Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews
Dual epidemics are defined as epidemics developing on two or several plant organs in the course of a cropping season. Agricultural pathosystems where such epidemics develop are often very important, because the harvestable part is one of the organs affected. These epidemics also are often difficult...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Scientific Societies
2009
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| Online Access: | https://hdl.handle.net/10568/166149 |
| _version_ | 1855518264806866944 |
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| author | Savary, Serge Delbac, Lionel Rochas, Amélie Taisant, Guillaume Willocquet, Laetitia |
| author_browse | Delbac, Lionel Rochas, Amélie Savary, Serge Taisant, Guillaume Willocquet, Laetitia |
| author_facet | Savary, Serge Delbac, Lionel Rochas, Amélie Taisant, Guillaume Willocquet, Laetitia |
| author_sort | Savary, Serge |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Dual epidemics are defined as epidemics developing on two or several plant organs in the course of a cropping season. Agricultural pathosystems where such epidemics develop are often very important, because the harvestable part is one of the organs affected. These epidemics also are often difficult to manage, because the linkage between epidemiological components occurring on different organs is poorly understood, and because prediction of the risk toward the harvestable organs is difficult. In the case of downy mildew (DM) and powdery mildew (PM) of grapevine, nonlinear modeling and logistic regression indicated nonlinearity in the foliage–cluster relationships. Nonlinear modeling enabled the parameterization of a transmission coefficient that numerically links the two components, leaves and clusters, in DM and PM epidemics. Logistic regression analysis yielded a series of probabilistic models that enabled predicting preset levels of cluster infection risks based on DM and PM severities on the foliage at successive crop stages. The usefulness of this framework for tactical decision-making for disease control is discussed. |
| format | Journal Article |
| id | CGSpace166149 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| publisher | Scientific Societies |
| publisherStr | Scientific Societies |
| record_format | dspace |
| spelling | CGSpace1661492024-12-19T14:12:05Z Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews Savary, Serge Delbac, Lionel Rochas, Amélie Taisant, Guillaume Willocquet, Laetitia Dual epidemics are defined as epidemics developing on two or several plant organs in the course of a cropping season. Agricultural pathosystems where such epidemics develop are often very important, because the harvestable part is one of the organs affected. These epidemics also are often difficult to manage, because the linkage between epidemiological components occurring on different organs is poorly understood, and because prediction of the risk toward the harvestable organs is difficult. In the case of downy mildew (DM) and powdery mildew (PM) of grapevine, nonlinear modeling and logistic regression indicated nonlinearity in the foliage–cluster relationships. Nonlinear modeling enabled the parameterization of a transmission coefficient that numerically links the two components, leaves and clusters, in DM and PM epidemics. Logistic regression analysis yielded a series of probabilistic models that enabled predicting preset levels of cluster infection risks based on DM and PM severities on the foliage at successive crop stages. The usefulness of this framework for tactical decision-making for disease control is discussed. 2009-08 2024-12-19T12:55:54Z 2024-12-19T12:55:54Z Journal Article https://hdl.handle.net/10568/166149 en Scientific Societies Savary, Serge; Delbac, Lionel; Rochas, Amélie; Taisant, Guillaume and Willocquet, Laetitia. 2009. Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews. Phytopathology®, Volume 99 no. 8 p. 930-942 |
| spellingShingle | Savary, Serge Delbac, Lionel Rochas, Amélie Taisant, Guillaume Willocquet, Laetitia Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title | Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title_full | Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title_fullStr | Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title_full_unstemmed | Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title_short | Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews |
| title_sort | analysis of nonlinear relationships in dual epidemics and its application to the management of grapevine downy and powdery mildews |
| url | https://hdl.handle.net/10568/166149 |
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