Nause, N., J. Strassemeyer, A.-K. Mahlein, N. Stockfisch
Pesticide use in sugar beet cultivation in Germany and assessment of the associated environmental risks using the risk indicator SYNOPS-GIS
Pest Management Science (2021), 1-37, https://doi.org/10.1002/ps.6501
Brugger, A., P. Schramowski, S. Paulus, U. Steiner, K. Kersting, A.-K. Mahlein
Spectral signatures in the UV‐range can be combined with secondary plant metabolites by deep learning to characterise barley – powdery mildew interaction.
Plant Pathology (2021), doi: 10.1111/ppa.13411
Storelli, A., A. Minder, A. Keiser, S. Kiewnick, M. Daub, A.-K. Mahlein, M. Schumann, W. Beyer
Screening of sugar beet pre-breeding populations and breeding lines for resistance to Ditylenchus dipsaci penetration and reproduction
Journal of Plant Diseases Protechtion (2021) 53, 254, doi: 10.1007/s41348-021-00483-6
Storelli, A., S. Kiewnick, M. Daub, A.-K. Mahlein, M. Schumann, W. Beyer, A. Keiser
Virulence and pathogenicity of four Ditylenchus dipsaci populations on sugar beet
European Journal of Plant Pathology (2021) 53, 254, doi: 10.1007/s10658-021-02304-w
Storelli, A., A. Keiser, S. Kiewnick, M. Daub, A.-K. Mahlein, W. Beyer, M. Schumann
Development of a new in vivo protocol through soil inoculation to investigate sugar beet resistance towards Ditylenchus dipsaci penetration
Nematology (2021), 1-10, doi: 10.1163/15685411-bja10069
Mahlein, A.-K., D. Laufer, E. Ladewig
Rüben gegen Flöhe und Läuse schützen
Land & Forst (2021) 12, 10–32
Mahlein, A.-K., D. Laufer, E. Ladewig
Lösen Roboter das Unkrautproblem?
Land & Forst (2021) 10, 18–19
Varrelmann, M., R. Hossain, E. Ladewig
Viröse Vergilbung: Befallssituation und Aussichten
Zuckerrübe (2021) 70, 22–26
Laufer, D., E. Ladewig
Herbizide: Welche Optionen verbleiben und wie wirken sie?
Zuckerrübe (2021) 70, 24-28
Laufer, D., H.-J. Koch
Streifenbodenbearbeitung im Zuckerrübenanbau auf Lössboden in Deutschland.
In: Kuratorium für Technik und Bauwesen in der Landwirtschaft und KTBL (Hg.) (2021): Streifenbodenbearbeitung. Eine Bestandesaufnahme aus Forschung und Beratung.
Darmstadt (KTBL-Schrift, 521), S. 52–59
Ebmeyer, H., K. Fiedler-Wiechers, C.M. Hoffmann
Drought tolerance of sugar beet – Evaluation of genotypic differences in yield potential and yield stability under varying environmental conditions
European Journal of Agronomy (2021) 125, doi: 10.1016/j.eja.2021.126262
Bohnenkamp, D., J. Behmann, S. Paulus, U. Steiner, A.-K. Mahlein
A hyperspectral library of foliar diseases of wheat
Phytopathology (2021) doi: 10.1094/PHYTO-09-19-0335-R
Barreto, A., F. Ispizua, S. Paulus, A.-K. Mahlein
Pflanzenkrankheiten mittels Drohnen erkennen
DLG-Mitteilungen (2021) 136 (1), 67
Brugger, A., U. Steiner, A.-K. Mahlein
Mit UV-Licht früh Infektionen aufspüren
DLG-Mitteilungen (2021) 136 (1), 66
Imbusch, F., S. Liebe, T. Erven, M. Varrelmann
Dynamics of Cercospora leaf spot disease determined by aerial spore dispersal in artificially inoculated sugar beet fields
Plant Pathology (2021), doi.org/10.1111/ppa.13337
Storelli, A., A. Keiser, S. Kiewnick, M. Daub, A.-K. Mahlein, W. Beyer, M. Schumann
Development of a new in vivo protocol through soil inoculation to investigate sugar beet resistance towards Ditylenchus dipsaci penetration
Nematology (2021) 1–10, doi.org/10.1163/15685411-bja10069306
Alisaac, E., A. Rathgeb, P. Karlovsky, A.-K. Mahlein
Fusarium Head Blight: Effect of Infection Timing on Spread of Fusarium graminearum and Spatial Distribution of Deoxynivalenol within Wheat Spikes
Microorganisms (2021) 9 (1):79, doi.org/10.3390/microorganisms9010079
Hoffmann, C.M., H.-J. Koch, B. Märländer
Sugar beet
In: Calderini, D., Sadras, V.O., Victor O. Sadras, Daniel F. Calderini (Eds.) (2020), Crop physiology: Case histories for major crops
Elsevier Inc, San Diego, S. 635–672
Hossain, R., W. Menzel, C. Lachmann, M. Varrelmann
New insights into virus yellows distribution in Europe and effects of beet yellows virus, beet mild yellowing virus, and beet chlorosis virus on sugar beet yield following field inoculation
Plant Pathology (2020), doi: 10.1111/ppa.13306
Müllender, M.M., A.‐K. Mahlein, G. Stammler, M. Varrelmann
Evidence for the association of target‐site resistance in cyp51 with reduced DMI sensitivity in EuropeanCercospora beticola field isolates
Pest Management Science (2020) 77 (4), doi.org/10.1002/ps.6197
Kenter, C., P. Götze, E. Ladewig
Methodological studies on the precision of variety trials with sugar beet – effect of sample size and head rows
Sugar Industry (2020) 145, 554–561, doi: 10.36961/si24856
Götze, P., H.-J. Koch
Fruchtfolgen - Ertrag und Effizienz steigern - Zuckerrüben profitieren von einer klugen Rotation
dzz (2020) Nr. 5, 36–38
Mahlein, A.-K., N. Stockfisch
Pflanzenschutz digitalisieren und optimieren: Projektstart FarmerSpace in Göttingen
Zuckerrübe (2020) 69 Nr. 5, 36–37
Beneke, F., A.-K. Mahlein, A. W. Heckmann, S. Paulus, P. Gremmes
Digitale Technologien im Pflanzenschutz
Technik und Leben (2020) Nr. 3, 4
How table sugar is produced from sugar beets
Frontiers for Young Minds (2020) 8, 108, doi: 10.3389/frym.2020.00108
Technical workflows for hyperspectral plant image assessment and processing on the greenhouse and laboratory scale
GigaScience (2020) 9, doi: 10.1093/gigascience/giaa090
Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets
BMC Bioinformatics (2020) 21, 335, doi: 10.1186/s12859-020-03654-8
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Nature Machine Intelligence (2020) 2, 476-486, doi: 10.1038/s42256-020-0212-3; https://rdcu.be/b6dRr
Wie erfolgt die Sortenprüfung?
Zuckerrüben Journal (2020) Nr. 3, 10-12
Stockfisch, N., K. Trimpler, C. Roß
Biodiversität erhalten und fördern
Zuckerrüben Journal (2020) Nr. 3, 13-14
