… for this novel approach and demonstrate its use with synthetic … , u the vector of marker
effects and e i a residual. As before, … for nonlinear functional relationships among traits with the …

… traits, g and e are the vector for random genetic and residual … separate for each of the
Bayesian models employed in this … for complex traits as they explore all possible relationships …

… Thus, unlike in maize (Zea mays), where inflorescences have … model to examine relationships
among traits, we identify a … ; P is a matrix containing the residuals of the first three PCs; HD …

… relationships at quantitative trait loci (QTL). We show that … Both QTL and residual effects are
treated as random with mean zero … The ten Zea mays chromosomes with 55,843 SNPs were …

… representing the directional relationships between variables and … genome-wide association
study (GWAS) on each expressed miRNA for identifying miRNA expression quantitative trait …

… favorably to Bayesian network reconstruction methods for … effect of L on G, thereby breaking
any residual dependence … , high density genotyping and genome wide RNA expression …

… of rice (Oryza sativa), a maize (Zea mays L.) half-sib panel, … for 34 traits; in our study we
concentrate on the traits plant height, … of the genomic variance σ g k 2 , the residual variance σ ε …

… means were extracted using residuals obtained from the … in wheat and maize (Zea mays
L.). These machine learning … could further explore relationships between traits and sets of …

… They conducted a randomised genome-wide association study to … -fed), and 244 varieties of
maize (Zea mays L.) were studied. Each … We used the residuals’ mean and variance from the …

… of genomic effects under the G-BLUP or the Bayesian … linear or nonlinear relationships
between predictor variables and … is a vector of residuals from the genomic model. Assume that …