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干旱盒:一种新的工具,用于表型学研究干旱过程中剩余分支导水率及其对温度的依赖性。

The DroughtBox: A new tool for phenotyping residual branch conductance and its temperature dependence during drought.

机构信息

Université Clermont-Auvergne, INRAE, PIAF, Clermont-Ferrand, France.

出版信息

Plant Cell Environ. 2020 Jun;43(6):1584-1594. doi: 10.1111/pce.13750. Epub 2020 Mar 18.

Abstract

Xylem hydraulic failure is a major driver of tree death during drought. However, to better understand mortality risk in trees, especially during hot-drought events, more information is required on both rates of residual water-loss from small branches (g ) after stomatal closure, as well as the phase transition temperature (T ), beyond which g significantly increases. Here, we describe and test a novel low-cost tool, the DroughtBox, for phenotyping g and T across species. The system consists of a programmable climatically controlled chamber in which branches dehydrate and changes in the mass recorded. Test measurements show that the DroughtBox maintains stable temperature and relative humidity across a range of set points, a prerequisite for getting accurate g and T values. Among a study group of four conifer and one angiosperm species, we observed a range of g (0.44-1.64 mmol H O m s ) and T (39.4-43.8°C) values. Furthermore, the measured time to hydraulic failure varied between two conifers species and was shortened in both species following a heatwave event. The DroughtBox is a reliable and customizable tool for phenotyping g and T , as well as for testing models of time to hydraulic failure that will improve our ability to assess climate change impacts on plants.

摘要

木质部水力失败是干旱期间树木死亡的主要驱动因素。然而,为了更好地了解树木,特别是在炎热干旱事件期间的死亡风险,需要更多关于气孔关闭后小树枝(g)剩余水分损失率以及相变温度(T)的信息,超出这个温度,g 会显著增加。在这里,我们描述并测试了一种新的低成本工具——DroughtBox,用于跨物种表型 g 和 T。该系统由一个可编程气候控制室组成,在其中分支会脱水,并且记录质量变化。测试测量表明,DroughtBox 在一系列设定点范围内保持稳定的温度和相对湿度,这是获得准确 g 和 T 值的前提。在一组包括四种针叶树和一种被子植物的研究中,我们观察到 g(0.44-1.64 mmol H2O m s)和 T(39.4-43.8°C)值的范围。此外,在两个针叶树种之间观察到水力失败的测量时间有所不同,并且在热波事件后,这两个物种的水力失败时间都缩短了。DroughtBox 是一种可靠且可定制的工具,可用于表型 g 和 T,以及测试水力失败时间模型,这将提高我们评估气候变化对植物影响的能力。

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