Utilize este identificador para referenciar este registo: http://hdl.handle.net/10348/8644
Título: A comparative analysis of genetic diversity in Portuguese grape germplasm from ampelographic collections fit for quality wine production
Autor: Castro, Isaura Alberta Oliveira De
Pinto-Carnide, Olinda
Ortiz, Jesús M.
Ferreira, Vanessa
Martín, Juan P.
Palavras-chave: Vitis vinifera L.
Grapevine germplasm collections
Molecular markers
Data: 2016
Resumo: Grapevine cultivars diversity is vast and full of synonyms and homonyms. Up to few decades ago characterization of grapevine was based on morphological characters. In the last decades, molecular markers were developed and have been used as tools to study genetic diversity in a range of different plant species. Fifty-six Portuguese accessions representative of ‘Vinhos Verdes’ and ‘Douro’ Controlled Designations of Origin (DOC) were analysed through DNA fingerprints generated by Random Amplified Polymorphic DNA (RAPD) and Inter Simple Sequence Repeat (ISSR). The study aimed to compare the effectiveness of RAPD and ISSR molecular techniques in the detection of synonyms, homonyms and misnames. RAPD and ISSR analysis enabled the detection of 36 different band patterns, reducing in about 36% the initial material. Several accessions grown under different names, between and within collections, were confirmed as the same genotype, namely Gouveio/Verdelho, Sousão Douro/Vinhão and Arinto Oeste/Pedernã. Similarly, some homonyms/misnames were also identified, namely within Azal Tinto and Rabigato accessions. RAPD and ISSR markers revealed to be adequate molecular techniques for grapevine varieties fingerprinting with advantages over other molecular procedures, contributing for a good management of grapevine collections.
Revisão por Pares: yes
URI: http://hdl.handle.net/10348/8644
ISSN: eISSN: 2171-9292
Tipo de Documento: Artigo
Aparece nas colecções:DGB - Artigo publicado em Revista Científica Indexada

Ficheiros deste registo:
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Castro et al. 8852-35590-1-PB Vol 14, Nº 4 SJAR 2016.pdf2,15 MBAdobe PDFThumbnail

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