Integrating quantitative genetics and practical aspects in a fish breeding network in Denmark

Abstract Text: A breeding network has been established in the Danish aquaculture industry. The network is a collaboration between the Danish Aquaculture Organization, the farmers and Aarhus University with the aim of accommodating farmers different needs to intensify breeding efforts. Two examples of stochastic simulations are given to show how different practical aspects of a breeding plan can be optimized. By combining quantitative genetic theory with current breeding practice we are able to optimize different breeding plans increasing genetic gain while controlling the level of inbreeding and building up knowledge within the network.

Keywords:

Fish breeding,

Stochastic simulation,

Optimal contribution selection