Non-invasive approaches for phenotyping of enhanced performance traits in bean
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In: Functional Plant Biology, Vol. 38, No. 12, 2011, p. 968-983.
Research output: Journal contributions › Journal articles › Research › peer-review
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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 -