Genomic selection for two traits in a maternal pig breeding scheme.

@article{Lillehammer2013GenomicSF,
  title={Genomic selection for two traits in a maternal pig breeding scheme.},
  author={Marie Lillehammer and Theo H. E. Meuwissen and Anna K Sonesson},
  journal={Journal of animal science},
  year={2013},
  volume={91 7},
  pages={
          3079-87
        }
}
The objective of this study was to compare different implementations of genomic selection to a conventional maternal pig breeding scheme, when selection was based partly on production traits and partly on maternal traits. A nucleus pig breeding population with size and structure similar to Norwegian Landrace was simulated where equal weight was used for maternal and production traits. To genotype the boars at the boar station and base the final selection of boars on genomic breeding values… 
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Results showed genomic selection schemes to increase genetic gain for maternal traits but reduced genetic gain at increased rates of inbreeding in Norwegian White Sheep.
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It is shown that 2 decades of selection have resulted in large gains for major traits of interest, but have also adversely affected traits such as longevity, risk of mortality, trait variability, which tend to indicate an unfavorable effect of selection on pig robustness.
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This thesis shows that by going beyond traditional genomic selection models, phenotypes can be predicted more accurately and these improved models should be considered to improve crossbred performance.
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Evaluating variation in estimated breeding values (EBVs) before and after genotyping for individuals that lack own or progeny performance records corroborate the added value of genomics for selection as previously demonstrated by empirical results based on real and simulated data.
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The current study has shown that animals can be selectively genotyped in order to optimize the response to selection as a function of the cost to conduct a breeding program using single-step genomic best linear unbiased prediction.
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