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Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat


Type:
Article
Title:
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
Author:
Pérez-Rodríguez, P.;
Pérez-Rodríguez, P.
ORCID iD iconhttps://orcid.org/0000-0002-3202-1784
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Gianola, D.;
Gonzalez-Camacho, J.M.;
Gonzalez-Camacho, J.M.
ORCID iD iconhttps://orcid.org/0000-0001-5479-7316
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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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Manes, Y.;
Dreisigacker, S.
ORCID iD icon
Dreisigacker, S.
ORCID iD iconhttps://orcid.org/0000-0002-3546-5989
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Year:
2012
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:
G3: Genes, Genomes, Genetics
Journal volume:
2
Journal issue:
12
Pages:
1595-1605
DOI:
10.1534/g3.112.003665
Publisher:
Genetics Society of America
Citation:
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat. 2012. Pérez-Rodríguez, P.; Gianola, D.; Gonzalez-Camacho, J.M.; Crossa, J.; Manes, Y.; Dreisigacker, S. 2 (12) DOI: 10.1534/g3.112.003665 Genetics Society of America.
Publisher URI:
http://www.g3journal.org/content/2/12/1595.full

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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