Plant disease epidemiology is the study of disease in plant
populations. Much like diseases of humans and other animals plant
diseases occur due to pathogens such as bacteria viruses fungi
oomycetes nematodes phytoplasmas protozoa and parasitic plants.
Plant disease epidemiologists strive for an understanding of the
cause and effects of disease and develop strategies to intervene in
situations where crop losses may occur. Typically successful
intervention will lead to a low enough level of disease to be
acceptable depending upon the value of the crop.
Plant disease epidemiology is often looked at from a multi-disciplinary approach requiring biological statistical agronomic and ecological perspectives. Biology is necessary for understanding the pathogen and its life cycle. It is also necessary for understanding the physiology of the crop and how the pathogen is adversely affecting it. Agronomic practices often influence disease incidence for better or for worse. Ecological influences are numerous. Native species of plants may serve as reservoirs for pathogens that cause disease in crops. Statistical models are often applied in order to summarize and describe the complexity of plant disease epidemiology so that disease processes can be more readily understood. For example comparisons between patterns of disease progress for different diseases cultivars management strategies or environmental settings can help in determining how plant diseases may best be managed. Policy can be influential in the occurrence of diseases through actions such as restrictions on imports from sources where a disease occurs.
Plant disease epidemiology is often looked at from a multi-disciplinary approach requiring biological statistical agronomic and ecological perspectives. Biology is necessary for understanding the pathogen and its life cycle. It is also necessary for understanding the physiology of the crop and how the pathogen is adversely affecting it. Agronomic practices often influence disease incidence for better or for worse. Ecological influences are numerous. Native species of plants may serve as reservoirs for pathogens that cause disease in crops. Statistical models are often applied in order to summarize and describe the complexity of plant disease epidemiology so that disease processes can be more readily understood. For example comparisons between patterns of disease progress for different diseases cultivars management strategies or environmental settings can help in determining how plant diseases may best be managed. Policy can be influential in the occurrence of diseases through actions such as restrictions on imports from sources where a disease occurs.
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