Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 495762
Title Genomic selection for improved crossbred performance
Author(s) Lopes, Marcos Soares
Source University. Promotor(en): Johan van Arendonk, co-promotor(en): Henk Bovenhuis; John Bastiaansen; E.F. Knol. - Wageningen : Wageningen University - ISBN 9789462576315 - 202 p.
Department(s) Animal Breeding and Genetics
WIAS
Publication type Dissertation, internally prepared
Publication year 2016
Keyword(s) pigs - crossbreds - genomics - selective breeding - performance - genetic improvement - pig breeding - varkens - kruising - genomica - selectief fokken - prestatieniveau - genetische verbetering - varkensfokkerij
Categories Pigs / Races, Selection, Genetics
Abstract

Lopes, M.S. (2016). Genomic selection for improved crossbred performance. PhD thesis, Wageningen University, the Netherlands

With the implementation of genomic selection in pig breeding, the genetic progress in purebred populations is expected to increase up to 55% compared to traditional selection based on pedigree information. However, as most of the animals in the pork production system are crossbreds, the increase in genetic progress in purebreds will only be observed on production farms if this progress is expressed in the performance of crossbreds. The main aim of this thesis was to evaluate different models based on genomic information which can be applied to improve performance of crossbred animals. Another aim was to gain insight into genetic architecture of (complex) traits and to investigate how selection history has influenced haplotype patterns of current commercial pigs. This thesis shows that by going beyond traditional genomic selection models, phenotypes can be predicted more accurately. Therefore, these improved models should be considered to improve crossbred performance. Further, this thesis provides important insights into the genetic architecture of the evaluated (complex) traits and also shows evidence that human-driven introgression and selection have shaped the genome of current commercial pig breeds. The research presented in this thesis was performed using data from pigs and the discussion on the practical application of results was focused on pig breeding. The results are relevant for all livestock species where crossbreeding is applied.

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