. (2017): Genetic variability and morphology of tri-and tetraploid members of the Sorbus aria complex in northern Bavaria. -Preslia 89: 275-290.The Sorbus aria complex in the Franconian Jura, northern Bavaria, consists of the sexual diploid S. aria s. str. and putative apomictic polyploids, among them S. collina and S. danubialis. Here, the genetic and cytotypic structure of the S. aria complex and the proportion of clonal versus variable genotypes with a special focus on S. collina are studied using nuclear microsatellite markers, flow cytometry and multivariate morphometrics. In the Franconian Jura the tetraploid S. collina is the most frequent taxon in the S. aria complex. It consists of six closely related clones and a high number of unique genotypes, which were found in 70% of the populations studied. Morphologically, most of the clones and the unique tetraploid genotypes are not significantly differentiated. Therefore, all of them could be assigned to S. collina. Mechanisms that could result in the high number of genotypes within S. collina are accumulations of mutations, remnant sexuality, multiple polyploidization events and backcrossing. The results show that S. collina is a genetically quite variable facultative apomictic taxon. Triploids were identified sporadically and the microsatellites pointed to an origin from repeated hybridization events between diploid S. aria s. str. and S. collina. K e y w o r d s:

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Sampling of biological and environmental vouchers in the field is rather challenging, particularly under adverse habitat conditions and when various activities need to be handled simultaneously. The workflow described here includes five procedural steps, which result in professional sampling and the generation of universally identifiable data. In preparation for the field campaign, sample containers need to be labelled with universally unique identifier (UUID)-QR-codes. At the collection site, labelled containers, sampled material and attached supplementary information are imaged using a GNSS- respectively GPS-enabled smartphone or camera. Image processing, tagging and data storage as CSV text file is subsequently achieved in a field station or laboratory. For this purposes, the newly implemented tool DiversityImageInspector (URL: http://diversityworkbench.net/Portal/DiversityImageInspector) is used. It addresses combined image and data processing in such a context including the extraction of the QR-coded UUID from the image content and the extraction of geodata and time information from the Exif image header. The import of the resulting data files into a relational database or other kind of data management systems is optional but recommended. If applied, the import might be guided by a data transformation tool with compliant schema as described here. The new approach is discussed also with regard to implications for virtual research environments and data publication networks. Database URL: http://diversityworkbench.net/Portal/DiversityImageInspector

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