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Approximate genome-based kernel models for large data sets including main effects and interactions


Type:
Article
Title:
Approximate genome-based kernel models for large data sets including main effects and interactions
Creator:
Cuevas, J.;
Cuevas, J.
ORCID iD iconhttps://orcid.org/0000-0002-0685-2867
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Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Martini, J.W.R.;
Martini, J.W.R.
ORCID iD iconhttps://orcid.org/0000-0003-0628-6794
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Perez-Rodriguez, P.;
Perez-Rodriguez, P.
ORCID iD iconhttps://orcid.org/0000-0002-3202-1784
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Lillemo, M.;
Lillemo, M.
ORCID iD iconhttps://orcid.org/0000-0002-8594-8794
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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:
2020
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:
Frontiers in Genetics
Journal volume:
11
Article number:
567757
DOI:
10.3389/fgene.2020.567757
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Approximate genome-based kernel models for large data sets including main effects and interactions. 2020. 11 DOI: 10.3389/fgene.2020.567757 Frontiers.

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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