<b>Populationsdynamik / Epidemiologie / Prognose</b>
Abstract
- 109 - Die Bekämpfung von bivoltinen Maiszünsler Populationen – ein Fazit aus Forschung & Praxis
Controlling bivoltine European Corn Borer populations - a conclusion from research and practice in Germany
Olaf Zimmermann, Michael Glas, Franz-Josef Kansy, Kurt Dannemann, Wolfgang Wagner, Gabriele Zgraja - 110 - Spatial-Temporal Dynamics of FHB on Wheat Ears Visualized by Thermal Imaging
Visualisierung der räumlichen und zeitlichen Dynamik der FHB an Weizenähren anhand eines Wärmebildsensors
Ali Al Masri, Erich-Christian Oerke, Petr Karlovsky, Heinz-Wilhelm Dehne - 111 - Mehrjährige deutschlandweite Monitoring-Ergebnisse zur Verbreitung von Blattkrankheiten in Mais
Results of long-term monitoring of the distribution of leaf diseases in maize in Germany
Tobias Erven, Gerd Kellermann - 112 - Ein Vorhersagemodell für Exserohilum turcicum in Mais
An Exserohilum turcicum prediction modelling tool in maize
Véronique Ortega, Thierry Varraillon, Sebastien Duclau, Valérie Berthié, Mickael Bourcier, Martin Schulte - 113 - Einfluss des Klimawandels auf das Auftreten und den Epidemieverlauf der Cercospora beticola Blattfleckenkrankheit an Zuckerrüben in Anbauregionen in Rheinland-Pfalz und Südhessen
Impact of climate change on the occurrence and the epidemic development of Cercospora leaf spot disease (Cercospora beticola) in sugar beets for Rhineland-Palatinate and the southern part of Hesse
Paolo Racca, Jan Schlüter, Pascal Kremer, Hans-Joachim Fuchs, Christian Lang - 114 – Modellierung der Infektionswahrscheinlichkeiten für wichtige Sonnenblumenkrankheiten und die Nutzung in einem Entscheidungshilfesystem
Modelling of the infection probability of the most important diseases at sunflower and their integration in a Decision Support System
Paolo Racca, Claudia Tebbe, Benno Kleinhenz
Downloads
Published
2014-09-22
Issue
Section
Poster
License
This work is licensed under a Creative Commons Attributed 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits