1. ABOUT THE DATASET
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Title: 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.'
Creator(s): Edward Venison, Matthew Ordidge
Organisation(s): University of Reading
Rights-holder(s): Department for Environment, Food & Rural Affairs; University of Reading
Publication Year: 2022
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.
Cite as: Venison, Edward, and Ordidge, Matthew (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
Related Publication: Venison, E., Litthauer, S., Laws, P., Denancé, C., Fernández-Fernández, F., Durel, C.-E. and Ordidge, M.  (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. ISSN 0925-9864 (In Press)

2. TERMS OF USE
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Copyright Department for Environment, Food & Rural Affairs and University of Reading 2022. This dataset is licensed by the rights-holder(s) under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.

3. PROJECT AND FUNDING INFORMATION
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Title: The Long Term Housing, Maintenance and Scientific Curation of the National Fruit Collections 
Dates: April 2014-
Funding organisation: Defra
Grant no.: GC0147

4. CONTENTS
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UK_NFC_SSR_all_data_apple_2022.csv
Data are presented in the form of an Excel spreadsheet and are SSR alleles, called and rounded to the nearest base pair using Genemapper software.

5. METHOD and PROCESSING
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For data collection method see: Venison, E., Litthauer, S., Laws, P., Denancé, C., Fernández-Fernández, F., Durel, C.-E. and Ordidge, M.  (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. ISSN 0925-9864 (In Press)