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Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data


Type:
Article
Title:
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data
Author:
Montesinos-López, A.;
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Cuevas, J.;
Cuevas, J.
ORCID iD iconhttps://orcid.org/0000-0002-0685-2867
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Mata-López, W.A.;
Mata-López, W.A.
ORCID iD iconhttps://orcid.org/0000-0002-8107-2182
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Burgueño, J.;
ORCID iD icon
Burgueño, J.
ORCID iD iconhttps://orcid.org/0000-0002-1468-4867
ScopusScopus ID
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Mondal, S.;
ORCID iD icon
Mondal, S.
ORCID iD iconhttps://orcid.org/0000-0002-8582-8899
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Huerta-Espino, J.;
ORCID iD icon
Huerta-Espino, J.
ORCID iD iconhttps://orcid.org/0000-0001-8334-9862
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Singh, R. P.;
ORCID iD icon
Singh, R. P.
ORCID iD iconhttps://orcid.org/0000-0002-4676-5071
ScopusScopus ID
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Autrique, E.;
Gonzalez-Perez, L.;
Gonzalez-Perez, L.
ORCID iD iconhttps://orcid.org/0000-0002-5840-0803
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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
URI:
http://hdl.handle.net/10883/19108
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:
Plant Methods
Journal volume:
13:62
DOI:
10.1186/s13007-017-0212-4
Place of Publication:
United Kingdom
Publisher:
BioMed Central
Citation:
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data. 2017. Montesinos-López, A.; Montesinos-Lopez, O.A.; Cuevas, J.; Mata-López, W.A.; Burgueño, J.; Mondal, S.; Huerta-Espino, J.; Singh, R. P.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J. 13:62 DOI: 10.1186/s13007-017-0212-4 BioMed Central.

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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