TY - JOUR

T1 - Non-invasive approaches for phenotyping of enhanced performance traits in bean

AU - Rascher, Uwe

AU - Blossfeld, Stephan

AU - Fiorani, Fabio

AU - Jahnke, Siegfried

AU - Jansen, Marcus

AU - Kuhn, Arnd J.

AU - Matsubara, Shizue

AU - Märtin, Lea L A

AU - Merchant, Andrew

AU - Metzner, Ralf

AU - Müller-Linow, Mark

AU - Nagel, Kerstin A.

AU - Pieruschka, Roland

AU - Pinto, Francisco

AU - Schreiber, Christina M.

AU - Temperton, Victoria Martine

AU - Thorpe, Michael R.

AU - Van Dusschoten, Dagmar

AU - Van Volkenburgh, Elizabeth

AU - Windt, Carel W.

AU - Schurr, Ulrich

PY - 2011

Y1 - 2011

N2 - Plant phenotyping is an emerging discipline in plant biology. Quantitative measurements of functional and structural traits help to better understand geneenvironment 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 structurefunction relationships, will open new research directions in whole-plant ecophysiology and may assist breeding for varieties with enhanced resource use efficiency varieties.

AB - Plant phenotyping is an emerging discipline in plant biology. Quantitative measurements of functional and structural traits help to better understand geneenvironment 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 structurefunction relationships, will open new research directions in whole-plant ecophysiology and may assist breeding for varieties with enhanced resource use efficiency varieties.

KW - fluorescence

KW - imaging spectroscopy

KW - non-invasive

KW - resource use efficiency

KW - Biology

KW - Ecosystems Research

KW - Sustainability Science

UR - http://www.scopus.com/inward/record.url?scp=82955239984&partnerID=8YFLogxK

U2 - 10.1071/FP11164

DO - 10.1071/FP11164

M3 - Journal articles

AN - SCOPUS:82955239984

VL - 38

SP - 968

EP - 983

JO - Functional Plant Biology

JF - Functional Plant Biology

SN - 1445-4408

IS - 12

ER -