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Predicting hybrid performances for quality traits through genomic-assisted approaches in Central European wheat


Type:
Article
Title:
Predicting hybrid performances for quality traits through genomic-assisted approaches in Central European wheat
Author:
Guozheng Liu;
Yusheng Zhao;
Yusheng Zhao
ORCID iD iconhttps://orcid.org/0000-0001-6783-5182
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Gowda, M.;
ORCID iD icon
Gowda, M.
ORCID iD iconhttps://orcid.org/0000-0003-4434-6364
ScopusScopus ID
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Longin, C.F.H.;
Longin, C.F.H.
ORCID iD iconhttps://orcid.org/0000-0002-0737-1651
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Reif, J.C.;
Reif, J.C.
ORCID iD iconhttps://orcid.org/0000-0002-6742-265X
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Mette, M.F.
Year:
2016
URI:
https://hdl.handle.net/10883/19710
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Journal:
PLoS ONE
Journal volume:
11
Journal issue:
7
DOI:
10.1371/journal.pone.0158635
Place of Publication:
United States
Publisher:
Public Library of Science
Citation:
Predicting hybrid performances for quality traits through genomic-assisted approaches in Central European wheat. 2016. Guozheng Liu; Yusheng Zhao; Gowda, M.; Longin, C.F.H.; Reif, J.C.; Mette, M.F. 11 (7) DOI: 10.1371/journal.pone.0158635 Public Library of Science.

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