Title |
Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture
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Published in |
Plant Methods, April 2014
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DOI | 10.1186/1746-4811-10-9 |
Pubmed ID | |
Authors |
Dimitrios Fanourakis, Christoph Briese, Johannes FJ Max, Silke Kleinen, Alexander Putz, Fabio Fiorani, Andreas Ulbrich, Ulrich Schurr |
Abstract |
Light curtain arrays (LC), a recently introduced phenotyping method, yield a binary data matrix from which a shoot silhouette is reconstructed. We addressed the accuracy and applicability of LC in assessing leaf area and maximum height (base to the highest leaf tip) in a phenotyping platform. LC were integrated to an automated routine for positioning, allowing in situ measurements. Two dicotyledonous (rapeseed, tomato) and two monocotyledonous (maize, barley) species with contrasting shoot architecture were investigated. To evaluate if averaging multiple view angles helps in resolving self-overlaps, we acquired a data set by rotating plants every 10° for 170°. To test how rapid these measurements can be without loss of information, we evaluated nine scanning speeds. Leaf area of overlapping plants was also estimated to assess the possibility to scale this method for plant stands. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 67% |
Germany | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Belgium | 2 | 2% |
Japan | 1 | 1% |
Germany | 1 | 1% |
France | 1 | 1% |
Unknown | 91 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 27 | 28% |
Student > Ph. D. Student | 21 | 22% |
Student > Master | 13 | 14% |
Student > Bachelor | 8 | 8% |
Student > Postgraduate | 5 | 5% |
Other | 8 | 8% |
Unknown | 14 | 15% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 49 | 51% |
Engineering | 9 | 9% |
Environmental Science | 6 | 6% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Computer Science | 3 | 3% |
Other | 5 | 5% |
Unknown | 20 | 21% |