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United States Department of Agriculture

Agricultural Research Service

Title: Spatial Pattern Analysis of Sharka Disease (Ppv-M Strain) in Peach Orchards in Southern France

item Dallot, S. - USDA-ARS-USHRL
item Labonne, G. - ENSA-INRA
item Quiot, J. B. - ENSA-INRA

Submitted to: Phytopathology
Publication Type: Abstract Only
Publication Acceptance Date: October 1, 2003
Publication Date: December 1, 2003
Citation: Dallot, S., Gottwald, T., Labonne, G., Quiot, J. B. 2003. Spatial Pattern Analysis of Sharka Disease (PPV-M Strain) in Peach Orchards in Southern France. Phytopathology 93:1543

Technical Abstract: Individual <i>Plum pox virus</i> strain M infections were monitored visually during one to 3 years in 18 peach plots. The spatial pattern of the disease was investigated using binary data directly or after parsing the data in quadrats of 4, 9 or 16 trees. Ordinary runs demonstrated minimal aggregation of adjacent symptomatic trees. Beta-binomial analysis indicated overdispersion of infected trees for all quadrat sizes in 15 plots and the binary power law showed that intensity of aggregation was a function of incidence. Spatial relationships among quadrats were evaluated by spatial autocorrelation and SADIE analysis. The two methods were in good agreement and showed significant aggregation in a majority of data sets. Local areas of influence of PPV spread and relationships at longer distances were further investigated. Combined results indicated a wide range of spatial patterns of PPV-M infected trees. Factors that may have influenced such patterns, like the mechanisms of primary disease introduction, the diversity of aphid species and the structure of the orchards will be discussed.

Last Modified: 4/22/2015
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