Optimization of Fire blight scouting with a decision support system based on infection risk

Kuflik, Tsvi; Pertot, I.; Moskovitch, Robert; Zasso, R.; Pellegrini, E.; Gessler, C.

doi:10.1016/j.compag.2007.12.003

Cited by 6 publications

(1 citation statement)

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“…When and what to sample to be able to detect fire blight in a new area as early as possible is still a relevant question (Kuflik et al 2008). It is to be expected that real-time PCR will play a major role in assessing various approaches to sampling both because of its sensitivity and high-throughput.…”

Section: Discussionmentioning

confidence: 99%

Real-time PCR, a method fit for detection and quantification of Erwinia amylovora

Dreo

Pirc

Ravnikar

2012

Trees

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Fire blight, a devastating disease of pome fruit trees continues to pose threat to agricultural production. Detection of its causative agent, bacterium Erwinia amylovora, is usually straightforward in symptomatic samples. Methods with increased sensitivity however, are sometimes needed for detection of E. amylovora and real-time PCR assays have been shown to have required sensitivity and reliability. Here we summarize our previous results on realtime PCR detection of fire blight and present new, fast and sensitive real-time PCR assay based on amsC gene performed on SmartCycler Ò instrument. The setting is optimal for analysis of small number of samples in the laboratory or for on-site detection. Many advantages of real-time PCR assays warrant their use in detection and diagnosis of E. amylovora, particularly in detection of low concentrations of target bacteria e.g. in testing for latent infections. It is to be expected that the use of real-time PCR will increase in both diagnostics and in research, as a tool for target detection and quantification as well as for gene expression analysis.

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Section: Discussionmentioning

confidence: 99%