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大规模干旱特征描述:应用于澳大利亚小麦带的大陆范围建模方法——时空趋势。

Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt--spatial and temporal trends.

机构信息

The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), 203 Tor Street, Toowoomba, Queensland, 4350, Australia.

Agri-Science Queensland, DAFF, QPI&F, APSRU, 203 Tor Street, Toowoomba, Queensland, 4350, Australia.

出版信息

New Phytol. 2013 May;198(3):801-820. doi: 10.1111/nph.12192. Epub 2013 Feb 21.

Abstract

Plant response to drought is complex, so that traits adapted to a specific drought type can confer disadvantage in another drought type. Understanding which type(s) of drought to target is of prime importance for crop improvement. Modelling was used to quantify seasonal drought patterns for a check variety across the Australian wheatbelt, using 123 yr of weather data for representative locations and managements. Two other genotypes were used to simulate the impact of maturity on drought pattern. Four major environment types summarized the variability in drought pattern over time and space. Severe stress beginning before flowering was common (44% of occurrences), with (24%) or without (20%) relief during grain filling. High variability occurred from year to year, differing with geographical region. With few exceptions, all four environment types occurred in most seasons, for each location, management system and genotype. Applications of such environment characterization are proposed to assist breeding and research to focus on germplasm, traits and genes of interest for target environments. The method was applied at a continental scale to highly variable environments and could be extended to other crops, to other drought-prone regions around the world, and to quantify potential changes in drought patterns under future climates.

摘要

植物对干旱的反应是复杂的,因此适应特定干旱类型的特征可能在另一种干旱类型中处于劣势。了解要针对的是哪种(或哪些)类型的干旱对于作物改良至关重要。本研究使用 123 年的天气数据,针对代表地点和管理方式的检查品种,通过建模来量化澳大利亚小麦带的季节性干旱模式。另外两个基因型用于模拟成熟度对干旱模式的影响。四种主要环境类型总结了随时间和空间变化的干旱模式的可变性。在开花前就开始的严重胁迫很常见(占 44%),在灌浆期有(24%)或没有(20%)缓解。每年的变化都很大,因地理位置而异。除了少数例外,所有四种环境类型在大多数季节都会出现在每个地点、管理系统和基因型中。提出了这种环境特征的应用,以协助育种和研究集中在目标环境中感兴趣的种质、特征和基因上。该方法在高度可变的环境中进行了大陆尺度的应用,并且可以扩展到其他作物、世界各地其他易受干旱影响的地区,以及量化未来气候下干旱模式的潜在变化。

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