的气候条件下,改变播种时间和采用耐涝性基因型可以将产量损失减少 18%,而提前播种冬性基因型可以减轻 8%的涝害。我们强调了一个偶然的结果,即在当前条件下,涝害胁迫模式可能与未来相似,这表明可以利用今天实现的胁迫模式来设计适应未来气候的措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8639/9918449/da6eb61904cb/41467_2023_36129_Fig1_HTML.jpg

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