<p>Improving potato breeding with computational and functional genomics</p>

Konrad Zych; Chris A Maliepaard; Roeland E Voorrips; Gerrit Gort; Nick de Vetten; Johan CP Hopman; Jan M de Haas; Michiel Noback; Ronald Wedema; Jan-Peter Nap; Ritsert C Jansen

doi:10.7490/f1000research.1113020.1

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Zych K, Maliepaard CA, Voorrips RE et al. Improving potato breeding with computational and functional genomics [version 1; not peer reviewed]. F1000Research 2016, 5:2186 (poster) (https://doi.org/10.7490/f1000research.1113020.1)

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Improving potato breeding with computational and functional genomics

Konrad Zych¹, Chris A Maliepaard , Roeland E Voorrips, Gerrit Gort, Nick de Vetten, Johan CP Hopman, Jan M de Haas, Michiel Noback, Ronald Wedema, Jan-Peter Nap, Ritsert C Jansen

Published 03 Sep 2016 (https://doi.org/10.7490/f1000research.1113020.1)

Author Affiliations

¹ University of Groningen, The Netherlands

Copyright © 2016 Zych K et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Sep 2016

Improving potato breeding with computational and functional genomics
[version 1; not peer reviewed]

Konrad Zych¹, Chris A Maliepaard , Roeland E Voorrips, Gerrit Gort, Nick de Vetten, Johan CP Hopman, Jan M de Haas, Michiel Noback, Ronald Wedema, Jan-Peter Nap, Ritsert C Jansen

Author Affiliations

¹ University of Groningen, The Netherlands

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

de Vetten N and Hopman JCP are employed by Averis Seeds, de Haas JM is employed by HZPC

Keywords

Potato genomics, gwas, qtl, marker assisted selection, breeding

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