Premium
Descriptive assessment of uncertainties of qualitative real‐time PCR for detection of plant pathogens and quality performance monitoring
Author(s) -
Mehle N.,
Dreo T.,
Jeffries C.,
Ravnikar M.
Publication year - 2014
Publication title -
eppo bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.327
H-Index - 36
eISSN - 1365-2338
pISSN - 0250-8052
DOI - 10.1111/epp.12166
Subject(s) - quality (philosophy) , accreditation , process (computing) , computer science , phytoplasma , microbiology and biotechnology , biology , medicine , polymerase chain reaction , medical education , genetics , restriction fragment length polymorphism , operating system , philosophy , epistemology , gene
In most cases, plant pest diagnostic methods are interpreted as providing qualitative data. However, although qualitative, it is still important to identify all the sources and components of uncertainty in the diagnostic process and to ensure that appropriate measures are taken to reduce the uncertainty and that the form of reporting the result does not give the wrong impression of the uncertainty. This process was illustrated using real‐time PCR testing of grapevine yellows phytoplasma. Some additional quality performance monitoring of real‐time PCR is also described. This approach has been used by the National Institute of Biology, Slovenia, since 2012, in support of accreditation under ISO 17025, and it can also be applied to other detection methods and other pests.