% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Rascher:17624,
author = {Rascher, U. and Blossfeld, S. and Fiorani, F. and Jahnke,
S. and Jansen, M. and Kuhn, A.J. and Matsubara, S. and
Märtin, L.L.A. and Merchant, A. and Metzner, R. and
Müller-Linow, M. and Nagel, K.A. and Pieruschka, R. and
Pinto, F. and Schreiber, C.M. and Temperton, V.M. and
Thorpe, M.R. and Van Dusschoten, D. and Van Volkenburgh, E.
and Windt, C.W. and Schurr, U.},
title = {{N}on-invasive approaches for phenotyping of enhanced
performance traits in bean},
journal = {Functional plant biology},
volume = {38},
issn = {1445-4408},
address = {Collingwood, Victoria},
publisher = {CSIRO Publ.},
reportid = {PreJuSER-17624},
pages = {968 - 983},
year = {2011},
note = {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.},
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.},
keywords = {J (WoSType)},
cin = {IBG-2},
ddc = {580},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Plant Sciences},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000297556100006},
doi = {10.1071/FP11164},
url = {https://juser.fz-juelich.de/record/17624},
}