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https://hdl.handle.net/2440/76080
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dc.contributor.author | Berger, B. | - |
dc.contributor.author | de Regt, S. | - |
dc.contributor.author | Tester, M. | - |
dc.contributor.editor | Normanly, J. | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | High-Throughput Phenotyping in Plants: Methods and Protocols, 2012 / Normanly, J. (ed./s), vol.918, pp.9-20 | - |
dc.identifier.isbn | 1617799947 | - |
dc.identifier.isbn | 9781617799945 | - |
dc.identifier.uri | http://hdl.handle.net/2440/76080 | - |
dc.description.abstract | Advances in automated plant handling and image acquisition now make it possible to use digital imaging for the high-throughput phenotyping of plants. Various traits can be extracted from individual images. However, the potential of this technology lies in the acquisition of time series. Since whole shoot imaging is nondestructive, plants can now be monitored throughout their lifecycle, and dynamic traits such as plant growth and development can be captured and quantified. The technique is applicable to a wide range of plants and research areas and makes high-throughput screens possible, reducing the time and labor needed for the phenotypic characterization of plants. | - |
dc.description.statementofresponsibility | Bettina Berger, Bas de Regt and Mark Tester | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Methods in Molecular Biology; 918 | - |
dc.source.uri | http://dx.doi.org/10.1007/978-1-61779-995-2_2 | - |
dc.subject | Plant imaging | - |
dc.subject | growth analysis | - |
dc.subject | leaf area | - |
dc.subject | shoot morphology | - |
dc.title | High-throughput phenotyping of plant shoots | - |
dc.type | Book chapter | - |
dc.identifier.doi | 10.1007/978-1-61779-995-2_2 | - |
dc.publisher.place | USA | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Berger, B. [0000-0003-1195-4478] | - |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 4 |
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