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在表型分析平台上对数千株植物的入射光、光截获和辐射利用效率进行高通量估算。

High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform.

作者信息

Cabrera-Bosquet Llorenç, Fournier Christian, Brichet Nicolas, Welcker Claude, Suard Benoît, Tardieu François

机构信息

UMR LEPSE, INRA, Montpellier SupAgro, F-34060, Montpellier, France.

出版信息

New Phytol. 2016 Oct;212(1):269-81. doi: 10.1111/nph.14027. Epub 2016 Jun 3.

DOI:10.1111/nph.14027
PMID:27258481
Abstract

Light interception and radiation-use efficiency (RUE) are essential components of plant performance. Their genetic dissections require novel high-throughput phenotyping methods. We have developed a suite of methods to evaluate the spatial distribution of incident light, as experienced by hundreds of plants in a glasshouse, by simulating sunbeam trajectories through glasshouse structures every day of the year; the amount of light intercepted by maize (Zea mays) plants via a functional-structural model using three-dimensional (3D) reconstructions of each plant placed in a virtual scene reproducing the canopy in the glasshouse; and RUE, as the ratio of plant biomass to intercepted light. The spatial variation of direct and diffuse incident light in the glasshouse (up to 24%) was correctly predicted at the single-plant scale. Light interception largely varied between maize lines that differed in leaf angles (nearly stable between experiments) and area (highly variable between experiments). Estimated RUEs varied between maize lines, but were similar in two experiments with contrasting incident light. They closely correlated with measured gas exchanges. The methods proposed here identified reproducible traits that might be used in further field studies, thereby opening up the way for large-scale genetic analyses of the components of plant performance.

摘要

光截获和辐射利用效率(RUE)是植物生长性能的重要组成部分。对它们进行遗传解析需要新颖的高通量表型分析方法。我们开发了一套方法,通过模拟一年中每天阳光透过温室结构的轨迹,来评估温室中数百株植物所经历的入射光的空间分布;利用功能结构模型,通过对放置在虚拟场景中再现温室冠层的每株植物进行三维(3D)重建,来计算玉米(Zea mays)植株截获的光量;以及将RUE作为植物生物量与截获光量之比来计算。在单株尺度上,正确预测了温室内直射光和漫射光的空间变化(高达24%)。叶片角度不同(实验间几乎稳定)和叶面积不同(实验间变化很大)的玉米品系之间,光截获量差异很大。估算的RUE在玉米品系间有所不同,但在两个入射光条件相反的实验中相似。它们与实测的气体交换密切相关。本文提出的方法识别出了可重复的性状,这些性状可用于进一步的田间研究,从而为大规模分析植物生长性能的组成部分开辟了道路。

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