One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on kinship.  The genetic correlation between lines can be modeled using a marker-based, additive relationship matrix, or via Gaussian and exponential kernels.

One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on kinship.  The genetic covariance between lines can be modeled using a marker-based, additive relationship matrix, or via Gaussian and exponential kernels.

One application is to estimate marker effects by ridge
regression; alternatively, BLUPs can be calculated based on
kinship.  The genetic covariance between lines can be modeled
using a marker-based, additive relationship matrix, or via
Gaussian and exponential kernels.

Software for genomic prediction with the RR-BLUP mixed
model. One application is to estimate marker effects by ridge
regression; alternatively, BLUPs can be calculated based on an
additive relationship matrix or a Gaussian kernel.

Software for genomic prediction with the RR-BLUP mixed model. One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive relationship matrix or a Gaussian kernel.

Ridge Regression and Other Kernels for Genomic Selection

Software for genomic prediction with the RR-BLUP mixed model (Endelman 2011, <doi:10.3835/plantgenome2011.08.0024>). One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive relationship matrix or a Gaussian kernel.

Re-parametrization of RR-BLUP to allow for a fixed residual
variance
c(person(given = "Torben", family = "Schulz-Streeck", email =
"torben.schulz-streeck@uni-hohenheim.de"), person(given =
"Boubacar", family = "Estaghvirou", email =
"S.Ould@uni-hohenheim.de"), person(given = "Frank",family =
"Technow", email = "Frank.Technow@uni-hohenheim.de", comment =
"University of Hohenheim, Institute of Plant Breeding, Seed
Science and Population Genetics, Stuttgart, Germany"))
Torben Schulz-Streeck, Boubacar Estaghvirou, Frank Technow
rrBlupMethod6 -- Re-parametrization of mixed
model formulation to allow for a fixed residual variance when using
RR-BLUP for genomwide estimation of marker effects.