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

DOI: 10.1186/s13007-017-0212-4

Keywords: Hyper-spectral data, Genomic information, Genotype × environment interaction, Band × environment interaction, Vegetation indices, Prediction accuracy, Bayesian functional regression, Spline regression, Fourier regression

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Abstract:

Proposed model

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