Recent work has suggested that the performance of prediction models for complex traits may
depend on the architecture of the target traits. Here we compared several prediction models …

This volume explores the conceptual framework and the practical issues related to genomic
prediction of complex traits in human medicine and in animal and plant breeding. The book …

Prediction of complex traits based on genome-wide marker information is of central
importance for both animal and plant breeding. Numerous models have been proposed for …

Genomic selection (GS) has been implemented in animal and plant species, and is
regarded as a useful tool for accelerating genetic gains. Varying levels of genomic …

Background There is increasing empirical evidence that whole-genome prediction (WGP) is
a powerful tool for predicting line and hybrid performance in maize. However, there is a lack …

Prediction accuracy of genomic selection (GS) has been previously evaluated through
simulation and cross‐validation; however, validation based on progeny performance in a …

Abstract Key Message Genomic prediction using the Brassica 60 k genotyping array is
efficient in oilseed rape hybrids. Prediction accuracy is more dependent on trait complexity …

Background A typical genetical genomics experiment results in four separate data sets;
genotype, gene expression, higher-order phenotypic data and metadata that describe the …

Legumes are extremely valuable because of their high protein content and several other
nutritional components. The major challenge lies in maintaining the quantity and quality of …

Single-cross hybrids have been critical to the improvement of maize (Zea mays L.), but the
characterization of their genetic architectures remains challenging. Previous studies of …