ArticlePloS one2018
Expected benefit of genomic selection over forward selection in conifer breeding and deployment.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
- Article
- Acceleration of flowering in woody plants by grafting.Plant cell reports · 2026Review
- Heritability of theFrontiers in plant science · 2026Article
- Application and development prospect of genomic selection breeding in coniferous trees.Planta · 2025Review
- Article
- A simulation study comparing advanced marker-assisted selection with genomic selection in tree breeding programs.G3 (Bethesda, Md.) · 2023Article
- Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals.Genes · 2023Review
- 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
- Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Effect of clonal testing on the efficiency of genomic evaluation in forest tree breeding.Scientific reports · 2022Article
- Genome editing with CRISPR/Cas9 in Pinus radiata (D. Don).BMC plant biology · 2021Article
- Genomic Predictions With Nonadditive Effects Improved Estimates of Additive Effects and Predictions of Total Genetic Values inFrontiers in plant science · 2021Article
- Genetic Variation in Drought-Tolerance Traits and Their Relationships to Growth inFrontiers in plant science · 2021Article
- Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine.BMC genomics · 2020Article
- Article
- Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information.BMC genomics · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic selection is a proven technology in animal and plant breeding to accelerate genetic gain, but as yet is to be fully realised in forest tree breeding. This paper examines, through stochastic simulation, the potential benefits of genomic selection (GS) over forward selection (FS) in a typical conifer breeding program. Methods of speeding the deployment of selected material were also considered, including top-grafting onto mature seed orchard ortets, using additional replicates of clones in archives for crossing, and embryogenesis and clonal propagation. Genetic gain per generation was found to increase considerably when the size of the training population was larger (800 c.f. 3000 clones), or when the heritability was higher (0.2 c.f. 0.5). The largest genetic gain, of 24% was achieved where large training populations (3000 clones) and high heritability traits (0.5) were combined. The accuracy of genomic breeding values (GEBVs) increased with the increase in the number of clones in the training population, the heritability of the trait and the density of the SNP markers. Calculated accuracies of simulated GEBVs and genetic gain per unit of time suggested that 2000 clones in the training population is the minimum size for effective genomic selection for conifers. Compared with forward selection, genomic selection with 2000 clones in the training population, and a 60K SNP panel, an increase of 1.58 mm per year in diameter-at-breast-height (DBH) and 2.44 kg/m3 per year for wood density can be expected. After one generation (9-years), this would be equivalent to 14.23 mm and 21.97 kg/m3 for DBH and wood density respectively. Deploying clones of the selected individuals always resulted in higher additional genetic gain than deploying progeny/seedlings. Deploying genetic material selected from genomic selection with top-grafting for early coning appeared to be the best option. Application of genomic selection to conifer breeding programs, combined with deployment tools such as top-grafting and embryogenesis are powerful tools to speed the delivery of genetic gain to the forest.
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