Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing.

ABSTRACT:

Background

Genomic selection (GS) in forestry can substantially reduce the length of breeding cycle and increase gain per unit time through early selection and greater selection intensity, particularly for traits of low heritability and late expression. Affordable next-generation sequencing technologies made it possible to genotype large numbers of trees at a reasonable cost.

Results

Genotyping-by-sequencing was used to genotype 1,126 Interior spruce trees representing 25 open-pollinated families planted over three sites in British Columbia, Canada. Four imputation algorithms were compared (mean value (MI), singular value decomposition (SVD), expectation maximization (EM), and a newly derived, family-based k-nearest neighbor (kNN-Fam)). Trees were phenotyped for several yiel

SUBMITTER: Gamal El-Dien O 

PROVIDER: S-EPMC4424896 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature