naa a22 4500 510730221 CHVBK 20180411082949.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11295-012-0528-1 doi (NATIONALLICENCE)springer-10.1007/s11295-012-0528-1 Efficiency of genomic selection with models including dominance effect in the context of Eucalyptus breeding [Elektronische Daten] [Marie Denis, Jean-Marc Bouvet] We developed a simulation study to test the efficiency of genomic selection (GS) in the case of Eucalyptus breeding. We simulated a recurrent selection scheme for clone production over four breeding cycles. Scenarios crossing broad sense heritabilities (H 2 = 0.6 and 0.1) and dominance to additive variance ratios (R = 0.1; 0.5; and 1) were compared. GS was performed with 1,000 SNPs and 22 QTLs per Morgan and tested against phenotypic selection (PS) based on best linear unbiased prediction of parents and clones. When the training population was made up of the first cycle progeny tests and the candidate populations were the progeny tests of three successive cycles, GS accuracy decreased with breeding cycles (e.g., from 0.9 to 0.4 with H 2 = 0.6 and R = 0.1), whereas PS presented constant performances (accuracy of 0.8 with H 2 = 0.6 and R = 0.1). When the training population set was updated by associating data of previous cycles, GS accuracy was improved from 25% to 418%, especially with H 2 = 0.1. The GS model including dominance effects performed better in clone selection (genotypic value) when dominance effects were preponderant (R = 1), heritability was high (H 2 = 0.6 and with an updated training set), but no improvement was detected for parent selection (breeding value). The genetic gains over cycles were lower with the GS method without updating the data set but, with an updated training set, were similar to PS. However, the genetic gain per unit time with GS was 1.5 to 3 times higher than with PS for breeding and clone populations. These results highlight the value of GS in Eucalyptus breeding. Springer-Verlag, 2012 Genomic selection nationallicence BLUP nationallicence Eucalyptus nationallicence Dominance variance nationallicence Additive variance nationallicence Selection accuracy nationallicence Genetic gain nationallicence Denis Marie CIRAD—AGAP Research unit 108 "Genetic improvement and adaptation of tropical and Mediterranean plants”, International campus of Baillarguet TA A-108/C, 34398, Montpellier Cedex 5, France aut Bouvet Jean-Marc CIRAD—AGAP Research unit 108 "Genetic improvement and adaptation of tropical and Mediterranean plants”, International campus of Baillarguet TA A-108/C, 34398, Montpellier Cedex 5, France aut Tree Genetics & Genomes Springer-Verlag 9/1(2013-02-01), 37-51 1614-2942 9:1<37 2013 9 11295 https://doi.org/10.1007/s11295-012-0528-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11295-012-0528-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Denis Marie CIRAD—AGAP Research unit 108 "Genetic improvement and adaptation of tropical and Mediterranean plants”, International campus of Baillarguet TA A-108/C, 34398, Montpellier Cedex 5, France aut NATIONALLICENCE 700 1- Bouvet Jean-Marc CIRAD—AGAP Research unit 108 "Genetic improvement and adaptation of tropical and Mediterranean plants”, International campus of Baillarguet TA A-108/C, 34398, Montpellier Cedex 5, France aut NATIONALLICENCE 773 0- Tree Genetics & Genomes Springer-Verlag 9/1(2013-02-01), 37-51 1614-2942 9:1<37 2013 9 11295 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer