BIO Web Conf.
Volume 13, 2019CO.NA.VI. 2018 - 7° Convegno Nazionale di Viticoltura
|Number of page(s)||4|
|Section||Genetic Improvements and “Omic” Analyses|
|Published online||01 April 2019|
Identification of disease resistance-linked alleles in Vitis vinifera germplasm
Department of Genomics and Biology of Fruit Crops, Research and Innovation Centre, Fondazione Edmund Mach,
Via Mach 1
San Michele all'Adige (Trento), Italy
2 Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, Via Mach 1 38010 San Michele all'Adige (Trento), Italy
3 Department of Agricultural and Environmental Sciences − DiSAA, University of Milano, Via Celoria 2 20133 Milano, Italy
4 Center Agriculture Food Environment − C3A, University of Trento, Via Mach 1 38010 San Michele all'Adige (Trento), Italy
* Corresponding author: firstname.lastname@example.org
Introgression of genetic resistance to fungal diseases from American and Asian Vitis species traditionally pursued in grape breeding programs, although facilitated by molecular tools, has an impact on wine quality that still slows down development of competitive varieties. A contribution to the genetic improvement of grapevines for resistance to pathogens may come from unexplored genetic resources of the Eurasian Vitis vinifera L. In the present study, a hundred grapevine accessions from Georgia, Armenia and Azerbaijan were genotyped with SSR markers linked to QTLs for resistance to downy and powdery mildew, and with 21 SSR markers widely used for genetic diversity and relationship analysis. Looking at population genetic structure, Armenian and Azerbaijani accessions fell within the same cluster and were included among the Central Asian grape varieties of a homogeneous dataset, while Georgian accessions formed a separate group. Pattern of SSR alleles flanking the locus Ren1 and associated with resistance to Erysiphe necator in 'Kishmish vatkana', 'Dzhandzhal kara' and other Central Asian cultivars were found in three varieties from the Azerbaijani population that reached very high scores when assessed for PM resistance.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.