… 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 …

… ^2_{\epsilon }\) for the residual error. For each combination between crosses of lines \(…
relationships by capturing Mendelian sampling, the widespread use of genomic information in trait …

… 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) …

… relationships. Genetic architecture underlying quantitative … In this dissertation, I demonstrate
that GP can be … The sensitivity of the residual outcome values to first-stage inputs highlights …

… the genetic potential for a given trait (optimum range). The … structure of genetic relationships,
such as genomic data (blue … ε ij is the variety of residual deviation sources not accounted for …

… that used the genomic relationships and the environmental … markers and phenotypic traits.
Causal markers or markers in … random residuals with ε ~ N(0, Iσ2 ε ) where σ2 ε is residual …

… using high-dimensional genomic information… connection strength coefficients (including all
neuron-specific biases); σ 2 is the residual variance and M represents a given neural network …

… Maize (Zea mays L.) is a complex crop. Governed by the … accuracy of genomic prediction
in a low heritability trait. While … observe the benefit of their relationships. The universality and …

… traits (Genome Wide Association Studies, GWAS), and to better predictions of genetic value
to improve breeding efficiency (Genomic … datasets collected on two maize panels, and could …

… genomic best linear unbiased predictor (G-BLUP; genomic … grain scans of a hybrid maize
(Zea mays L.) diversity panel … H E 2 ); and ε ij is the residual error term assuming iid N(0,σ 2 )…