title: Analysis of nonlinear relationships in dual epidemics, and its application to the management of grapevine downy and powdery mildews.
abstract: 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.
authors: INRA, UMR Santé Végétale, IFR103, ISVV, Villenave d'Ornon Cedex, France. s.savary@cgiar.org
authors: Serge
authors: S
authors: Savary
authors: Lionel
authors: L
authors: Delbac
authors: Amélie
authors: A
authors: Rochas
authors: Guillaume
authors: G
authors: Taisant
authors: Laetitia
authors: L
authors: Willocquet
mesh_terms: D001203:Ascomycota; D016000:Cluster Analysis; D009868:Oomycetes; D010935:Plant Diseases / Q000382:microbiology*; D018515:Plant Leaves / Q000382:microbiology; D012307:Risk Factors; D013997:Time Factors; D027843:Vitis / Q000382:microbiology*; D014887:Weather