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Phenotyping roots in darkness: disturbance-free root imaging with near infrared illumination

机译:黑暗中的表型根:无扰动根成像与近红外照明

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摘要

Root systems architecture (RSA) and size properties are essential determinants of plant performance and need to be assessed in high-throughput plant phenotyping platforms. Thus, we tested a concept that involves near-infrared (NIR) imaging of roots growing along surfaces of transparent culture vessels using special long pass filters to block their exposure to visible light. Two setups were used to monitor growth of Arabidopsis, rapeseed, barley and maize roots upon exposure to white light, filter-transmitted radiation or darkness: root growth direction was analysed (1) through short-term cultivation on agar plates, and (2) using soil-filled transparent pots to monitor long-term responses. White light-triggered phototropic responses were detected for Arabidopsis in setup 1, and for rapeseed, barley and maize roots in setups 1 and 2, whereas light effects could be avoided by use of the NIR filter thus confirming its suitability to mimic darkness. NIR image-derived 'root volume' values correlated well with root dry weight. The root system fractions visible at the different pot sides and in different zones revealed species-and genotype-dependent variation of spatial root distribution and other RSA traits. Following this validated concept, root imaging setups may be integrated into shoot phenotyping facilities in order to enable root system analysis in the context of whole-plant performance investigations.
机译:根系结构(RSA)和尺寸属性是植物性能的基本决定因素,需要在高通量植物表型平台中进行评估。因此,我们测试了一种涉及近红外(NIR)成像的概念,这些概念沿着使用特殊的长通滤波器沿着透明培养皿的表面生长,以阻止其暴露于可见光。在接触白光时,使用两种设置来监测拟南芥,油菜籽,大麦和玉米根部的生长:通过琼脂平板上的短期培养来分析(1)根生长方向(1),(2)使用土填充透明罐来监测长期反应。在设置1的拟南芥中检测到白色光触发的光学反应,以及设置的油菜籽,大麦和玉米根,而通过使用NIR过滤器可以避免光效,因此确认其适用于模拟黑暗。 NIR图像衍生的“根卷”值与根干重相处均匀。在不同锅侧和不同区域处可见的根系馏分揭示了空间根部分布和其他RSA特征的物种和基因型依赖性变化。在此经过验证的概念之后,可以将根成像设置集成到拍摄表型化设施中,以便在全工厂性能调查的背景下启用根系系统分析。

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