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Testing a Rapid Diagnostic Medium for Erwinia amylovora and Development of a Procedure for Sampling Blossoms in Pear Orchards

First, second, fourth, fifth, and eighth authors: Department of Plant Pathology; and third author: Department of Statistics, ARO, the Volcani Center; Bet Dagan 50250, Israel; and sixth and seventh authors: Extension Service, Ministry of Agriculture, Bet Dagan 50250, Israel

The coliform agar produced by Merck was tested for rapid diagnosis of Erwinia amylovora (the causal agent of fire blight) in pear blossoms. The medium enabled the diagnosis to be completed within 36 h. Diagnoses performed with the medium were confirmed by the BIOLOG and the fatty-acid profile methods. The diagnostic medium was used to determine the spatial distribution of colonized blossoms in the orchards and it was found that E. amylovora may be distributed both in clusters and at random. These findings were used in the development of a statistical model for sampling blossoms in the orchard. The model determines the number of trees to be sampled in the orchard and the number of blossoms be taken from each tree, which would enable the true colonization incidence of blossoms in the orchard to be estimated at desired levels of accuracy and confidence. Parameters included in the model are: the total number of trees in the orchard (T), the number of trees to be sampled in the orchard (t), the number of blossoms to be sampled from each tree (n), the true colonization incidence of blossoms (π), a coefficient of aggregation (ρ), the required level of confidence (1 - α), and the required level of accuracy (L). Sensitivity analyses revealed that the parameter governing sample size is the required level of accuracy. Sampling of 20 blossoms from each of several hundred trees is required to achieve an accuracy of ±1%, but only a few single trees are needed for an accuracy level of ±10%. A sampling procedure then was developed, validated with an independent data set, and found to be accurate. It was concluded that sampling of pear blossoms and estimation of the incidence of blossom colonization by E. amylovora could improve fire blight management, but not in all cases.

Additional keywords: diagnosis, integrated pest management, sampling model.