A relationship matrix including full pedigree and genomic information.

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Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. (2009, background): “Legarra et al. (2009) presented formulas for more realistic H and also computing details for a product of that H by a vector.”
Genomic selection in forest tree breeding: the concept and an outlook to the future (2014, methodology): “a BLUP approach to predict BV as suggested by animal breeders (Legarra et al. 2009; Forni et al. 2011; Chen et al. 2011; Aguilar et al. 2010).”
Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding (2013, background): “Therefore, existing proposals for combining data from genotyped and ungenotyped individuals (Legarra et al. 2009; Christensen and Lund 2010) that assume multivariate normality should be regarded as linear approximations to a nonlinear problem.”
Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. (2010, background): “Legarra et al. (2009) suggested deriving the joint density of u1 and u2 as p p p ( ) ( | ) ( ).”