Forest tree breeding has been successful at delivering genetically improved material for
multiple traits based on recurrent cycles of selection, mating, and testing. However, long …

The breeding of forest trees is only a few decades old, and is a much more complicated,
longer, and expensive endeavor than the breeding of agricultural crops. One breeding cycle …

Most traits of agronomic importance are quantitative in nature, and genetic markers have
been used for decades to dissect such traits. Recently, genomic selection has earned …

Modeling epistasis in genomic selection is impeded by a high computational load. The
extended genomic best linear unbiased prediction (EG-BLUP) with an epistatic relationship …

Twelve years have passed since the early outlooks of applying genomic selection (GS) to
forest tree breeding, initially based on deterministic simulations, soon followed by empirical …

Genomic prediction methods based on multiple markers have potential to include
nonadditive effects in prediction and analysis of complex traits. However, most …

Technology advances have made possible the collection of a wealth of genomic,
environmental, and phenotypic data for use in plant breeding. Incorporation of …

High-dimensional and high-throughput genomic, field performance, and environmental data
are becoming increasingly available to crop breeding programs, and their integration can …

As one of the world's most important food crops, the potato (Solanum tuberosum L.) has
spurred innovation in autotetraploid genetics, including in the use of SNP arrays to …

Quantitative genetic theory provides a means of estimating the evolutionary potential of
natural populations. However, this approach was previously only feasible in systems where …