conference schedule and program with abstracts - Horticulture ...
conference schedule and program with abstracts - Horticulture ...
conference schedule and program with abstracts - Horticulture ...
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P-17<br />
Genetic analysis of wine grape high-quality ripening on the ‘Monastrell’ x ‘Syrah’ progeny<br />
A. Bayo-Canha* 1 , L. Ruiz-García 1 , J.I. Fernández-Fernández 2 , A. Martínez Cutillas 2<br />
1 Dpto. Biotecnología y Protección de Cultivos, c/Mayor s/n Instituto de Investigaciones<br />
Agrarias y Alimentarias IMIDA, Murcia, Spain; 2 Dpto. Viticultura y Enología, c/Mayor s/n<br />
Instituto de Investigaciones Agrarias y Alimentarias IMIDA, Murcia, Spain<br />
*Corresponding author: almudena.bayo@carm.es<br />
The technological (sugar/acid balance) <strong>and</strong> the phenolic ripening (accumulation <strong>and</strong><br />
extractability of grape anthocyanins <strong>and</strong> tannins) have a great relevance in the wine quality. In<br />
order to find genes involved in wine grape high-quality ripening, we are carrying out a genetic<br />
analysis in a F1 progeny segregating for these traits, consisting of 230 hybrids from a cross<br />
between the cultivars ‘Monastrell’ <strong>and</strong> ‘Syrah’. ‘Monastrell’ is a variety widely grown <strong>and</strong> used<br />
in Murcia Region (Southeast of Spain), <strong>and</strong> very well adapted to the dry conditions of the<br />
Mediterranean climate. ‘Syrah’ is used in the same region blended <strong>with</strong> ‘Monastrell’. We<br />
genotyped the 230 offspring for 138 SNP markers (Lijavetzky et al. 2007) <strong>and</strong> 104 SSR markers<br />
scattered all over the 19 linkage groups (LGs). The consensus map contained 229 markers<br />
covering 1180.79 cM, <strong>with</strong> an average distance between loci of 5.16 cM. The female <strong>and</strong> male<br />
genetic maps covered a total length of 1039.66 <strong>and</strong> 1027.20 cM, respectively. Grape quality<br />
traits <strong>and</strong> phenological parameters were evaluated during two consecutives years. QTL analyses<br />
are being carried out using a multiple QTL mapping model (MQM) focused on QTLs previously<br />
detected during the two seasons via simple interval mapping (SIM analysis). Both genome-wide<br />
<strong>and</strong> linkage-group-wide LOD thresholds corresponding to α=0.20 were used as minimum values<br />
for QTL detection. QTLs for sprouting time <strong>with</strong> LOD value higher than genome-wide threshold<br />
(significative QTLs) were consistently detected on LGs 1 <strong>and</strong> 8, explaining between 14% <strong>and</strong><br />
18% of total variance. Other QTLs for veraison time, fertility <strong>and</strong> berry weight were also found.<br />
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