581. Optimizing genotyping effort in aquaculture breeding programs by pre-selection of candidates
C. Roozeboom, Benan Gulzari, Hans Komen, J.W.M. Bastiaansen
Abstract
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C. Roozeboom, Benan Gulzari, Hans Komen, J.W.M. Bastiaansen
Abstract
Open-access reader
Highly fecund aquaculture species provide more opportunities to optimize genotyping effort in genomic selection programs through selective genotyping and pre-selection than other livestock species. The aim of this study is to optimize pre-selection in a simulated fish breeding program to achieve the highest genetic gain per genotyped fish under restricted inbreeding. We simulated breeding programs in R with preselection among all selection candidates, between full sib families and within full sib families and several pre-selection intensities within each of the strategies. Pre-selection always reduces genetic gain. However, when genotyping costs are taken into account, genetic gain per genotyped fish can be increased with preselection. Pre-selecting 40% of the candidates from all available selection candidates produced the highest additional genetic gain per genotyped fish.
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Highly fecund aquaculture species provide more opportunities to optimize genotyping effort in genomic selection programs through selective genotyping and pre-selection than other livestock species. The aim of this study is to optimize pre-selection in a simulated fish breeding program to achieve the highest genetic gain per genotyped fish under restricted inbreeding. We simulated breeding programs in R with preselection among all selection candidates, between full sib families and within full sib families and several pre-selection intensities within each of the strategies. Pre-selection always reduces genetic gain. However, when genotyping costs are taken into account, genetic gain per genotyped fish can be increased with preselection. Pre-selecting 40% of the candidates from all available selection candidates produced the highest additional genetic gain per genotyped fish.
Key concepts: Selection (genetic algorithm), Genotyping, Genetic gain, Inbreeding, Genomic selection, Biology, Aquaculture, Fish <Actinopterygii>