9 research outputs found

    A parentage study of closely related Ukrainian wine grape varieties using microsatellite markers

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    Four bred grapevine varieties released for commercial cultivation in Ukraine, namely ‘Antey Magarachskii’, ‘Rubinovyi Magaracha’, ‘Granatovyi Magaracha’ and ‘Rubin Golodrigi’, and their putative parental forms were genotyped using six microsatellite loci.Четыре селекционных сорта винограда Антей Магарачский, Рубиновый Магарача, Рубин Голодриги и Гранатовый Магарача, которые культивируются в Украине для приготовления сухих и крепленых вин, и их предполагаемые родительские формы были генотипированы с использованием шести микросателлитных локусов.Чотири селекційних сорти винограду Антей Магарацький, Рубіновий Магарача, Рубін Голодриги та Гранатовий Магарача, що культивують в Україні для приготування сухих і десертних вин, та їх потенційні батьківські форми були генотиповані з використанням шести мікросателітних локусів

    Application of Standard Methods for the Grapevine (Vitis vinifera L.) Phenotypic Diversity Exploration : Phenological Traits

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    In the framework of the COST Action FA1003-'GRAPENET: East-West Collaboration for Grapevine Diversity Exploration and Mobilization of Adaptive Traits for Breeding'-common phenotyping methods have been proposed to characterize germplasm accessions. The protocols aimed at the description of traits of interest for the cultivars exploitation. In particular, phenological and enocarpological methods were selected. This paper will focus on the phenological records. The extended BBCH scale was selected and adapted to our scope

    Identification and characterization of grapevine Genetic Resources maintained in Eastern European collections

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    The Near East and the Caucasus regions are considered as gene and domestication centre for grapevine. In an earlier project "Conservation and Sustainable Use of Grapevine Genetic Resources in the Caucasus and Northern Black Sea Region" (2003-2007) it turned out that 2,654 accessions from autochthonous cultivars maintained by Armenia, Azerbaijan, Georgia, Moldova, Russian Federation and Ukraine in ten grapevine collections may belong to 1,283 cultivars. But trueness to type assessment by morphology and genetic fingerprinting still needed to be done. In COST Action FA1003 a first step in that direction was initiated. The following countries participated: Albania, Armenia, Austria, Azerbaijan, Bulgaria, Croatia, Georgia, Hungary, Latvia, Moldova, Romania, Slovakia, Slovenia and Ukraine. Mainly Vitis vinifera accessions (1098 samples) and 76 Vitis sylvestris individuals were analyzed by nine SSR-markers (VVS2, VVMD5, VVMD7, VVMD25, VVMD27, VVMD28, VVMD32, VrZag62, VrZag79). Cultivar identity confirmation/rejection was attempted for 306 genotypes/cultivars by comparison of the generated genetic profiles with international SSR-marker databases and ampelographic studies. The outcome proved unambiguously the necessity of morphologic description and photos (a) for comparison with bibliography, (b) for a clear and explicit definition of the cultivar and (c) the detection of sampling errors and misnomers. From the 1,098 analyzed accessions, 997 turned out to be indigenous to the participating countries. The remaining 101 accessions were Western European cultivars. The 997 fingerprints of indigenous accessions resulted in 658 unique profiles/cultivars. From these 353 (54 %) are only maintained in the countries of origin and 300 (46 %) unique genotypes exist only once in the Eastern European collections. For these 300 genotypes duplicate preservation needs to be initiated. In addition, the high ratio of non redundant genetic material of Eastern European origin suggests an immense unexplored diversity. Documentation of the entire information in the European Vitis Database will assist both germplasm maintenance and documentation of cultivar specific data

    A parentage study of closely related ukrainian wine grape varieties using microsatellite markers

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    International audienceFour bred grapevine varieties released for commercial cultivation in Ukraine, namely ‘Antey Magarachs_ kii’, ‘Rubinovyi Magaracha’, ‘Granatovyi Magaracha’ and ‘Rubin Golodrigi’, and their putative parental forms were genotyped using six microsatellite loci. Genotypes were compared with breeding records to verify genetic rela_ tionships among varieties. Results of the analysis confirmed four of six parent_offspring relationships. Results of the analysis allow to assume that genotype ‘Seyve Villard 20347’ is the direct parent of ‘Antey Magarachskii’ instead of its grandparent. The first_studied accession believed to be that of ‘Granatovyi Magaracha’ was identified as impurity.In order to verify the parentage of ‘Granatovyi Magaracha’, rest accessions of that variety and its putative parent ‘Antey Magarachskii’ were additionally genotyped at 13 nuclear loci and at three chloroplast loci. The parent_off_ spring relationship was confirmed, as all ‘Granatovyi Magaracha’ accessions had a common allele with the parent variety ‘Antey Magarachskii’ at each locus and the same chlorotype A. Different ‘Granatovyi Magaracha’ accessions could have been obtained via vegetative propagation of two seedlings which arose from one crossing

    First results of the European grapevine collections' collaborative network: Validation of a standard eno-carpological phenotyping method

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    A standard protocol for phenotyping structural and compositional aspects of the grape berry has been adopted by 18 East and West European germplasm collections during one season by testing a total of 469 accessions, including reference cultivars as well as local and minor germplasm accessions of specific interest. The protocol consists in the collection of triplicates for 26 phenotypic traits, from biological samples, each formed by 10 berries collected from 9 representative bunches from every analyzed accessions. The protocol concatenates the data from measurements and acquisitions, with the objective to generate new derived variables, which are expressed with different units (%; content per kg of grapes, per berry, per g of tissue). For each variable, the Least Significant Differences (LSD), to contrast a pair of single accession mean values, and the Confidence Intervals (CI), to estimate each single accession mean value, were computed. The application of the protocol revealed satisfactory results with high accuracy and efficiency in estimation of phenotypic traits of each accession. The whole data set will be useful for researchers, breeders and viticulturists in yield evaluation of grapevine cultivars, as well as in comparative analyses of environment-variety interaction
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