… usefulness to disentangle hidden relationships. Our objectives … absolute studentized conditional
residuals greater than three … study by running a Bayesian algorithm which models them …

… Maize (Zea mays L.) originated in the Balsas River basin of … facilitated by GWAS on
representative traits and a massive … The residual approach fits the residuals from a reduced mixed …

… may enhance our understanding of complex relationships … of genomic and residual
correlations among the four traits … multiple phenotypes using a Bayesian network that can serve …

… are genes prioritized in a genome-wide association study (… Maize (Zea mays L.) is a worldwide
staple crop. The use of … , and ε ijk is the residual error. Broad-sense heritability ( h B 2 ) …

… low residual variance, showed that trait expression was highly … of genome-wide selection
(GS) procedures for trait prediction. … networks of genes representing epistatic relationships. …

… , (2) discuss the connection between these methods and … square distribution assigned to the
residual variance, and those of … , in which 21 maize data sets represented different traits and …

… most abundant tocochromanols in maize (Zea mays L.) grain is … trait) within and between
two panels of 1,462 and 242 maize … field experiments, residual covariance was assumed to be …

… By connecting regulators and their target genes, a network … of quantitative traits in maize
using GWAS, as genomic SNPs … plants, the residual heterozygosis of inbred lines may also be a …

… Identification of quantitative trait loci (QTL) involved in the … Such founder relationships
are a common feature in breeding … E h l x y z is the residual of the model E h l x y z → N ( 0 , …

… data from 15 biparental populations of maize (Zea mays L.) (>… traits have been extensively
studied in temperate maize … where V g is the genetic variance and V r is the residual variance. …