Prediction assessment of linear mixed models for multienvironment trials

By Juan Burgueño, Jose Crossa, J. M. Cotes, F. S. Vicente, Biswajit Das. 2011

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Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012, methodology): “…interaction can be incorporated into additive infi nitesimal models (e.g., Fisher, 1918; Wright, 1921) by means of genetic and environmental covariances (e.g., Piepho, 1997, 1998, 2009; Smith et al., 2001; Crossa et al., 2004, 2006; Oakey et al., 2006; Burgueño et al., 2007, 2008, 2011).”
Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application (2017, methodology): “This approach has been applied to investigate G×E across multiple environments in barley (Smith et al. 2001), potato (Burgueño et al. 2011), maize (Burgueño et al. 2011) and wheat (Burgueño et al. 2011; Oakey et al. 2006a, b), and also in livestock breeding (Meyer 2009).”