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 …

Background The size and complexity of conifer genomes has, until now, prevented full
genome sequencing and assembly. The large research community and economic …

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 …

Using large numbers of DNA markers to predict genetic merit [genomic selection (GS)] is a
new frontier in plant and animal breeding programs. GS is now routinely used to select …

Genomic selection (GS) is of interest in breeding because of its potential for predicting the
genetic value of individuals and increasing genetic gains per unit of time. To date, very few …

Background Genomic selection (GS) uses information from genomic signatures consisting of
thousands of genetic markers to predict complex traits. As such, GS represents a promising …

A two-generation maritime pine (Pinus pinaster Ait.) breeding population (n= 661) was
genotyped using 2500 SNP markers. The extent of linkage disequilibrium and utility of …

Recent advancements in genomic analysis technologies have opened up new avenues to
promote the efficiency of plant breeding. Novel genomics-based approaches for plant …

Background Genomic selection (GS) can increase genetic gain by reducing the length of
breeding cycle in forest trees. Here we genotyped 1370 control-pollinated progeny trees …