Grassland Science and Renewable Plant Resources (GNR)
Phone: | +49- (0)561-8041334
|
Address: | Nordbahnhofstraße 1a 37213 Witzenhausen |
Description
The Department of Grassland Science and Renewable Plant Resources as a sector of organic agriculture science concentrate on a wide range of topics. On the one hand we focus on complex relations between grassland vegetation, site conditions, forage quality and their relevance for farming and environment. In this context legumes (e.g. white clover) play a prominent role, because of their ability to nitrogen fixation. This permits a high-quality forage production without the input of mineral fertilizers. On the other hand we ascertain new cultivation methods for plants as renewable resources for energy (e.g. biogas, biodiesel) or raw materials (e.g. material for thermal insulation). For fast and accurate determination of swards we prove new non-destructive sensory methods. They shall serve for a better decision support to optimise management of swards for farmers. These future-oriented sectors open new income sources for farming and important impulses for the discussion about the sustainable use of resources.
------
Projects
01/2024 - 12/2027 | |
09/2023 - 03/2026 | |
08/2023 - 12/2025 | |
07/2023 - 07/2028 | |
09/2022 - 04/2023 | |
12/2021 - 12/2024 | |
09/2021 - 08/2025 | |
09/2021 - 12/2025 | |
07/2021 - 12/2023 | |
03/2021 - 02/2024 | |
Publications
2018 | |
2018 | Astor, T., Wachendorf, M., 2018. Estimating Grassland Biomass - Potentials and Limitations of Point Cloud Analysis, in: Gaikad, J., König-Ries, B., Recknagel, F. (Hrsg.), Proceedings of the 10th International Conferenceb on Ecological Informatics. Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World. ICEI, Jena, S. 53–54. |
2018 | Astor, T., Dayananda, S., Nidamanuri, R., Nautiyal, S., Hanumaiah, N., Bürkert, A., Wachendorf, M., 2018. Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images. Remote Sensing 10, 805. https://doi.org/10.3390/rs10050805 |
2018 | Wijesingha, J., Astor, T., Hensgen, F., Wachendorf, M., 2018. Grassland biomass modelling from remote sensing 3D point clouds, in: Stützel, H., Fricke, A., Francke-Weltmann, L. (Hrsg.), 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften - From Big Data to Smart Farming. Verlag Liddy Halm, Göttingen, S. 37–38. |
2018 | Malec, S.S., Graß, R., Wachendorf, M., 2018. Grassland management effects on aboveground matter fluxes in silvopastoral agroforestry systems, in: Nuria Ferreiro-Domínguez María Rosa Mosquera-Losada (Hrsg.), Agroforestry as sustainable land use. University of Santiago de Compostela, Santiago de Compostela, S. 462–465. |
2018 | Roß, C.-L., Sensel-Gunke, K., Wilken, V., Muskolus, A., Krause, G., Tschuikowa, S., Hübner, A., Fiebrich, V., Ellmer, F., 2018. Kompostierte Gärreste aus Bioabfällen als Düngestoffe: Bodenchemische und pflanzenbauliche Wirkungen in einem dreijährigen Feldversuch. Journal für Kulturpflanzen 70, 169–210. https://doi.org/10.1399/JFK.2018.06.03 |
2018 | Schulze-Brüninghoff, D., Astor, T., Hensgen, F., Wachendorf, M., 2018. LiDAR-based estimation of extensive grassland biomass invaded by large-leaved lupine (Lupinus polyphyllus Lindl.), in: Horan, B., Hennessy, D., Kennedy, E., McCarthy, B., Finn, J.A., O’Brien, B.O. (Hrsg.), 27th General Meeting of the European Grassland Federation, Sustainable meat and milk production from grasslands. European Grassland Federation, Cork, Ireland, S. 907–909. |
2018 | Schulze-Brüninghoff, D., Astor, T., Hensgen, F., Wachendorf, M., 2018. Methoden zur lasergestützten Abschätzung extensiver Grünlandbestände, in: Stützel, H., Fricke, A., Francke-Weltmann, L. (Hrsg.), 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften - From Big Data to Smart Farming. Verlag Liddy Halm, Göttingen, S. 67–68. |
2018 | |
2018 | Kyere, I., Astor, T., Graß, R., Wachendorf, M., 2018. Multi-temporal Analysis of Agricultural Land cover in Northern Hesse using satellite data., in: Stützel. H., Fricke, A., Francke-Weltmann, L., Gesellschaft für Pflanzenbauwissenschaften e. V. (Hrsg.), From Big Data to Smart Farming. 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e. V., 25. bis 27. September 2018, Kiel. Liddy Halm, Göttingen, S. 169–170. |
Other Research Activities
SS 2023 | |
SS 2023 | |
SS 2023 | |
WS 2022/2023 | |
04/2023-05/2023 | |
SS 2023 | |
SS 2023 | |
SS 2023 | |
SS 2023 | |
SS 2023 | |