Background Genomic selection (GS) or genomic prediction is a promising approach for tree
breeding to obtain higher genetic gains by shortening time of progeny testing in breeding …

Background Genomic prediction (GP) and genome-wide association (GWA) analyses are
currently being employed to accelerate breeding cycles and to identify alleles or genomic …

Single-step GBLUP (HBLUP) efficiently combines genomic, pedigree, and phenotypic
information for holistic genetic analyses of disjunct breeding populations. We combined data …

Radiata pine (Pinus radiata D. Don) is one of the world's most domesticated pines and a key
economic species in New Zealand. Thus, the development of genomic resources for radiata …

Genomic selection based on the single-step genomic best linear unbiased prediction
(ssGBLUP) approach is becoming an important tool in forest tree breeding. The quality of the …

The integration of genomic data into genetic evaluations can facilitate the rapid selection of
superior genotypes and accelerate the breeding cycle in trees. In this study, 390 trees from …

Eucalyptus grandis is one of the most important species for hardwood plantation forestry
around the world. At present, its commercial deployment is in decline because of pests and …

Traditional tree improvement is cumbersome and costly. Our main objective was to assess
the extent to which genomic data can currently accelerate and improve decision making in …

Modeling environmental spatial heterogeneity can improve the efficiency of forest tree
genomic evaluation. Furthermore, genotyping costs can be lowered by reducing the number …

Genomic selection methods are particularly useful for traits that are difficult or expensive to
measure. We investigated the impact of using predictor growth traits and/or genomic …