DNA‐Based Identification of Clonally Propagated Cultivars

Nybom, Hilde; Weising, Kurt

doi:10.1002/9780470880579.ch6

Cited by 18 publications

(13 citation statements)

References 260 publications

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“…Unfortunately, up to 30% of this material is, in all likelihood, mislabeled according to the molecular data. Similarly high levels of identification problems have been reported from other gene banks with clonally propagated crops (reviews in Nybom and Weising 2010;van Treuren et al 2010), clearly demonstrating the need for proper molecular marker-based identification as a useful approach for all phenotyping projects. Similar work is performed at ACW in Switzerland.…”

Section: Molecular Markersmentioning

confidence: 67%

European pome fruit genetic resources evaluated for disease resistance

Kellerhals

Szalatnay

Hunziker

et al. 2011

Trees

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Pome fruit genetic resources collections constitute a highly valuable resource not only for fruit breeding but also for direct use by nurseries, growers, and home gardeners. In order to use these resources efficiently and sustainably, reliable evaluation data on fruit and tree characteristics must be generated. Here we focus on pome fruit genetic resources evaluated phenotypically and genotypically for susceptibility to apple scab (Venturia inaequalis), powdery mildew (Podosphaera leucotricha), fire blight (Erwinia amylovora), pear rust (Gymnosporangium sabinae) and storage diseases (e.g., Penicillium expansum). Examples are presented of several ongoing projects throughout Europe, with the aim to evaluate fruit genetic resources for disease susceptibility and potential use in breeding and for commercial use. The COST action 864 has fostered international cooperation in the evaluation of pome fruit genetic resources, and some of these evaluations therefore involve research groups from several of the participating countries.

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Section: Molecular Markersmentioning

confidence: 67%

European pome fruit genetic resources evaluated for disease resistance

Kellerhals

Szalatnay

Hunziker

et al. 2011

Trees

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“…SSR markers, in particular, are more useful due to their reproducibility, codominance, polymorphism and transferability among related species and genera. They help in resolving the differences that arise due to widespread crossability and susceptibility of characters to phenotypic plasticity in the presence of environmental variation (Nybom and Weising 2010).…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity and structure of Pyrus accessions of Indian Himalayan region based on morphological and SSR markers

Rana

Chahota

Sharma

et al. 2014

Tree Genetics & Genomes

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Genetic diversity and phylogenetic relationships among 48 pear accessions belonging to six species were determined using 23 morphological traits and 20 simple sequence repeat (SSR) primers. To assess the genetic diversity, data on morphological (both quantitative and qualitative) traits were recorded during 2010-2012 using standard pear descriptors. It was observed that the traits ratio of fruit length to diameter, persistency of calyx on mature fruits and fruit surface and pulp texture were important in detecting variation across pear species. At molecular level, 20 SSR primers amplified 190 polymorphic alleles with an average of 9.5 alleles per primer. Size of amplified alleles ranged from 85 to 450 bp. Mean polymorphic information content (PIC) was 0.80 showing high level of SSR polymorphism. Bayesian model-based STRUCTURE analysis assigned genotypes into five clusters and also showed the extent of admixture within individuals. Genotypes belonging to Pyrus pyrifolia were clustered into two different clusters indicating broad genetic base for this species while Pyrus communis genotypes appeared to have conserved genetic makeup. Dendrogram-based on Jaccard's similarity coefficient and neighbor-joining tree showed two major groups of Asiatic (P. pyrifolia, Pyrus pashia, Pyrus serotina and Pyrus jacquemontiana) and European (P. communis) pears. However, accessions belonging to P. pyrifolia were further divided into subgroups. Cluster analysis based on morphological traits was in agreement with the dendrogram and structure clusters obtained with SSR data. The Mantel matrix correspondence test was used to further compare the molecular and morphological similarity matrices and positive correlation coefficient (r=0.164; P=0.001) was observed. Results of this study present important information about genetic structure of Indian pear accessions which can contribute significantly to future breeding and improvement programmes in this species.

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“…Molecular markers, especially Simple Sequence Repeats (SSR), are commonly used for quantification of the amount of diversity in national collections of various plant crops (Nybom and Weising, 2010). SSR markers have thus been widely used for evaluation of genetic diversity and genetic relatedness in apple germplasm collections (Guarino et al, 2006;Pereira-Lorenzo et al, 2007;Garkava-Gustavsson et al, 2008;Farrokhi et al, 2011;Lacis et al, 2011;Naseri et al, 2011;Patzak et al, 2012).…”

Section: Introductionmentioning

confidence: 99%