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Increasing genomic-enabled prediction accuracy by modeling genotype × environment interactions in kansas wheat


Type:
Article
Title:
Increasing genomic-enabled prediction accuracy by modeling genotype × environment interactions in kansas wheat
Creator:
Jarquín, D.;
Jarquín, D.
ORCID iD iconhttps://orcid.org/0000-0002-5098-2060
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Lemes da Silva, C.;
Lemes da Silva, C.
ORCID iD iconhttps://orcid.org/0000-0001-7291-4141
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Gaynor, C.;
Gaynor, C.
ORCID iD iconhttps://orcid.org/0000-0003-0558-6656
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Poland, J.A.;
Poland, J.A.
ORCID iD iconhttps://orcid.org/0000-0002-7856-1399
ScopusScopus ID
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Fritz, A.K.;
Fritz, A.K.
ORCID iD iconhttps://orcid.org/0000-0002-3990-5208
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Howard, R.;
Battenfield, S.D.;
Battenfield, S.D.
ORCID iD iconhttps://orcid.org/0000-0002-7785-2223
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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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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, 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:
The Plant Genome
Journal volume:
10
Journal issue:
2
Pages:
1-15
DOI:
10.3835/plantgenome2016.12.0130
Place of Publication:
Madison, WI (USA)
Publisher:
CSSA :; Wiley
Citation:
Increasing genomic-enabled prediction accuracy by modeling genotype × environment interactions in kansas wheat. 2017. 10 (2) DOI: 10.3835/plantgenome2016.12.0130 CSSA :. Wiley.

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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