ArticleHeredity2014
Accuracy of genomic selection models in a large population of open-pollinated families in white spruce.
Article in Heredity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed.
- Genomic selection validated across two generations of loblolly pine breeding.G3 (Bethesda, Md.) · 2026Article
- Integrating GWAS-guided markers preselection with genomic selection enhances prediction of pulpwood-related traits in slash pine (Pinus elliottii Englem.).BMC plant biology · 2026Article
- NAMPHORA: a fossil and modern pollen database from Northern Africa and adjacent Mediterranean and Arabian regions.Scientific data · 2026Article
- Article
- Breeding for climate adaptation: genetic variation and genomic selection for drought response in Scots pine.BMC genomics · 2026Article
- Application and development prospect of genomic selection breeding in coniferous trees.Planta · 2025Review
- Article
- Testing source elevation versus genotype as predictors of sugar pine performance in a post-fire restoration planting.Ecosphere (Washington, D.C) · 2024Article
- Effects of SNP marker density and training population size on prediction accuracy in alfalfa (Medicago sativa L.) genomic selection.The plant genome · 2024Article
- Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch.BMC genomics · 2024Article
- Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine.Ecology and evolution · 2023Article
- Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce.Frontiers in plant science · 2023Article
- Genome-Wide SNP Markers Accelerate Perennial Forest Tree Breeding Rate for Disease Resistance through Marker-Assisted and Genome-Wide Selection.International journal of molecular sciences · 2022Review
- Comprehensive collection of genes and comparative analysis of full-length transcriptome sequences from Japanese larch (Larix kaempferi) and Kuril larch (Larix gmelinii var. japonica).BMC plant biology · 2022Article
- Chasing genetic correlation breakers to stimulate population resilience to climate change.Scientific reports · 2022Article
- Prediction ability of genome-wide markers in Pinus taeda L. within and between population is affected by relatedness to the training population and trait genetic architecture.G3 (Bethesda, Md.) · 2022Article
- Identifying and testing marker-trait associations for growth and phenology in three pine species: Implications for genomic prediction.Evolutionary applications · 2022Article
- Genomic Prediction of Complex Traits in Perennial Plants: A Case for Forest Trees.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program.PloS one · 2022Article
- Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing.International journal of molecular sciences · 2021Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 studies have reported empirical results of GS potential in the context of large population sizes and long breeding cycles such as for boreal trees. In this study, we assessed the effectiveness of marker-aided selection in an undomesticated white spruce (Picea glauca (Moench) Voss) population of large effective size using a GS approach. A discovery population of 1694 trees representative of 214 open-pollinated families from 43 natural populations was phenotyped for 12 wood and growth traits and genotyped for 6385 single-nucleotide polymorphisms (SNPs) mined in 2660 gene sequences. GS models were built to predict estimated breeding values using all the available SNPs or SNP subsets of the largest absolute effects, and they were validated using various cross-validation schemes. The accuracy of genomic estimated breeding values (GEBVs) varied from 0.327 to 0.435 when the training and the validation data sets shared half-sibs that were on average 90% of the accuracies achieved through traditionally estimated breeding values. The trend was also the same for validation across sites. As expected, the accuracy of GEBVs obtained after cross-validation with individuals of unknown relatedness was lower with about half of the accuracy achieved when half-sibs were present. We showed that with the marker densities used in the current study, predictions with low to moderate accuracy could be obtained within a large undomesticated population of related individuals, potentially resulting in larger gains per unit of time with GS than with the traditional approach.
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