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| 001 | 280603 | ||
| 005 | 20210129221350.0 | ||
| 037 | _ | _ | |a FZJ-2016-00371 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Jahnke, Siegfried |0 P:(DE-Juel1)129336 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a EPPN Plant Phenotyping Symposium |c Barcelona |d 2015-11-11 - 2015-11-12 |w Spain |
| 245 | _ | _ | |a phenoSeeder – A robot system for phenotyping and handling of individual seeds |
| 260 | _ | _ | |c 2015 |
| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1452756815_10297 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a The phenoSeeder system is based on a pick-and-place robot to analyze and handle individual seeds of very different sizes from Arabidopsis to maize. By default, morphometric traits are monitored at 3 different sensor stations. (1) At a 2D-imaging station seeds are disseminated on a glass plate where they are selected according to user-defined selection criteria. A selected seed gets an ID and its traits (projected area, length, width, color distribution) are measured. (2) It is then picked up and conveyed to a 3D-imaging station where a series of images are taken from different angles and a surface reconstruction procedure delivers 3D information (volume, length, width, height, etc.). (3) The seed is then carried to a balance to get the actual weight which, divided by the measured volume, provides seed density. Finally, the seed is directly planted into substrate, sorted into storage containments according to user-defined classification criteria, or individually stored in a multi-well plate. This cycle is repeated for each single seed. All obtained seed data including the current position of a seed are stored in a database which also delivers the parameters needed for the workflow of the system. We want to systematically study how the different seed traits correlate and which seed traits are important for a developing plant of various species or genotypes under optimal or adverse environmental conditions. The main objective of the phenoSeeder approach is thus seed-to-plant tracking which includes monitoring seed germination and measurement of plant growth at early developmental stages and beyond. The modular implementation of the phenoSeeder system allows for easy integration of additional sensors enabling measurement of additional parameters of individual seeds, beside the morphometric traits described above. Modalities we plan to integrate are near infra-red (NIR) providing information about seed content, nuclear magnetic resonance (NMR) delivering water content or biomass, or X-ray CT for imaging internal seed structures allowing to extract e.g. embryo or endosperm size. Due to the versatile design of the phenoSeeder it can contribute to different applications including better seed characterization and improvement of seed quality for breeding. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) |0 G:(DE-Juel1)BMBF-031A053A |c BMBF-031A053A |f Deutsches Pflanzen Phänotypisierungsnetzwerk |x 1 |
| 650 | 2 | 7 | |a Biology |0 V:(DE-MLZ)SciArea-160 |2 V:(DE-HGF) |x 0 |
| 650 | 1 | 7 | |a Key Technologies |0 V:(DE-MLZ)GC-150-1 |2 V:(DE-HGF) |x 0 |
| 700 | 1 | _ | |a Roussel, Johanna |0 P:(DE-Juel1)129392 |b 1 |u fzj |
| 700 | 1 | _ | |a Hombach, Thomas |0 P:(DE-Juel1)129332 |b 2 |u fzj |
| 700 | 1 | _ | |a Fischbach, Andreas |0 P:(DE-Juel1)129315 |b 3 |u fzj |
| 700 | 1 | _ | |a Kochs, Johannes |0 P:(DE-Juel1)129346 |b 4 |u fzj |
| 700 | 1 | _ | |a Huber, Gregor |0 P:(DE-Juel1)129333 |b 5 |u fzj |
| 700 | 1 | _ | |a Scharr, Hanno |0 P:(DE-Juel1)129394 |b 6 |u fzj |
| 856 | 4 | _ | |u http://www.plant-phenotyping.org/Home_EPPN_Symposium |
| 909 | C | O | |o oai:juser.fz-juelich.de:280603 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)129336 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)129392 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129332 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129315 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)129346 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)129333 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)129394 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2015 |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-2-20101118 |k IBG-2 |l Pflanzenwissenschaften |x 0 |
| 980 | _ | _ | |a poster |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
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