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Genomic prediction in a large African maize population


Type:
Article
Title:
Genomic prediction in a large African maize population
Author:
Edriss, V.;
Edriss, V.
ORCID iD iconhttps://orcid.org/0000-0003-4361-091X
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Yanxin Gao;
Yanxin Gao
ORCID iD iconhttps://orcid.org/0000-0003-2226-3576
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Zhang, X.;
ORCID iD icon
Zhang, X.
ORCID iD iconhttps://orcid.org/0000-0001-5498-6387
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Jumbo, M.B.;
ORCID iD icon
Jumbo, M.B.
ORCID iD iconhttps://orcid.org/0000-0001-5912-3046
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Makumbi, D.;
ORCID iD icon
Makumbi, D.
ORCID iD iconhttps://orcid.org/0000-0002-1801-5986
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Olsen, M.;
ORCID iD icon
Olsen, M.
ORCID iD iconhttps://orcid.org/0000-0002-8818-6238
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Crossa, J.;
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Packard, K.C.;
Jannink, J.L.
Jannink, J.L.
ORCID iD iconhttps://orcid.org/0000-0003-4849-628X
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Year:
2017
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, p
Journal:
Crop Science
Journal volume:
57
Pages:
2361-2371
DOI:
10.2135/cropsci2016.08.0715
Place of Publication:
USA
Publisher:
Crop Science Society of America (CSSA)
Citation:
Genomic prediction in a large African maize population. 2017. Edriss, V.; Yanxin Gao; Zhang, X.; Jumbo, M.B.; Makumbi, D.; Olsen, M.; Crossa, J.; Packard, K.C.; Jannink, J.L. 57 DOI: 10.2135/cropsci2016.08.0715 Crop Science Society of America (CSSA).

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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