TY  - JOUR
AU  - Rascher, U.
AU  - Blossfeld, S.
AU  - Fiorani, F.
AU  - Jahnke, S.
AU  - Jansen, M.
AU  - Kuhn, A.J.
AU  - Matsubara, S.
AU  - Märtin, L.L.A.
AU  - Merchant, A.
AU  - Metzner, R.
AU  - Müller-Linow, M.
AU  - Nagel, K.A.
AU  - Pieruschka, R.
AU  - Pinto, F.
AU  - Schreiber, C.M.
AU  - Temperton, V.M.
AU  - Thorpe, M.R.
AU  - Van Dusschoten, D.
AU  - Van Volkenburgh, E.
AU  - Windt, C.W.
AU  - Schurr, U.
TI  - Non-invasive approaches for phenotyping of enhanced performance traits in bean
JO  - Functional plant biology
VL  - 38
SN  - 1445-4408
CY  - Collingwood, Victoria
PB  - CSIRO Publ.
M1  - PreJuSER-17624
SP  - 968 - 983
PY  - 2011
N1  - This work has been made possible by the funding support of the BMBF Network CropSense and the DAAD fellowship to Francisco Pinto. Measurements of Fig. 2 (Soy-FACE) were supported by the Illinois Council for Food and Agricultural Research, the U.S. Department of Agricultural, and the Illinois Agricultural Experiment Station. The authors also greatly thank Bernd Kastenholz for cultivation of bean plants on agar for root system analysis; Jonas Buhler for developing the quantification algorithm of the data shown in Fig. 7 and Lena Meck for editing the manuscript.
AB  - 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.
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000297556100006
DO  - DOI:10.1071/FP11164
UR  - https://juser.fz-juelich.de/record/17624
ER  -