How to cite this Dataset
Venison, Edward and Ordidge, Matt (2022): Simple Sequence Repeat (SSR) fingerprint data for apples from the National Fruit Collection as used in the article 'Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple'. University of Reading. Dataset. https://doi.org/10.17864/1947.000351
This is the latest version of this item.
Description
Data are simple sequence repeat (SSR) genetic fingerprints of the accessions in the apple collection of the National Fruit Collection, Brogdale, UK. The data are called and rounded allele scores, recorded by marker to the nearest base pair. A number of alleles were adjusted based on either rescoring and/or recalling of the original data files using Genemapper software and/or reproduction of fingerprints following the protocols as described in Venison et al. (2022), 'Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple', Genetic Resources and Crop Evolution (In Press).
Resource Type: | Dataset |
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Creators: | Venison, Edward |
Contributors: | Fernandez-Fernandez, Felicidad |
Rights-holders: | Department for Environment, Food and Rural Affairs |
Data Publisher: | University of Reading |
Publication Year: | 2022 |
Data last accessed: | 7 September 2024 |
DOI: | https://doi.org/10.17864/1947.000351 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/351 |
Organisational units: | Life Sciences > School of Agriculture, Policy and Development > Department of Crop Science |
Participating Organisations: | University of Reading, East Malling Research |
Keywords: | National Fruit Collection, apple, genetic fingerprint, SSR |
Rights: | |
Data Availability: | OPEN |