Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data
Type:
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.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
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Cuevas, J.;
Mata-López, W.A.;
Burgueño, J.;
Mondal, S.;
Huerta-Espino, J.;
https://orcid.org/0000-0001-8334-9862
Scopus ID
Researcher ID
Items in this Repository
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Singh, R. P.;
Autrique, E.;
Gonzalez-Perez, L.;
Crossa, J.
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.


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Cuevas, J.;
Mata-López, W.A.;
Burgueño, J.;

Mondal, S.;

Huerta-Espino, J.;

Huerta-Espino, J.



View
Singh, R. P.;

Autrique, E.;
Gonzalez-Perez, L.;
Crossa, J.

Year:
2017
Copyright:
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Journal:
Plant Methods
Journal volume:
13:62
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.