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用于菜豆增强性能性状表型分析的非侵入性方法。

Non-invasive approaches for phenotyping of enhanced performance traits in bean.

作者信息

Rascher Uwe, Blossfeld Stephan, Fiorani Fabio, Jahnke Siegfried, Jansen Marcus, Kuhn Arnd J, Matsubara Shizue, M Rtin Lea L A, Merchant Andrew, Metzner Ralf, M Ller-Linow Mark, Nagel Kerstin A, Pieruschka Roland, Pinto Francisco, Schreiber Christina M, Temperton Vicky M, Thorpe Michael R, Dusschoten Dagmar Van, Van Volkenburgh Elizabeth, Windt Carel W, Schurr Ulrich

出版信息

Funct Plant Biol. 2011 Dec;38(12):968-983. doi: 10.1071/FP11164.

Abstract

Plant phenotyping is an emerging discipline in plant biology. Quantitative measurements of functional and structural traits help to better understand gene-environment interactions and support breeding for improved resource use efficiency of important crops such as bean (Phaseolus vulgaris L.). Here we provide an overview of state-of-the-art phenotyping approaches addressing three aspects of resource use efficiency in plants: belowground roots, aboveground shoots and transport/allocation processes. We demonstrate the capacity of high-precision methods to measure plant function or structural traits non-invasively, stating examples wherever possible. Ideally, high-precision methods are complemented by fast and high-throughput technologies. High-throughput phenotyping can be applied in the laboratory using automated data acquisition, as well as in the field, where imaging spectroscopy opens a new path to understand plant function non-invasively. For example, we demonstrate how magnetic resonance imaging (MRI) can resolve root structure and separate root systems under resource competition, how automated fluorescence imaging (PAM fluorometry) in combination with automated shape detection allows for high-throughput screening of photosynthetic traits and how imaging spectrometers can be used to quantify pigment concentration, sun-induced fluorescence and potentially photosynthetic quantum yield. We propose that these phenotyping techniques, combined with mechanistic knowledge on plant structure-function relationships, will open new research directions in whole-plant ecophysiology and may assist breeding for varieties with enhanced resource use efficiency varieties.

摘要

植物表型分析是植物生物学中一门新兴学科。对功能和结构性状进行定量测量有助于更好地理解基因与环境的相互作用,并支持重要作物(如菜豆(Phaseolus vulgaris L.))的育种工作,以提高资源利用效率。在此,我们概述了针对植物资源利用效率三个方面的先进表型分析方法:地下根系、地上茎枝以及运输/分配过程。我们展示了高精度方法以非侵入性方式测量植物功能或结构性状的能力,并尽可能列举了实例。理想情况下,高精度方法辅以快速且高通量的技术。高通量表型分析可在实验室通过自动数据采集来应用,也可在田间应用,其中成像光谱技术为非侵入性理解植物功能开辟了一条新途径。例如,我们展示了磁共振成像(MRI)如何解析根系结构并在资源竞争条件下分离根系,自动荧光成像(脉冲幅度调制荧光测定法)与自动形状检测相结合如何实现对光合性状的高通量筛选,以及成像光谱仪如何用于量化色素浓度、太阳诱导荧光以及潜在的光合量子产率。我们认为,这些表型分析技术与植物结构 - 功能关系的机理知识相结合,将为全株植物生态生理学开辟新的研究方向,并可能有助于培育资源利用效率更高的品种。

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