ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2009
Optimum contribution selection in large general tree breeding populations with an application to Scots pine.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 29 citations in OpenAlex.
- Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane.The plant genome · 2026Review
- Uncertainty-aware breeding decisions: MCMC-based optimum contribution selection increases breeding decision robustness.Genetics · 2026Article
- Principal component analysis revisited: fast multitrait genetic evaluations with smooth convergence.G3 (Bethesda, Md.) · 2024Article
- Fifty years of a public cassava breeding program: evolution of breeding objectives, methods, and decision-making processes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Genomic selection of juvenile height across a single-generational gap in Douglas-fir.Heredity · 2019Article
- Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Review
- Evolving gene banks: improving diverse populations of crop and exotic germplasm with optimal contribution selection.Journal of experimental botany · 2017Article
- Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributions.Genetics · 2010Article
- Optimization of selection contribution and mate allocations in monoecious tree breeding populations.BMC genetics · 2009Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Development of selection methods that optimises selection differential subject to a constraint on the increase of inbreeding (or coancestry) in a population is an important part of breeding programmes. One such method that has received much attention in animal breeding is the optimum contribution (OC) dynamic selection method. We implemented the OC algorithm and applied it to a diallel progeny trial of Pinus sylvestris L. (Scots pine) focussing on two traits (total tree height and stem diameter). The OC method resulted in a higher increase in genetic gain (8-30%) compared to the genetic gain achieved using standard restricted selection method at the same level of coancestry constraint. Genetic merit obtained at two different levels of restriction on coancestry showed that the benefit of OC was highest when restriction was strict. At the same level of genetic merit, OC decreased coancestry with 56 and 39% for diameter and height, respectively, compared to the level of coancestry obtained using unrestricted truncation selection. Inclusion of a dominance term in the statistical model resulted in changes in contribution rank of trees with 7 and 13% for diameter and height, respectively, compared to results achieved by using a pure additive model. However, the genetic gain was higher for the pure additive model than for the model including dominance for both traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.