Detection of Peach latent mosaic viroid by PCR
P. Ryšánek,
M. Zouhar and
M. Hassan
Additional contact information
P. Ryšánek: 65 21 Prague-Suchdol, Czech Republic *
M. Zouhar: 65 21 Prague-Suchdol, Czech Republic *
M. Hassan: 65 21 Prague-Suchdol, Czech Republic *
Plant Protection Science, 2002, vol. 38, issue SI2-6thConfEFPP, 249-251
Abstract:
Peach latent mosaic viroid (PLMVd) is widespread in peach all over the world. It has never been reported from the Czech Republic. That is why we adapted specific and sensitive method for its detection, PCR, to be able to prove its possible occurrence and for certification purposes. Primers PLMVdR, PLMVdF1 and PLMVdF2 were designed on the basis of published RNA sequences. Products of amplification are 208 and 114 bp long for PLMVdF1 and PLMVdF2, respectively. Four PLMVd isolates from Dr Di Serio (CNR Bari) were used as standards. Potato spindle tuber viroid and Hop latent viroid infected plant material and also healthy material were used to check detection specifity. Both RNA extraction from plant material and PCR were optimalized so that this method of PLMVd detection can also be used for certification purposes.
Keywords: PLMVd; PCR; peach; certification (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://pps.agriculturejournals.cz/doi/10.17221/10458-PPS.html (text/html)
http://pps.agriculturejournals.cz/doi/10.17221/10458-PPS.pdf (application/pdf)
free of charge
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpps:v:38:y:2002:i:si2-6thconfefpp:id:10458-pps
DOI: 10.17221/10458-PPS
Access Statistics for this article
Plant Protection Science is currently edited by Ing. Eva Karská, (Executive Editor PPS)
More articles in Plant Protection Science from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().