Effect of clonal testing on the efficiency of genomic evaluation in forest tree breeding

Through stochastic simulations, accuracies of breeding values and response to selection were assessed under traditional pedigree-(BLUP) and genomic-based evaluation methods (GBLUP) in forest tree breeding. The latter provides a methodological foundation for genomic selection. We evaluated the impact of clonal replication in progeny testing on the response to selection realized in seed orchards under variable marker density and target effective population sizes. We found that clonal replication in progeny trials boosted selection accuracy, thus providing additional genetic gains under BLUP. While a similar trend was observed for GBLUP, however, the added gains did not surpass those under BLUP. Therefore, breeding programs deploying extensive progeny testing with clonal propagation might not benefit from the deployment of genomic information. These findings could be helpful in the context of operational breeding programs.

Automated summary

This study assessed the accuracies of breeding values and response to selection using traditional pedigree and genomic-based evaluation methods in forest tree breeding. The results showed that clonal replication in progeny testing improved selection accuracy, but the use of genomic information did not significantly enhance genetic gains.