2011
DOI: 10.1007/s10681-011-0416-z
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Genetic diversity, structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers

Abstract: It is important to couple phenotypic analysis with genetic diversity for germplasm conservation in gene bank collections. The use of molecular markers supports the study of genetic marker-trait associations of biological and agronomic interest on diverse genetic material. In this report, 19Greek traditional sweet cherry cultivars and two international cultivars, which were used as controls, were grown in Greece and characterized for 17 morpho-physiological traits, 15 simple sequence repeat (SSR) loci and 10 in… Show more

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Cited by 96 publications
(55 citation statements)
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“…In a similar study, association analysis of SSR and ISSR markers with fruit characteristics in sweet cherry cultivars revealed 14 SSR alleles negatively or positively correlated with different morphological traits by using MRA (Ganopoulos et al, 2011). In addition, three ISSR markers were identified to be correlated with fruit harvest time and soluble solids and four ISSR markers were found to be correlated with fruit skin color.…”
Section: Discussionmentioning
confidence: 75%
“…In a similar study, association analysis of SSR and ISSR markers with fruit characteristics in sweet cherry cultivars revealed 14 SSR alleles negatively or positively correlated with different morphological traits by using MRA (Ganopoulos et al, 2011). In addition, three ISSR markers were identified to be correlated with fruit harvest time and soluble solids and four ISSR markers were found to be correlated with fruit skin color.…”
Section: Discussionmentioning
confidence: 75%
“…The most important traits that were included in our developed database were identified by the PCA analysis, which, in this case, allows the multivariate statistical analysis of a large number of variables (Ganopoulos et al, 2015;Ganopoulos et al, 2011). The initial variables were transformed to a decreased number of uncorrelated ones in order to reduce the data, allowing relationships between the individuals and variables to be sufficiently revealed.…”
Section: Multivariate Analysis Of Qualitative Variables: Pca and Ahc mentioning
confidence: 99%
“…In turn, germplasm characterization facilitates the identification of important phenotypic traits. These traits are commonly linked to genetic data and their use is crucial for breeding programs (Ganopoulos et al, 2015;Ganopoulos et al, 2011). Therefore, the clustering analysis and PCA are key tools to group and evaluate cultivars preserved in GeneBank collections (Iezzoni and Pritts, 1991).…”
Section: Multivariate Analysis Of Qualitative Variables: Pca and Ahc mentioning
confidence: 99%
“…The distinctiveness among the cherry accessions in breeding and cultivation is fairly important for scientific as well as economic reasons (Struss et al, 2003;Ganopoulos et al, 2011). Cherry production is carried out in the Central Anatolia and Marmara regions, which are suitable regions due to the long harvest time and abundant sunshine (Asma, 2000).…”
Section: Introductionmentioning
confidence: 99%