Background Genomic data are used in animal breeding to assist genetic evaluation. Several
models to estimate genomic breeding values have been studied. In general, two …

Genetic interactions help map biological processes and their functional relationships. A
genetic interaction is defined as a deviation from the expected phenotype when combining …

Background Plant breeders seek to develop cultivars with maximal agronomic value, which
is often assessed using numerous, often genetically correlated traits. As intervention on one …

Genotype× environment interaction (G× E) plays a fundamental role in important agricultural
traits such as grain yield or disease resistance. Therefore, modeling G× E is essential for the …

Genome-wide association studies (GWAS) have identified loci linked to hundreds of traits in
many different species. Yet, because linkage equilibrium implicates a broad region …

Despite the emerging experimental techniques for perturbing multiple genes and measuring
their quantitative phenotypic effects, genetic interactions have remained extremely difficult to …

Background Single-step genomic predictions obtained from a breeding value model require
calculating the inverse of the genomic relationship matrix (G-1). The Algorithm for Proven …

Key message Genome-wide association mapping as well as marker-and haplotype-based
genome-wide selection unraveled a complex genetic architecture of grain yield with …

Association studies are designed to identify main effects of alleles across a potentially wide
range of genetic backgrounds. To control for spurious associations, effects of the genetic …

The doubled-haploid (DH) barley population (Harrington× TR306) developed by the North
American Barley Genome Mapping Project (NABGMP) for QTL mapping consisted of 145 …