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Evidence for divergence of response in Indica, Japonica, and wild rice to high CO2 x temperature interaction

机译:In稻,粳稻和野生稻对高CO2 x温度相互作用的反应差异的证据

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摘要

High CO2 and high temperature have an antagonistic interaction effect on rice yield potential and present a unique challenge to adapting rice to projected future climates. Understanding how the differences in response to these two abiotic variables are partitioned across rice germplasm accessions may be key to identifying potentially useful sources of resilient alleles for adapting rice to climate change. In this study, we evaluated eleven globally diverse rice accessions under controlled conditions at two carbon dioxide concentrations (400 and 600ppm) and four temperature environments (29 degrees C day/21 degrees C night; 29 degrees C day/21 degrees C night with additional heat stress at anthesis; 34 degrees C day/26 degrees C night; and 34 degrees C day/26 degrees C night with additional heat stress at anthesis) for a suite of traits including five yield components, five growth characteristics, one phenological trait, and four photosynthesis-related measurements. Multivariate analyses of mean trait data from these eight treatments divide our rice panel into two primary groups consistent with the genetic classification of INDICA/INDICA-like and JAPONICA populations. Overall, we find that the productivity of plants grown under elevated [CO2] was more sensitive (negative response) to high temperature stress compared with that of plants grown under ambient [CO2] across this diversity panel. We report differential response to CO2 x temperature interaction for INDICA/INDICA-like and JAPONICA rice accessions and find preliminary evidence for the beneficial introduction of exotic alleles into cultivated rice genomic background. Overall, these results support the idea of using wild or currently unadapted gene pools in rice to enhance breeding efforts to secure future climate change adaptation.
机译:高CO 2和高温对水稻的产量潜力具有拮抗作用,并且对使水稻适应未来的预计气候提出了独特的挑战。了解如何对这两个非生物变量的差异如何在水稻种质资源之间进行划分可能是确定潜在有用的弹性等位基因来源以使水稻适应气候变化的关键。在这项研究中,我们评估了在受控条件下在两种二氧化碳浓度(400和600ppm)和四种温度环境下(29摄氏度/ 21摄氏度/夜; 29摄氏度/ 21摄氏度/夜晚)在控制条件下的11种全球水稻品种。花期的热应激; 34°C的白天/ 26°C的夜晚;和34°C的白天/ 26°C的夜晚,在花粉上有额外的热应激),一组性状包括五个产量构成要素,五个生长特征,一个物候性状,和四个与光合作用有关的测量。来自这八种处理方法的平均性状数据的多变量分析将我们的稻作小组分为与INDICA / INDICA-like和JAPONICA种群的遗传分类一致的两个主​​要组。总体而言,我们发现,在这种多样性面板上,与在环境[CO2]下生长的植物相比,在[CO2]升高下生长的植物的生产率对高温胁迫更为敏感(负响应)。我们报告了INDICA / INDICA样和JAPONICA水稻对CO2 x温度相互作用的差异响应,并找到了将异源等位基因有益地引入栽培水稻基因组背景的初步证据。总体而言,这些结果支持了在水稻中使用野生或当前未适应的基因库来增强育种努力以确保未来适应气候变化的想法。

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