Abstract
Optimal contribution selection (OCS) is a selection method that optimises genetic gain and diversity simultaneously. It has been implemented in French dairy goat breeding programmes since 2006. When genomic evaluation was applied in 2018, genomic OCS replaced pedigree OCS, accounting for genomic coancestries and differences of GEBV accuracies between progeny tested sires and untested sires. The genomic OCS efficiency was assessed based on the actual matings scheduled in 2021. Compared to candidates, selected sires had a higher genetic level despite a lower coancestry. Contribution of untested sires was only 30-35%. The future offspring showed a high genetic level and a genomic inbreeding from 3.0 to 3.6%. The survey of the AI bucks born between 2000 and 2022 confirmed the long-term efficiency of OCS: the annual genetic gain was about 0.17 genetic standard deviation on the total merit index whereas the annual rate of inbreeding only ranged between 0.05 and 0.07%.
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