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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Plant Methods
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2017
Aiheet:
Methodology Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5530534/
https://ncbi.nlm.nih.gov/pubmed/28769997
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-017-0212-4
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