Eini, O., M. Varrelmann
Challenges and potential applications of genome editing in sugar beet
Sugar Industry (2022),147(5), 274-283, DOI: 10.36961/si28687
Kuska, M. T., R. H. J. Heim, I. Geedicke, K. M. Gold, A. Brugger, S. Paulus
Digital plant pathology: a foundation and guide to modern agriculture
Journal of Plant Diseases and Protection (2022) 11 (9), 556, doi.org/10.1007/s41348-022-00600-z
Hamer, U, M.U.T. Meyer, U.-N. Meyer, A. Radermacher, P. Götze, H.-J. Koch, C. Scherber
Soil microbial biomass and enzyme kinetics for the assessment of temporal diversification in agroecosystems
Basic and Applied Ecology (2021), 53, 143-153 doi.org/10.1016/j.baae.2021.03.014
Thompson, H., S. Vaughan, E. Ladewig, A.-K. Mahlein, C. Kenter
Is there a risk to honeybees from use of thiamethoxam as a sugar beet seed treatment?
Integrated Environmental Assessment and Management (2022),18(3), 709-721, doi.org/10.1002/ieam.4498
Grunwald, D., A. Stracke, H.-J. Koch
Cover crop effects on soil structure and early sugar beet growth
Soil Use and Mangement (2022), DOI: 10.1111/sum.12800
Roß, C., J. Burgdorff, N. Stockfisch
Beeinflussen Bodenbarbeitung und Fruchtfolge die Herbizidintensität?
Zuckerrübe (2022) 71 (2), 14-17
Hohmann, S., S. Streit
Farmdroid im Praxiseinsatz
dzz (2022) 58 (2), 25-27
Roß, C., J. Burgdorff, N. Stockfisch
Anbauverfahren und Herbizideinsatz
dzz (2022) 58 (2), 32-33
English, W., J. Ekelöf, F. Vancutsem, M. Leijdekkers, G. Kleuker, C. M. Hoffmann
Method for in-field texture analysis of sugar beet roots using a handheld penetrometer
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science (2022), 72(1), 623-634, DOI: 10.1080/09064710.2022.2042589
Eini, O., N. Schumann; M. Niessen, M. Varrelmann
Targeted mutagenesis in plants using Beet curly top virus for efficient delivery of CRISPR/Cas12a components
New Biotechnology (2022), 67, 1-11, doi:10.1016/j.nbt.2021.12.002
Hossain, R., M. Varrelmann
Vergilbungsviren: Die Suche nach Toleranz und Resistenz
Zuckerrübe (2022), 71(1), 29-32
Bock, C. H., J. G. A. Barbedo, A.-K. Mahlein, E. M. Del Ponte
A special issue on phytopathometry — visual assessment, remote sensing, and artificial intelligence in the twenty‑first century
Tropical Plant Pathology (2022), doi.org/10.1007/s40858-022-00498-w
Hossain, R., M. Varrelmann
Auf dem Weg zur Vergilbungsvirus-Resistenz in Zuckerrüben – Wege zur Virusresistenz
dzz (2022), 58(1), 22-23
Carbon Farming mit der Zuckerrübe? Wirkung des Rübenblatts und der Fruchtfolgegestaltung auf den Kohlenstoffgehalt des Bodens
dzz (2022), 58(1), 28-29
Sensing the occurrence and dynamics of Cercospora leaf spot disease using UAV-supported image data and deep learning
Sugar Industry (2022), 147 (2), 1-8, doi:10.36961/si28345
The Virulence Factor p25 of Beet Necrotic Yellow Vein Virus Interacts With Multiple Aux/IAA Proteins From Beta vulgaris: Implications for Rhizomania Development
Frontiers in Microbiology (2022) 12, 1-14, doi.org/10.3389/fmicb.2021.809690
Thomas, S., J. Behmann, U. Rascher, A.-K. Mahlein
Evaluation of the benefits of combined reflection and transmission hyperspectral imaging data through disease detection and quantification in plant–pathogen interactions
Journal of Plant Diseases and Protection (2022), 1-16, doi.org/10.1007/s41348-022-00570-2
Günder, M., F. Ispizua, J. Kierdorf, R. Rosdher, A.-K. Mahlein
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
Giga Science (2022), Preprint arXiv:2201.02885v1
Roß, C., N. Stockfisch
Zwischenfruchtanbau – Ein Beitrag zum Green Deal?
Sugar Industry (2022), 147(1), 42-45
Hoffmann, C.M., G. Kleuker, A. Wauters, W. English, M. Leijdekkers
Root tissue strength and storage losses of sugar beet varieties as affected by N application and irrigation
Sugar Industry (2022), 147(1), 34-41
Grunwald, D., H.-J. Koch
Humushaushalt in Zuckerrübenfruchtfolgen
Zuckerrübe (2021), 70(6), 36-38
Ebmeyer, H., C.M. Hoffmann
Trockenstress und Wasserbedarf: Ertragsbildung von Zuckerrüben
Zuckerrübe (2021), 70(6), 32-35
Ebmeyer, H., C.M. Hoffmann
Water use efficiency of sugar beet genotypes: A relationship between growth rates and water consumption
Journal of Agronomy and Crop Science (2022), 208(1), 28-39, doi:10.1111/jac.12569
Ebmeyer, H., C.M. Hoffmann
Wasserbedarf von Zuckerrüben
dzz (2021), 57(6), 32-33
Hossain, R., M. Varrelmann
Viröse Vergilbung in Zuckerrüben – Wege zur Virusresistenz
Sugar Industry (2021), 146(12), 696-701
Kuska, M.T., M. Daub, A.-K. Mahlein
Emerging technologies for integrated nematode managment: Remote sensing or proximal sensing as a potential tool to detect and identify nematode infestation
Integrated Nematode Management: State-of-the-Art and Visions for the Future (2022), 414-420
Nause, N., A. Tossens, H. Tschoep. C.M. Hoffmann
High stability of genotypic differences in puncture resistance of sugar beet (Beta vulgaris) roots under various growing conditions
Plant Breeding (2021), 141, 88-95, DOI: 10.1111/pbr.12988
Ebmeyer, H., C.M. Hoffmann
Water use efficiency of sugar beet genotypes: A relationship between growth rates and water consumption
Journal of Agronomy and Crop Science (2021), https://doi.org/10.1111/jac.12569
Barreto, A., F.R. Ispizua, S. Paulus, A.-K. Mahlein
Pflanzenkrankheiten mittels Drohnen erkennen
DLG-Mitteilungen (2021) Sonderheft 136 , 17
Brugger, A., U. Steiner, A.-K. Mahlein
Mit UV-Licht früh Infektionen aufspüren
DLG-Mitteilungen (2021) Sonderheft 136, 16
Ebmeyer, H., C.M. Hoffmann
Efficiency of nitrogen uptake and utilization in sugar beet genotypes
Field Crops Research (2021), 274, 108334, https://doi.org/10.1016/j.fcr.2021.108334
Manthey, R., C. Kenter, D. Laufer, E, Ladewig
Das integrierte Sortenprüfsystem Zuckerrübe – Wachsen mit den Herausforderungen
Sugar Industry (2021), 146, 643-646
Barreto, A., P. Lottes, F.R. Ispizua Yamati, S. Baumgarten, N.A. Wolf, C. Stachniss, A.-K. Mahlein, S. Paulus
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry
Computers and Electronics in Agriculture (2021), 191, doi.org/10.1016/j.compag.2021.106493
Bohnenkamp, D., J. Behnmann, S. Paulus, U. Steiner, A.-K. Mahlein
A Hyperspectral Library of Foliar Diseases of Wheat
Phytopathology (2021), doi.org/10.1094/PHYTO-09-19-0335-R
Kleuker, G., C.M. Hoffmann
Causes of different tissue strength, changes during storage and effect on the storability of sugar beet genotypes
Postharvest Biology and Technology (2021), doi.org/10.1016/j.postharvbio.2021.111744
