… Maize (Zea mays L.), the third most widely cultivated cereal … If R0 is the residual covariance
for more than one trait, then R … adjusting the weights that connect the layers to optimize the …

… ranged from 0.386 to 0.794 across traits and models. Six parametric … Increasing maize (Zea
mays L.) yield is one of the most … implementing various genomic relationships in regressions. …

… into a Bayesian network to obtain a trait structure reflecting … of additive genetic effect and
residuals, respectively, and ⊗ is the … phenotyping data, where relationships within image-based …

… these traits, hence the difficulty in improving these traits through … relationships, the number
of markers used to estimate … variance component other than the residual error, has a close …

… and demonstrate that failed allele calls in genomic prediction … random epistatic effects, and
e is the random residual term. … An analysis of genomic relationships in maize showed high …

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

… 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 ) …

… 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 …

… of examining causal links between the changes in alleles, traits, and … and Bayesian networks,
and (iv) investigated if genomic … G year residual represents the proportion of the variance …

… We employed Bayesian whole-genome GWA methods to … between traits 1 and 2, respectively,
and the residuals were … Root size and nitrogen-uptake activity in two maize (zea mays) …