Abstract

This study compares three strategies for blue fox breeding: a) basic scenario: selection based on BLUP evaluation using pedigree information and current selection criteria, b) selection based of BLUP evaluation using pedigree information and new selection criteria, and c) selection based on genomic selection and new selection criteria. The current selection criteria include animal, pelt and litter size. New selection criteria include animal size, pelt quality, litter size, leg conformation and feed efficiency. In all three scenarios the selection objective was the same and included animal size, pelt quality, litter size, front leg conformation and feed efficiency. Study was done using stochastic simulation with the genetic evaluation done using multitrait model. Genomic selection was simulated using pseudo-genomic simulation with three (low, medium and high) levels of accuracy for breeding value. Both the new selection criteria and genomic selection resulted in higher total economic gain than the basic selection scenario. Also the inclusion of information on feed efficiency and front leg conformation increased the total economic genetic gain. For some traits the genetic gain was negative and therefore adjustment of selection index weights is needed if the genetic gain in all traits should be positive.

Keywords

Genetic gain, rate of inbreeding, stochastic simulation

Published in

Scientifur
2016, Volume: 40, number: 3/4, pages: 167-171
Title: Proceedings of the XI th International Scientific Congress in Fur Animal Production

Conference

XI th International Scientific Congress in Fur Animal Production, 2016-08-23--2016-08-26, Helsinki, Finland

SLU Authors

• Peura, Jussi

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

• Rydhmer, Lotta

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Genetics and Breeding


Permanent link to this page (URI)

https://res.slu.se/id/publ/79481