Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29141
Title: Genomic selection without own phenotypes exploits new mutational variance less than BLUP selection
Contributor(s): Mulder, H A (author); Lee, S H  (author); Clark, Sam  (author)orcid ; Hayes, B (author); van der Werf, Julius H J  (author)orcid 
Publication Date: 2019
DOI: 10.3920/978-90-8686-890-2
Handle Link: https://hdl.handle.net/1959.11/29141
Abstract: De novo mutations (DNM) create new genetic variance and are an important driver for long-term selection response. We hypothesized that genomic selection without own phenotypes exploits new mutational variance less than pedigree-based BLUP selection. The objectives were to compare GBLUP selection without own phenotype (GBLUP), GBLUP selection with own phenotype (GBLUP_OP) and pedigree-based BLUP selection with own phenotype for 20 generations using Monte Carlo simulation. GBLUP resulted in the lowest genetic variance (24.7% of total genetic variance) and response due to DNM after 20 generations (9.4% of total response). GBLUP_OP had the highest genetic variance due to new DNM (47.8% of total genetic variance) and selection response due to DNM (30% of total response), while BLUP was in between with 27.1% of genetic variance due to DNM and 21.9% of response due to DNM. However, GBLUP_OP caused a rapid decline in total genetic variance, because the genetic variance due to old QTL rapidly eroded. GBLUP had very little selection pressure on DNM and as a consequence, GBLUP had the highest number of DNM with negative effects that were still segregating 10 generations after a DNM arose. Due to the decline in genetic variance for all selection strategies, selection limits are foreseen and these selection limits are lower for GBLUP (11.2 phenotypic SD from the base population mean) and GBLUP_OP (10.7 phenotypic SD) than for BLUP selection (11.8 phenotypic SD). It can be concluded that genomic selection without own phenotypes exploits new mutational variance less than BLUP selection with own phenotypes, it increases the probability of DNM with negative effects and it lowers selection limits. Sustainable breeding strategies should consider optimal ways to exploit DNM.
Publication Type: Conference Publication
Conference Details: 
Source of Publication: Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science, p. 123-123
Publisher: Wageningen Academic Publishers
Place of Publication: Wageningen, The Netherlands
Field of Research (FoR) 2008: 070201 Animal Breeding
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
060408 Genomics
Field of Research (FoR) 2020: 300305 Animal reproduction and breeding
310506 Gene mapping
310509 Genomics
Socio-Economic Objective (SEO) 2008: 830399 Livestock Raising not elsewhere classified
830302 Dairy Cattle
Socio-Economic Objective (SEO) 2020: undefined
100402 Dairy cattle
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Other Links: https://www.wageningenacademic.com/doi/abs/10.3920/978-90-8686-890-2#page=125
Appears in Collections:Conference Publication
School of Environmental and Rural Science

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