… In summary, our grain filling traits were dominated by small … of fit criterion such as the Bayesian
Information Criterion (Schwarz … Similar to KDR, residual variance for MC at physiological …

… ability of maize lines is also important for value-added traits, … relationships among lines are
two major challenges that can cause spurious associations between markers and the trait of …

… for quantitative traits based on whole genome genotypes … to evaluate GS for wheat and maize
(Zea mays L.) improvement. … ε is a vector of random residuals. The parameters α and ε are …

… single node; causal relationships among some of the secondary traits might exist. Outgoing
… (g i ) and residuals (r i ) for each accession i, and the final trait values were obtained using a …

… is applied to an empirical maize (Zea mays L.) drought MET … relationships between the
environmental variables and traits … correlation of the estimated plot residuals. The 106 DH lines …

… maize (Zea mays L.). Using near-isogenic lines derived from a … We show stability of trait
expression over several years of … may establish the connection between all measured traits. We …

… Quantitative variation of complex traits in maize (Zea mays L.) … and ε is the residual effects
vector with the assumptions of β … critical to understand the relationships between plant heights …

… direct genomic values and estimates the genetic and residual … Bayesian network structures
were learned using the ten latent environmental variables and plasticity for phenological traits …

… traits from diversity panels in maize (Zea mays L.) and sorghum [Sorghum bicolor (L.) … :tpg2plantgenome2018070052-math-0006
), and ε i is the residual error term ∼N(0, urn:x-wiley:…

… one from a diverse set of maize (Zea mays L.) inbred lines with a … Model fitting for maize
quantitative traits with both population … (a–c) Bayesian Information Criterion (BIC) and −2 residual …