… E ivt the residual error for variety v in replicate i of treatment t. … (A), Bayes C (B) or CNN (C)
compared to the direct genomic … non-linear relationships between traits and between CGM …

… 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. …

… , X and Z are known design matrices and ε is a random residual … Genome-wide association
study was carried out in each … It was not difficult to draw the conclusion that bin7.03/7.04 was …

… 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 …

… 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 …

… to genomic prediction to associate genes to plant traits, in … field‐grown maize plants of the
same inbred line (Zea mays B104), … that residual non‐linear laboratory or genotype effects may …

… We employed Bayesian whole‐genome GWA methods to … 2 are the additive genomic and
residual variances, respectively… Root size and nitrogen‐uptake activity in two maize (Zea mays) …

… studies to reduce the genomic region controlling a trait of interest to … Maize (Zea mays L.) is
a major source of calories and biofuel, … index from CERIS to connect the observed phenotypic …