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Title: The predicted responses to genomic selection in growing pigs
Contributor(s): Shariful-Islam, M  (author)orcid ; van der Werf, J H J  (author)orcid ; Boerner, V  (author); Hermesch, S  (author)orcid 
Publication Date: 2021
Open Access: Yes
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The responses to genomic selection in breeding programs for growing pigs were predicted using a selection index approach. Genomic selection increased overall predicted response by 2.6 (500 reference population) to 27.8% (5000 reference population) for a breeding objective consisting of backfat thickness (BFT), average daily gain (ADG), post-weaning survival (PWS) and feed conversion ratio (FCR) in growing pigs . Predicted response in PWS increased by 147% with genomic selection (5000 reference population) at the expense of the other traits like BFT, ADG, and FCR which had 14.5, 1.6, and 2.8% less genetic gain compared to the response in a conventional breeding program without genomic selection. The higher loss in genetic gain for BFT was due to a stronger genetic correlation with FCR in comparison to ADG. The predicted additional responses in the breeding objective is a guideline for the implementation of genomic selection in pig breeding programs.

Publication Type: Conference Publication
Conference Details: AAABG 2021: 24th Conference of the Association for the Advancement of Animal Breeding and Genetics, Online Event, 2nd - 4th November, 2010
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.24, p. 171-174
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2020: 300301 Animal growth and development
Socio-Economic Objective (SEO) 2020: 100410 Pigs
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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Description: Paper presented by Shariful Islam
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication
School of Environmental and Rural Science

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