2019
Albrecht H., Fiorani F., Pieruschka R., Mueller-Linow M., Jedmowski C., Schreiber L., Schurr U., Rascher U. (2019) Quantitative Estimation of Leaf Heat Transfer Coefficients by Active Thermography at Varying Boundary Layer Conditions. doi: https://doi.org/10.3389/fpls.2019.01684
Wasson A.P., Nagel K.A., Tracy S., Watt M. (2019) Beyond digging: Noninvasive Root and Rhizosphere Phenotyping. Trends in Plant Science. doi: https://doi.org/10.1016/j.tplants.2019.10.011
Bolger AM, Poorter H, Dumschott K, Bolger ME, Arend D, Osorio S, Gundlach H, Mayer KF, Lange M, Scholz U, Usadel B (2019) Computational aspects underlying genome to phenome analysis in plants. Plant J. doi: 10.1111/tpj.14179.
Schwacke R, Ponce-Soto GY, Krause K, Bolger AM, Arsova B, Hallab A, Gruden K, Stitt M, Bolger ME, Usadel B (2019) MapMan4: a refined protein classification and annotation framework applicable to multi-omics data analysis. Molecular Plant 12: 879-892
Hecht V.L., Temperton V. M., Nagel K.A., Rascher U., Pude R., Postma J.A. (2019) Plant density modifies root system architecture in spring barley (Hordeum vulgare L.) through a change in nodal root number. Plant and Soil,439, 179-200. doi: 10.1007/s11104-018-3764-9.
Belachew K.Y., Nagel K.A., Poorter H., Stoddard F.L. (2019) Association of Shoot and Root Responses to Water Deficit in Young Faba Bean (Vicia faba L.) Plants. Front. Plant Sci. 10:1063.doi: 10.3389/fpls.2019.01063.
Müller-Linow, M. ; Wilhelm, J. ; Briese, C. ; Wojciechowski, T. ; Schurr, U. ; Fiorani, F. Plant Screen Mobile: an open-source mobile device app for plant trait analysis. Plant methods 15(1), 2 (2019) [10.1186/s13007-019-0386-z]
Grimm E, Hahn J, Pflugfelder D, Schmidt MJ, van Dusschoten D, Knoche M. 2019.Localized bursting of mesocarp cells triggers catastrophic fruit cracking. Horticulture Research 6(1): 79.
Henke M, Junker A, Neumann K, Altmann T, Gladilin E: Comparison of feature point detectors for multimodal image registration in plant phenotyping. PLoS One 14 (2019) e0221203. dx.doi.org/10.1371/journal.pone.0221203
Henke M, Junker A, Neumann K, Altmann T, Gladilin E: Comparison and extension of three methods for automated registration of multimodal plant images. Plant Methods 15 (2019) 44. dx.doi.org/10.1186/s13007-019-0426-8
Keller B.G., Vass I., Matsubara S., Paul K., Jedmowski C., Pieruschka R., Rascher U. & Muller O. (2019) Maximum fluorescence and electron transport kinetics determined by light induced fluorescence transients (LIFT) for photosynthesis phenotyping. Photosynthesis Research, 140, 221-233, doi: 0.1007/s11120-018-0594-9.
Wilke N., Siegmann B., Klingbeil L., Burkart A., Kraska T., Muller O., van Doorn A., Heinemann S. & Rascher U. (2019) Quantifying lodging percentage and lodging severity using an UAV based canopy height model combined with an objective threshold approach. Remote Sensing, 11, article no. 515, doi: 10.3390/rs11050515.
Mahlein A.-K., Kuska T.M., Thomas S., Wahabzada M., Behmann J., Rascher U. & Kersting K. (2019) Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed! Current Opinion in Plant Biology, 50,156-162, doi: 10.1016/j.pbi.2019.06.007.
Lenk, M., Wenig, M., Bauer, K., Hug, F., Knappe, C., Lange, B., Timsy, Häußler, F., Mengel, F., Dey, S., Schäffner, A., and Vlot, A.C. 2019. Pipecolic acid is induced in barley upon infection and triggers immune responses associated with elevated nitric oxide accumulation. Mol. Plant-Microbe Interact. DOI:10.1094/MPMI-01-19-0013-R
Georgii E, Kugler K, Pfeifer M, Vanzo E, Block K, Domagalska MA, Jud W, AbdElgawad H, Asard H, Reinhardt R, Hansel A, Spannagl M, Schäffner AR, Palme K, Mayer KFX, Schnitzler JP. The Systems Architecture of Molecular Memory in Poplar after Abiotic Stress. Plant Cell. 2019 Feb;31(2):346-367. doi:10.1105/tpc.18.00431
http://www.plantcell.org/content/early/2019/01/31/tpc.18.00431
Narisetti N, Henke M, Seiler C, Shi R, Junker A, Altmann T, Gladilin E: Semi-automated Root Image Analysis (saRIA). Sci. Rep. 9 (2019) 19674. dx.doi.org/10.1038/s41598-019-55876-3
2018
Nabel M., Schrey S.D., Poorter H., Koller R., Nagel K.A., Temperton V.TM., Dietrich C.C., Briese C., Jablonowski N.D. (2018) Coming late for dinner: Localized digestate depot fertilization for extensive cultivation of marginal soil with Sida hermaphrodita. Frontiers in Plant Sciences,9, 1095. doi: 10.3389/fpls.2018.01095.
Henke M, Junker A, Neumann K, Altmann T, Gladilin E: Automated alignment of multi-modal plant images using integrative phase correlation approach. Front. Plant Sci. 9 (2018) 1519. dx.doi.org/10.3389/fpls.2018.01519
Pommerrenig B, Junker A, Abreu I, Bieber A, Fuge J, Willner E, Bienert M D, Altmann T, Bienert G P: Identification of rapeseed (Brassica napus) cultivars with a high tolerance to boron-deficient conditions. Front. Plant Sci. 9 (2018) 1142. dx.doi.org/10.3389/fpls.2018.01142
Bühler J, von Lieres E, Huber GJ. 2018.Model-Based Design of Long-Distance Tracer Transport Experiments in Plants. Frontiers in Plant Science 9: 773.
Shi R, Junker A, Seiler C, Altmann T: Phenotyping roots in darkness: disturbance-free root imaging with near infrared illumination. Funct. Plant Biol. 45 (2018) 400-411. doi.org/10.1071/FP17262
Behmann J., Acebron K., Emin D., Bennertz S., Matsubara S., Thomas S., Bohnenkamp D., Kuska M.T., Jussila J., Salo H., Mahlein A.-K. & Rascher U. (2018) Specim IQ: Evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping. Sensors, 18, article no. 441, doi: 10.3390/s18020441.
Burkart A., Hecht V.L., Kraska T. & Rascher U. (2018) Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution. Precision Agriculture, 19, 134-146; doi: 10.1007/s11119-017-9504-y.
Chen D, Shi R, Pape J-M, Neumann K, Arend D, Graner A, Chen M, Klukas C: Predicting plant biomass accumulation from image-derived parameters. GigaScience 7 (2018) 1-13. dx.doi.org/10.1093/gigascience/giy001
Thomas S., Behmann J., Steier A., Kraska T., Muller O., Rascher U. & Mahlein A.K. (2018) Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform. Plant Methods, 14, article no. 8, doi: 10.1186/s13007-018-0313-8
Murchie E., Kefauver S., Araus Ortega J.L., Muller O., Rascher U., Flood P. & Lawson T. (2018) Measuring the dynamic photosynthome. Annals of Botany, 122, 207-220, doi: 10.1093/aob/mcy087.
Lenk, M., Wenig, M., Mengel, F., Häußler, F., Vlot, A., Lenk, M., Wenig, M., Mengel, F., Häußler, F., and Vlot, A. C. 2018. Arabidopsis thaliana Immunity-Related Compounds Modulate Disease Susceptibility in Barley. Agronomy. 8:142
Mayer D, Mithöfer A, Glawischnig E, Georgii E, Ghirardo A, Kanawati B, Schmitt-Kopplin P, Schnitzler JP, Durner J, Gaupels F. (2018) Short-term exposure to nitrogen dioxide provides basal pathogen resistance. Plant Physiology 178:468-487.
Maximum fluorescence and electron transport kinetics determined by light-induced fluorescence transients (LIFT) for photosynthesis phenotyping. DOI: 10.1007/s11120-018-0594-9
Miriam Lenk, Marion Wenig, Felicitas Mengel, Finni Häußler, and A. Corina Vlot (2018) Arabidopsis thaliana immunity-related compounds modulate disease susceptibility in barley
Jud W, Winkler JB, Niederbacher B, Niederbacher S, Schnitzler JP (2018) Volatilomics – a non-invasive technique for screening plant traits. Plant Methods
2017
|
Pflugfelder D, Metzner R, van Dusschoten D, Reichel R, Jahnke S, Koller R. 2017.Non-invasive imaging of plant roots in different soils using magnetic resonance imaging (MRI). Plant Methods 13(1): 102. Albrecht H., Fiorani F., Pieruschka R., Müller-Linow M., Schreiber L., Schurr U. & Rascher U. Quantitative estimation of leaf heat transfer coefficients by active thermography at varying boundary layer conditions. Frontiers in Plant Biology, submitted 11. Oct 2017. |
|
Bolger, M. ; Gundlach, H. ; Schmutzer, T. ; Chen, J. ; Arend, D. ; Oppermann, M. ; Weise, S. ; Lange, M. ; Fiorani, F. ; Spannagl, M. ; Scholz, U. ; Mayer, K. ; Usadel, B. ; Schwacke, R. |
|
Cendrero-Mateo M.P., Muller O., Albrecht H., Burkart A., Gatzke S., Janssen B., Keller B., Körber N., Kraska T., Matsubara S., Li J., Müller-Linow M., Pieruschka R., Pinto F., Rischbeck P., Schickling A., Steier A., Watt L.M., Schurr U. & Rascher U. (2017) Field phenotyping – concepts and examples to quantify dynamic plant traits across scales in the field. In: Terrestrial ecosystem research infrastructures: challenges, new developments and perspectives. Chabbi A., Löscher H. (eds.), CRC Press/Taylor & Francis, p 53-82 doi: 10.1201/9781315368252-4 |
|
Georgii, E. ; Jin, M. ; Zhao, J. ; Kanawati, B. ; Schmitt-Kopplin, P. ; Albert, A. ; Winkler, J.B. ; Schäffner, A. Relationships between drought, heat and air humidity responses revealed by transcriptome-metabolome co-analysis. |
|
Grimm, E. ; Pflugfelder, D. ; van Dusschoten, D. ; Winkler, A. ; Knoche, M. (Corresponding author) Physical rupture of the xylem in developing sweet cherry fruit causes progressive decline in xylem sap inflow rate |
|
Keil P, Liebsch G, Borisjuk L, Rolletschek H MultiSense: a multimodal sensor tool enabling the high throughput analysis of respiration. In: Kapuganti J G (Ed.): Plant respiration and internal oxygen. Methods and protocols. (Series: Methods in molecular biology, Vol. 1670) New York, NY [u.a.]: Humana Press (2017) 47-56. dx.doi.org/10.1007/978-1-4939-7292-0_5 ISBN 978-1-4939-7291-3 |
|
Mengel, A. ; Ageeva, A. ; Georgii, E. ; Bernhardt, J.* ; Wu, K.M.* ; Durner, J. ; Lindermayr, C. Nitric oxide modulates histone acetylation at stress genes by inhibition of histone deacetylases. |
|
Muraya M M, Chu J, Zhao Y, Junker A, Klukas C, Reif J C, Altmann T: Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non-invasive phenotyping. Plant J. 89 (2017) 366–380. dx.doi.org/10.1111/tpj.13390 |
|
Murchie E., Kefauver S., Araus Ortega J.L., Muller O., Rascher U., Flood P. & Lawson T. Measuring the dynamic photosynthome. Annals of Botany, submitted 30. Oct. 2017 |
|
Pinto, F. (Corresponding author) ; Müller-Linow, M. ; Schickling, A. ; Cendrero, P. ; Ballvora, A. ; Rascher, U. (Last author) Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy |
|
Riedlmeier, M. ; Ghirardo, A. ; Wenig, M. ; Knappe, C. ; Koch, K. ; Georgii, E. ; Dey, S. ; Parker, J.E.* ; Schnitzler, J.-P. ; Vlot, A.C. Monoterpenes support systemic acquired resistance within and between plants. |
|
Tschiersch H, Junker A, Meyer R C, Altmann T Establishment of integrated protocols for automated high throughput kinetic chlorophyll fluorescence analyses. Plant Methods 13 (2017) 54. dx.doi.org/10.1186/s13007-017-0204-4 |
|
Scharr, H; Briese, C.; Embgenbroich P.; Fischbach A.; Fiorani F.; Müller-Linow, M. (2017) Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction. Frontiers in Plant Science, 8, 1680 |
|
Shi, R., Junker, A., Seiler, C. Altmann, T: (2017) Phenotyping roots in darkness: disturbance-free root imaging with near infrared illumination. Functional Plant Biology (accepted) |
|
Soleimani B, Sammler R, Backhaus A, Beschow H, Schumann E, Mock HP, von Wirén N, Seiffert U, Pillen K (2017) Genetic regulation of growth and nutrient content under phosphorous deficiency in the wild barley introgression library S42IL. Plant Breed. 136 (2017) 892-907. dx.doi.org/10.1111/pbr.12540 |
2016
|
Ageeva, A. ; Mengel, A. ; Georgii, E. ; Bernhardt, J.* ; Durner, J. ; Lindermayr, C. Effect of nitric oxide on histone acetylation in Arabidopsis thaliana. Vortrag: 6th Plant Nitric Oxide International Meeting, 14-16 September 2016, Granada, Spain. (2016) |
|
Arend D, Junker A, Scholz U, Schüler D, Wylie W, Lange M (2016) PGP repository: a plant phenomics and genomics data publication infrastructure. Database. ncbi.nlm.nih.gov/pubmed/27087305 |
|
Arend D, Lange M, Pape JM, Weigelt-Fischer K, Arana-Ceballos F, Mücke I, Klukas C, Altmann T, Scholz U, Junker A: Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping. Scientific Data. doi: 10.1038/sdata.2016.55 |
|
Cendrero-Mateo M.P., Moran M.S., Papuga S.A., Thorp K.R., Alonso L., Moreno J., Ponce-Campos G., Rascher U. & Wang G. (2016): Plant chlorophyll fluorescence: active and passive measurements at canopy and leaf scales with different nitrogen treatments. Journal of Experimental Botany, 67, 275-286 |
|
Cendrero-Mateo M.P., Muller O., Albrecht H., Burkart A., Gatzke S., Janssen B., Keller B., Körber N., Kraska T., Matsubara S., Li J., Müller-Linow M., Pieruschka R., Pinto F., Rischbeck P., Schickling A., Steier A., Watt L.M., Schurr U. & Rascher U. (2016): Field phenotyping – concepts and examples to quantify dynamic plant traits across scales in the field. In: Terrestrial ecosystem research infrastructures: challenges, new developments and perspectives. Chabbi A., Löscher H. (eds.), CRC Press/Taylor & Francis, submitted on March 15 2016. |
|
Gioia T., Galinski A., Lenz H., Müller C., Lentz J., Heinz K., Briese C., Putz A., Fiorani F., Watt M., Schurr U., Nagel K A.: GrowScreen-PaGe, a non-invasive, high-throughput phenotyping system based on germination paper to quantify crop phenotypic diversity and plasticity of root traits under varying nutrient supply. Functional Plant Biology, 2016, dx.doi.org/10.1071/FP16128 |
|
Jahnke S, Roussel J, Hombach T, Kochs J, Fischbach A, Huber G, Scharr H (2016) phenoSeeder – A robot system for automated handling and phenotyping of individual seeds. Plant Physiology, online. dx.doi.org/10.1104/pp.16.01122 |
|
Jud, W. ; Vanzo, E. ; Li, Z ; Ghirardo, A. ; Zimmer, I. ; Sharkey, T.D. ; Hansel, A. ; Schnitzler, J.-P. Effects of heat and drought stress on post illumination bursts of volatile organic compounds in isoprene emitting and non-emitting poplar. Plant Cell Environ. 39, 1204-1215 (2016) |
|
Kasten D., Mithöfer A., Georgii E., Lang H., Durner J., and Gaupels F.. Nitrite is the driver, phytohormones are modulators while NO and H2O2 act as executors of NO2-induced cell death. |
|
Munz E, Jakob P M, Borisjuk L (2016) The potential of nuclear magnetic resonance to track lipids in planta. Biochimie dx.doi.org/10.1016/j.biochi.2016.07.014 |
|
Pinto F., Damm A., Schickling A., Panigada C., Cogliati S., Müller-Linow M., Balvora A., Rascher U. (2016): Sun-induced chlorophyll fluorescence from high-resolution imaging spectroscopy data to quantify spatio-temporal patterns of photosynthetic function in crop canopies; Plant, Cell & Environment, 39(7):1500-12. doi: 10.1111/pce.12710 |
|
Roussel J, Fischbach A, Jahnke S, Scharr H (2016) Surface reconstruction of plant seeds by volume carving: performance and accuracies. Frontiers in Plant Science 7, 745. http://dx.doi.org/10.3389/fpls.2016.00745 |
|
Scharr H, Minervini M, French AP, Klukas C, Kramer D M, Liu X, Luengo I, Pape J-M, Polder G, Vukadinovic D, Yin X, Tsaftaris S A (2016) Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications 27 (2016) 585-606. dx.doi.org/10.1007/s00138-015-0737-3 |
|
Sydoruk, V.; Fiorani, F.; Jahnke, S.; Krause, H.-J. (2016): Design and Characterization of Microwave Cavity Resonators for Noninvasive Monitoring of Plant Water Distribution. IEEE transactions on microwave theory and techniques 64(99), 1 - 11 [10.1109/TMTT.2016.2594218] |
|
van Dusschoten, D. ; Metzner, R. ; Kochs, J. ; Postma, J. A. ; Pflugfelder, D. ; Bühler, J. ; Schurr, U. ; Jahnke, S. (2016): Quantitative 3D Analysis of Plant Roots growing in Soil using Magnetic Resonance Imaging. Plant physiology 170(3), 1176-1188 [10.1104/pp.15.01388] |
2015
|
Bühler J, Rishmawi L, Pflugfelder D, Huber G, Scharr S, Hülskamp M, Koorneef M, Schurr U, Jahnke S (2015) phenoVein – A tool for leaf vein segmentation and analysis. Plant Physiology 169, 2359-2370. doi: http://dx.doi.org/10.1104/pp.15.00974 |
|
Burkart A.: Phänotypisierung im Deutschen Pflanzen-Phänotypisierungsnetzwerk – mit Robotern, Oktokoptern und neuen Sensoren dem Nutzpflanzen-Phänotyp auf der Spur. Plenary talk. DLG-Technikertagung, Soest, Germany, 28.01.2014 |
|
Douchkov D, Lück S, Baum T, Seiffert U., Pape JM, Klukas C, Schweizer P. Micro- and macrophenomics for interactions of barley and Arabidopsis with fungal pathogens. Plenary talk. Tagung der DPG-Arbeitskreise „Mykologie“ und „Wirt-Parasit-Beziehungen“, Halle (Saale), Germany, 19.-20.03.2015 |
|
Junker A., Muraya MM, Weigelt-Fischer K., Arana-Ceballos F, Klukas C, Melchinger AE, Meyer RC, Riewe D, Altmann T (2015): Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems. Frontiers in Plant Science 5, 770. doi: 10.3389/fpls.2014.00770 |
|
Krajewski et al. (2015): Towards recommendations for metadata and data handling in plant phenotyping. J Exp Bot. doi: 10.1093/jxb/erv395 |
|
Metzner R.: Advances in Challenges of Phenotyping Biotic and Abiotic Stress: From Lab to Field. Poster presentation. UKPPN Workshop, Sheffield, UK, 12.01.2015 |
|
Müller-Linow M. Pinto-Espinosa F., Scharr H. & Rascher U. (2015): The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool. Plant Methods, 11:11, doi 10.1186/s13007-015-0052-z |
|
Muscolo A, Junker A, Klukas C, Weigelt-Fischer K, Riewe D, Altmann T (2015) Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions. Journal of Experimental Botany doi: 10.1093/jxb/erv208 |
|
Niederbacher B., J.B. Winkler and J.P. Schnitzler (2015) Volatile organic compounds as non-invasive markers for plant phenotyping J. Exp. Bot. (2015) doi:10.1093/jxb/erv219 |
|
Pape J.-M., Klukas C., 3-D histogram-based segmentation and leaf detection for rosette plants. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T (Eds.): Computer Vision - ECCV 2014 Workshops: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, proceedings, part IV (Series: Lecture Notes in Computer Science) Cham: Springer International Publishing Switzerland (2015) 61-74. ISBN 978-3-319-16219-5 |
|
Pape, J-M and Klukas C., (2015): "Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images." Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop, BMVA Press. 2015 doi: 10.5244/C.29.CVPPP.3 |
|
Rolletschek H, Fuchs J, Friedel S, Börner A, Todt H, Jakob P, Borisjuk L (2015) A novel noninvasive procedure for high-throughput screening of major seed traits. Plant Biotechnol. J. 13 188-199. dx.doi.org/10.1111/pbi.12245 |
|
Schilling S, Gramzow L, Lobbes D, Kirbis A, Weilandt L, Hoffmeier A, Junker A, Weigelt-Fischer K, Klukas C, Wu F, Meng Z, Altmann T, Theissen G (2015) Non-canonical structure, function and phylogeny of the B MADS-box gene OsMADS30 of rice (Oryza sativa). Plant J. 84 (2015) 1059-1072. dx.doi.org/10.1111/tpj.13055 |
2014
|
Douchkov D, Lück S, Baum T, Seiffert U, Schweizer P Microphenomics for interactions of barley with fungal pathogens. In: Tuberosa R, Graner A, Frison E (Eds.): Genomics of plant genetic resources. Vol. 2: Crop productivity, food security and nutritional quality. Dordrecht [u.a.]: Springer (2014) 123-148. dx.doi.org/10.1007/978-94-007-7575-6_5 ISBN 978-94-007-7574-9 |
|
Cendrero-Mateo P. , Damm A. , MatveevaM. , Pinto F. , Rossini M. , Schickling A. , Rascher U.: Remote sensing of sun-induced fluorescence to measure the functional regulation of photosynthesis. Plenary talk. AGU Conference, San Francisco, 16.-19.12.2014 |
|
A. Junker: High throughput plant phenotyping at IPK: facilities and applications, COST FA1306 WorkGroup1 Meeting 'Phenotyping on a whole-plant-level: from lab to field', Larnaca (Zypern), 13.11.2014 |
|
A. Junker: Hochdurchsatz-Pflanzenphänotypisierung am Leibniz Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) Gatersleben: Anwendung für die Analyse der Biomasse-Entwicklung von Lolium perenne, 55. Tagung des DLG-Ausschusses „Gräser, Klee und Zwischenfrüchte", Bonn, 4.11.2014 |
|
T. Altmann: Plant Phenotyping for Analysis of Genetic Variation and Heterosis of Growth and Metabolism, Phytotron Conference 2014, Helmholtz Zentrum München, Neuherberg, Germany, 29.-31.10.2014 |
|
Wittek F., Niederbacher B., Winkler J.B., Vlot A.C., Schitzler JP.: DPPN PATHO: Phenotyping plant responses to infection by non-invasive confocal imaging and online mass spectrometry. Poster Presentation. Phytotron Conference, Munich, 29.-31.10.2014 |
|
Dräxl S., Wittek F., Niederbacher B., Georgii E., Vlot-Schuster A.C., Schäffner A.R., Winkler B., Schnitzler JP, Durner J. and von Rad U.: The German Plant Phenotyping Network (DPPN) – Introducing new and upcoming facilities at the Institute of Biochemical Plant Pathology. Poster Presentation. Phytotron Conference, Munich, 29.-31.10.2014 |
|
Pieruschka R.: Closing the phenotyping bottleneck for sustainable increase in plant production. Planary talk. 6th European Network Event „Successful R& I in Europe“, Düsseldorf, 30.- 31.10.2014 |
|
T. Altmann: Genetic variation and heterosis of plant growth and metabolism, IGDB-IPK Bilateral Workshop and IPK-CAU Bilateral Workshop, Beijing China, 20.-23.10.2014 |
|
C. Klukas: New Methods in High-Throughput Plant Phenotyping for Growth Analysis and Leaf Detection for Rosette Plants. CROP.SENSe.net Symposium Bonn, 30.09.2014 |
|
Arend D., Chen J., Colmsee C., Flemming S., Hecht D., Scholz U. and Lange M: The e!DAL JAVA API: Sharing & Citing Research Data in Life Sciences. Poster Presentation. German Conference on Bioinformatics 2014 Bielefeld, Germany. 28.09.-1.10.2014 |
|
Keßeler A.: Pflanzen-Phänotypisierungsnetzwerke. Poster Presentation. Kongress der Fachagentur für nachwachsende Rohstoffe (FNR) „Mit Pflanzenzüchtung zum Erfolg“, Berlin, 09.-10.09.2014 |
|
Jean-Michel Pape and Christian Klukas: 3-D Histogram-Based Segmenta-tion and Leaf Detection for Rosette Plants. Poster presentation. European Conference on Com-puter Vison (ECCV), Workshop Computer Vision Problems in Plant Pheno-typing (CVPPP), Leaf Segmentation Challenge (LSC), Zürich, 6.-12.09.2014 |
|
Olbertz L., Müller-Linow M., Lankes C., Baab G., Noga G., Rascher U.: Quantification of the spatial structure of 3-d canopies - assessing the leaf angle distribution via stereo imaging. Plenary talk. 29th International Horticultural Congress, Brisbane, Australia, 17.-23.08.2014 |
|
Arend D.: Data Management Experiences and Best Practices from the Perspective of a Plant Research Institute. Plenary talk. Data Integration in Life Sciences (DILS) 2014 Lisbon, Portugal. 17.-18. July 2014 |
|
Altmann T.: Set-up, use, and upgrading of automated plant phenotyping technology at the IPK. Plenary talk. International Plant Phenotyping Conference MPI-MP Potsdam, Germany, 26.-27.06.2014 |
|
Schurr U.: Plenary talk: Phenomics. Joint EPSO-FESPB Conference, Dublin, Ireland, 22.-26.06.204 |
|
Arend D.: Long-Term Preservation and Management of Scientific Research Data. Plenary talk. DKE Kolloquium, Otto-von-Guericke-Universität Magdeburg. 22.05.2014 |
|
Lange M.: Data and Knowledge Engineering in Plant Genomics.Plenary talk. In proceedings of 3. International Workshop on Translational Bioinformatics and Medical Informatics, Turkey, 21.-23.05.2014 |
|
Lange M., Scholz U.: Genomes, Sequences, Information Systems. Plenary talk. Data Publication & Information Retrieval, Otto-von-Guericke-Universität Magdeburg, Germany, 20.03.2014 |
|
Arend D., Chen J., Colmsee C., Flemming S., Hecht D., Scholz U. and Lange M: The e!DAL JAVA API: Sharing & Citing Research Data in Life Sciences. Poster Presentation. International Symposium on Integrative Bioinformatics 2014. 12.-14.05.2014 |
|
Altmann T.: Molecular/ genetic analysis of biomass and metabotite heterosis in Arabidopsis and maize. Plenary talk. 27. Tagung der Molekularbiolgie der Pflanzen Dabringhausen, Germany. 26.-28.03.2014 |
|
Schurr U.: Plenary talk: IPPN Symposium, Chennai, India, 17.-19.02.2014 |
|
Altmann T.: Plant Phenotyping for Elucidation of Biomass- and Metabolite-Heterosis in Arabidopsis and Maize. Plenary talk, IPPN Symposium, Chennai, India, 17.-19.02.2014 |
|
Körber N.: Building National Platforms and International Networks to Tackle the Phenotyping Bottleneck. Poster Presentation. Plant and Animal Genome (PAG)- Conference, San Diego 11.-15.01.2014 |
|
Altmann T.: Genetic and Metabolic Marker-Based Prediction of Heterotic Traits in Arabidopsis and Maize. Plenary talk, Plant and Animal Genome (PAG)- Conference, San Diego 11.-15.01.2014 |
|
Arend D, Lange M, Chen J, Colmsee C, Flemming S, Hecht D, Scholz U (2014): e!DAL - a framework to store, share and publish research data. BMC Bioinformatics 15 214. dx.doi.org/10.1186/1471-2105-15-214 |
|
Fanourakis D., Briese C., Max J.F.J, Kleinen S., Putz A., Fiorani F., Ulbrich A. and Schurr U. (2014): Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture.Plant Methods, 10:9 (doi:10.1186/1746-4811-10-9) |
|
Klukas, C., Chen, D., Pape, J.M. (2014): Integrated analysis platform: An open-source information system for high-throughput plant phenotyping. Plant physiology 165(2), 506-518, dx.doi.org/10.1104/pp.113.233932 |
|
Metzner R., van Dusschoten D., Bühler J., Schurr U., Jahnke S. (2014): Belowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy. Frontiers in Plant Science 5, Article 469, 1-11 |
|
Raesch A.R., Muller O., Pieruschka R. & Rascher U. (2014): Field observation with Laser Induced Fluorescence Transient (LIFT) method in barley and sugar beet. Agriculture 4, 159-169 |
2013
|
Muller, O., Pieruschka R., Rascher U.: Phenotyping Plant Photosynthesis. Photo-physiology Phenotyping workshop. UKPPN, England,16.-17.12.2013 |
|
Arend D.: Long-Term Preservation and Management of Research Data.Planary talk. Research Seminar, Universität Rostock. 28.10.2013. |
|
Junker A.: Phenotyping plants: imaging-based methods for analyzing plant biomass, architecture, physiology, and efficiency. Plenary talk, 1st Barlomics Summer School Gatersleben, Germany, 09.-12.09.2013 |
|
Schurr U, Altmann T, Durner J, Keßeler A: Establishing phenotyping capacity within the German Plant Phenotyping Network (DPPN), EPPN Workshop, Porto Heli, Greece, 05.09.2013 |
|
Altmann T: Plant Phenotyping at IPK Gatersleben: Installations accessible through EPPN and examples of current applications. Plenary talk. EPPN Workshop Porto Heli, Greece, 05.09.2013 |
|
Nagel K., Fiorani F., Schurr U.: Image analysis systems for root phenotyping at Jülich Plant Phenotyping Centre (JPPC), Jahrestagung der Österreichischen Gesellschaft für Wurzelforschung (ASSR), Illmitz, Österreich, 16.-17.09.2013 |
|
Briese C., Bodewein T., Fiorani F.: Plant Shoot Image Segmentation using Colour Features and Support Vector Machines. Poster Presentation. Second International Workshop on Image Analysis Methods for the Plant Sciences, CPIB, University of Nottingham, England 2.-3.09.2013,. http://www.cpib.ac.uk/outreach/image-analysis-workshop-2013/ |
|
Pieruschka R.: Plant Phenotyping at the Jülich Plant Phenotyping Centre Invited speaker at University of Alnarp, Sweden, 27.07.2013 |
|
Fiorani F.: Rich representation by non-¬invasive sensors provides insight into spatial and temporal dynamics of plantorgan growth, development, and responses to environmental clues. Learning from the Plant Kingdom to Invent Smart Artificial Solutions, London, England, 19.07.2013 |
|
Schurr U., van Dusschoten D., Metzner R., Jahnke S., Bühler J., Nagel K., Fiorani F., Bloßfeld S., Faget M., Wojciechowski T., Schneider H., Scharr H., Kuhn AJ., Huber G., Temperton V., Windt C., Ernst M., Postma J.: Dynamics of plant root systems for resource use efficiency. SEB Annual Main Meeting 2013, Valencia, Spain, 03.-07.07.2013 |
|
Jansen M., Nagel K., Braun S., Kastenholz B., Schurr U., Fiorani F.: Phenotyping technologies for quantitative analyses of Arabidopsis shoot and root systems. ICAR 2013- 24th International Conference on Arabidopsis Research, Sydney, Australia, 24.-28.06.2013 |
|
Fiorani F., Postma J., Schurr U.: Traits and technologies for plant phenotyping. Olomouc Biotech 2013. Plant Biotechnology: Green for Good II, Olomouc, Tschechien, 17.-21.06.2013 |
|
Lange M.: Management von Forschungsprimärdaten und DOI Registrierung. Plenary talk. Geschäftsstelle Leibniz Gemeinschaft Berlin, Germany, 19.06.2013 |
|
Nagel K., Bloßfeld, S., Ernst, M., Fiorani, F.: Root phenotyping - analysing the hidden traits by using 2D approaches, CROP.SENSe.net Summer School 2013 'The Root Zone: Improving Resource Efficiency of Crops', Jülich, Deutschland, 22.05.2013 |
|
Fuchs J, Neuberger T, Rolletschek H, Schiebold S, Nguyen TH, Borisjuk N, Börner A, Melkus G, Jakob P,Borisjuk L. (2013): A noninvasive platform for imaging and quantifying oil storage in submillimeter tobacco seed Plant Physiol. Feb;161(2):583-93. doi: 10.1104/pp.112.210062. Epub 2012 Dec 11. |
|
Postma J.A.,Schurr U., Fiorani F. (2013): Dynamic root growth and architecture responses to limiting nutrient availability: linking physiological models and experimentation, Biotechnology Advances, Available online 5 September 2013, ISSN 0734-9750, http://dx.doi.org/10.1016/j.biotechadv.2013.08.019 |
2012
|
Pieruschka R.: Plant Phenotyping at the Jülich Plant Phenotyping Centre, Workshop: Plant Phenotyping, Poznan, Poland, 11.12.2012 |
|
Pieruschka R.: Plant Phenotyping in Europe: Cooperation Opportunities with Africa, Third CAAST-Net stakeholders' conference on Africa-Europe S&T cooperation in cooperation with PAERIP, Accra, Ghana, 3.-5.12.2012. |
|
Pieruschka R., Nagel K.A., Jahnke S., Rascher U., Fiorani F., Schurr U.: Non-invasive measurements of plant traits at the Jülich Plant Phenotyping Centre, Phenodays, Wageningen, Netherlands, 11.10.2012 |