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Precision Crop Protection - the Challenge and Use of Heterogeneity pp 27–50Cite as

Spatial and Temporal Dynamics of Plant Pathogens

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Abstract

Plant disease risk varies not only temporally, but also spatially. Adding the spatial component to disease risk detection and disease risk assessment will help farmers, researchers, and policy decision makers make informed, science-based decisions. By integrating GPS , GIS , and remote sensing technologies (especially satellite remote sensing platforms), new, quantitative information concerning disease risk can now be obtained. Moreover, ground-based methods and models previously developed and used to detect and quantify disease gradients and healthy green leaf area (HGLA ) gradients can now be coupled with aerial and satellite imagery datasets. Previously, remote sensing technologies have been used successfully to detect, quantify, and map disease stress. However, the inability to discriminate accurately among the causes of biotic and abiotic crop stress agents has greatly limited the adoption of remote sensing -based technologies to improve disease risk assessment and disease management. This chapter describes how GPS , GIS , and remote sensing technologies can be integrated and used to extract pathogen-specific temporal and spatial ‘signatures’ that have tremendous potential to accurately identify the cause(s) of biotic and abiotic stress in crops. Moreover, we describe a new paradigm in which remote sensing can be used to quantify, evaluate, and compare specific disease management strategies, and tactics (or entire integrated disease management programs) for their abilities to optimize and maintain crop health (i.e., healthy green leaf area) .

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Authors and Affiliations

  1. Department of Plant Pathology, Iowa State University, Ames, IA, 50011, USA

    Forrest W. Nutter Jr, Sharon K. Eggenberger & Noha Holah

  2. Cedara Department of Agriculture, Cedara Plant Disease Clinic, Cedara, South Africa

    Neil van Rij

Authors
  1. Forrest W. Nutter Jr
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  2. Neil van Rij
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  3. Sharon K. Eggenberger
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  4. Noha Holah
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Corresponding author

Correspondence to Forrest W. Nutter Jr .

Editor information

Editors and Affiliations

  1. , Institute of Crop Science and Resource C, University of Bonn, Nussallee 9, Bonn, 53115, Germany

    Erich-Christian Oerke

  2. , Department of Weed Sciences, University of Hohenheim, Otto-Sanderstrasse 5, Stuttgart, 70599, Germany

    Roland Gerhards

  3. , Department of Geography, Remote Sensing, University of Bonn, Meckenheimer Allee 166, Bonn, 53115, Germany

    Gunter Menz

  4. , Institute of Crop Science and Resource C, University of Bonn, Nussallee 9, Bonn, 53115, Germany

    Richard A. Sikora

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Nutter, F.W., van Rij, N., Eggenberger, S.K., Holah, N. (2010). Spatial and Temporal Dynamics of Plant Pathogens. In: Oerke, EC., Gerhards, R., Menz, G., Sikora, R. (eds) Precision Crop Protection - the Challenge and Use of Heterogeneity. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9277-9_3

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