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The aim of this paper was to find possible link between molecular and morphological similarities of 38 Hungarian white grape varieties. Three aspects of morphological and molecular similarity were assessed in the study: comparison of the ordered variety pairs, assessment of molecular and morphological mean similarity differences and separation of varieties into similar groups by divisive cluster analysis to define (DIANA). Molecular similarity was calculated from binary data based on allele sizes obtained in DNA analysis. DNA fingerprints were determined at 9 SSR loci recommended by the European GrapeGen06 project. Morphological similarity was calculated on the basis of quantitative morphological descriptors. Morphological and molecular similarity values were ordered and categorized after pairwise comparison. Overall correlation was found to be weak but case by case assessment of the variety pairs confirmed some coincidence of molecular and morphological similarity. General similarity position of each variety was characterized by Mean Similarity Index (MSI). It was calculated as the mean of n-1 pair similarity values of the variety concerned. Varieties were ordered and compared by the difference of the index. Five varieties had low morphological and high molecular MSI meaning that they share several SSR marker alleles with the others but seems relatively distinct according to the expression of their morphological traits. Divisive cluster analysis was carried out to find similar groups. Eight and twelve cluster solutions proved to be sufficient to distinct varieties. Morphological and molecular similarity groups partly coincided according to the results. Several clusters reflected parent offspring relations but molecular clustering gave more realistic results concerning pedigree.

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maize single cross hybrid performance anda genetic distances (GD) computed from AFLP and SSR markers. Euphytica, 130(1): 87–99. Souza A.P. Relationship of intra-and interpopulation

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genetic diversity among bread wheat cultivars ( Triticum aestivum L.) using SSR markers . J. Agric. Sci. 5 : 122 – 129 . Eivazi , A.R. , Naghavi , M.R. , Hajheidari , M

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Aranzana, M. J., Cosson, P., Dirlewanger, E., Ascasibar, J., Cipriani, G., Arús, P., Testolin, R., Abbott, A., King, G. J. and Iezzoni, A. F. (2003): A set of simple-sequence repeat (SSR) markers covering the

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Aranzana, M., Pineda, A., Cosson, P., Dirlewanger, E., Ascasibar, J., Cipriani, G., Ryder, C., Testolin, R., Abbott, A., King, G. J., Iezzoni, A. F., Arús, P. (2003): A set of simple-sequence repeat (SSR) markers covering the Prunus genome. Theor. Appl

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Cereal Research Communications
Authors: M.Z. Islam, M.A. Siddique, N. Akter, M.F.R.K. Prince, M.R. Islam, M. Anisuzzaman, and M.A.K. Mian

. Kumar , P. , Sharma , V.K. , Prasad , B.D. 2015 . Characterization of maintainer and restorer lines for wild abortive cytoplasmic male sterility in indica rice ( Oryza sativa L.) using pollen fertility and microsatellite (SSR) markers

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Kuleung, C., Baenziger, P.S., Dweikat, I. 2004. Transferability of SSR markers among wheat, rye, and triticale. Theor. Appl. Genet. 108 :1147–1150. Dweikat I. Transferability of SSR

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., Colmer, T.D., Anderson, J.M., Francki, M.G. 2005. EST-Derived SSR markers from defined regions of the wheat genome to identify Lophopyrum elongatum -specific loci. Genome 48: 811–822. Francki M

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.S. 2010 . Characterization of D/R chromosome segregant lines from triticale×bread wheat crosses using chromosome specific SSR markers . Wheat Inf. Serv. 110 : 19 – 23 . Gupta , P

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with Simple Sequence Repeat (SSR) markers. Theor. Appl. Genet. , 105 , 229–236. Bennetzen J. L. Genetic diversity of Eritrean sorghum landraces assessed with Simple

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