2018
DOI: 10.1007/s10658-018-1509-5
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Performance of diagnostic tests for the detection and identification of Pseudomonas syringae pv. actinidiae (Psa) from woody samples

Abstract: The aim of this study was to characterise the performance of new molecular methods for the detection and identification of Pseudomonas syringae pv. actinidiae (Psa) and to provide validation data in comparison to the assays mentioned in official diagnostic protocols and being currently used. Eleven molecular tests for the Psa detection were compared in an interlaboratory comparison where each laboratory had to analyse the same panel of samples consisting of thirteen Psa-spiked kiwifruit wood extracts. Laborato… Show more

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Cited by 13 publications
(11 citation statements)
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“…47 and Loreti, et al . 48 . The first scenario considered that an indeterminate result would be further assessed by the laboratory, and would always be rated “as expected” (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…47 and Loreti, et al . 48 . The first scenario considered that an indeterminate result would be further assessed by the laboratory, and would always be rated “as expected” (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…The molecular tests for screening recommended below have been selected based on test performance study results reported in Loreti et al (2018) except for the LAMP Ruinelli et al (2017). DNA extraction is described in Appendix .…”
Section: Detectionmentioning
confidence: 99%
“…Two test performance studies showed that isolation has a lower analytical and diagnostic sensitivity than the molecular tests (Loreti et al, 2014, 2018).…”
Section: Detectionmentioning
confidence: 99%
“…In recent decades, rapid, specific and sensitive DNAbased methods have been made available for the detection of pathogens in plant material (Vincelli and Tisserat 2008). PCR and its variations, such as BIO-PCR and real-time PCR (qPCR), have become in many cases the standard methods for the detection and identification of phytopathogenic bacteria (Palacio-Bielsa et al 2009;Bull and Koike 2015;Loreti et al 2018).…”
Section: Introductionmentioning
confidence: 99%