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

BACKGROUND: Modern agriculture uses hyperspectral cameras that provide hundreds of reflectance data at discrete narrow bands in many environments. These bands often cover the whole visible light spectrum and part of the infrared and ultraviolet light spectra. With the bands, vegetation indices are c...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Abelardo, Montesinos-López, Osval A., Cuevas, Jaime, Mata-López, Walter A., Burgueño, Juan, Mondal, Sushismita, Huerta, Julio, Singh, Ravi, Autrique, Enrique, González-Pérez, Lorena, Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530534/
https://www.ncbi.nlm.nih.gov/pubmed/28769997
http://dx.doi.org/10.1186/s13007-017-0212-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530534/
https://www.ncbi.nlm.nih.gov/pubmed/28769997
http://dx.doi.org/10.1186/s13007-017-0212-4

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