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Prediction modelling of soilborne plant diseases

Prediction modelling of soilborne plant diseases The use of models for predicting disease occurrence or for providing decision support packages to manage soilborne plant diseases offers many potential benefits for reducing the impact of disease, particularly through better targeting of resources required for implementing control strategies. The development of such packages has been very limited, particularly when compared to what is available for the leaf diseases, and this is most probably due to the greater complexity of the soil environment. A take-all prediction model has been developed which estimates inoculum level, disease occurrence, crop yields and economic outcomes based on a range of environmental, management and financial options. The model has been adopted by industry and is made available to growers through a network of accredited agronomists. The features of the take-all model and its potential as a platform for the development of other soilborne disease models are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Australasian Plant Pathology Springer Journals

Prediction modelling of soilborne plant diseases

Roget, D.
Australasian Plant Pathology , Volume 30 (2) – Jan 28, 2011
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References (19)

Publisher
Springer Journals
Copyright
Copyright © 2001 by Australasian Plant Pathology Society
Subject
Life Sciences; Plant Pathology; Plant Sciences; Agriculture; Entomology; Ecology
ISSN
0815-3191
eISSN
1448-6032
DOI
10.1071/AP01005
Publisher site
See Article on Publisher Site

Abstract

The use of models for predicting disease occurrence or for providing decision support packages to manage soilborne plant diseases offers many potential benefits for reducing the impact of disease, particularly through better targeting of resources required for implementing control strategies. The development of such packages has been very limited, particularly when compared to what is available for the leaf diseases, and this is most probably due to the greater complexity of the soil environment. A take-all prediction model has been developed which estimates inoculum level, disease occurrence, crop yields and economic outcomes based on a range of environmental, management and financial options. The model has been adopted by industry and is made available to growers through a network of accredited agronomists. The features of the take-all model and its potential as a platform for the development of other soilborne disease models are discussed.

Journal

Australasian Plant Pathology – Springer Journals

Published: Jan 28, 2011

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