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005     20210129224433.0
037 _ _ |a FZJ-2016-05570
041 _ _ |a English
100 1 _ |a Müller-Linow, Mark
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111 2 _ |a III International Symposium on Horticulture in Europe
|g SHE 2016
|c Chania
|d 2016-10-17 - 2016-10-21
|w Greece
245 _ _ |a Phenotyping methods for horticultural crops: opportunities and challenges
260 _ _ |c 2016
336 7 _ |a Conference Paper
|0 33
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520 _ _ |a Imaging methods are becoming increasingly important in plant phenotyping, namely for the quantification of traits, which characterize plant architecture and the structure of plant organs. In recent years a series of methodological approaches were introduced to plant sciences most of them used in industrial processes with a high application potential in quantitative plant phenotyping as well as for breeding and plant growing tasks. To date, the applicability is still limited to a few agricultural crops, but the diversity of important structural traits in horticultural breeding gives new opportunities to fully exploit the potential of these methods.At the Institute of Plant Sciences (IBG-2 FZ Juelich, Germany), we focus on the implementation of new sensor technologies as well as on the development of low-cost platforms for quantitative phenotyping of root and shoot properties. Camera-based approaches play a key role and here we developed a multi-camera approach for the use open field cultivations to analyze leaf area and leaf angle distributions of small sugar beet cultivations (Mueller-Linow et al. Plant Methods 2015). This method has been refined and technically improved for greenhouse tomato cultivations and resulted in new prototype and software developments with the capability to estimate various shoot and fruit traits related to color and shape. Root properties of horticultural plants were addressed in two projects, one which uses MRI technologies to resolve and quantify the root structure of petunia after drought and one which analyzes root images of different grapevine cultivars grown in the GROWSCREEN-Rhizo phenotyping research facility at IBG-2.
536 _ _ |a 582 - Plant Science (POF3-582)
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536 _ _ |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)
|0 G:(DE-Juel1)BMBF-031A053A
|c BMBF-031A053A
|f Deutsches Pflanzen Phänotypisierungsnetzwerk
|x 1
700 1 _ |a Junker, Laura
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700 1 _ |a Wiese-Klinkenberg, Anika
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700 1 _ |a Rascher, Uwe
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700 1 _ |a Fiorani, Fabio
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910 1 _ |a Forschungszentrum Jülich
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914 1 _ |y 2016
915 _ _ |a No Authors Fulltext
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920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
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