Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application

H W Raadsma; K R Zenger; F W Nicholas; Bruce Tier; M S Khatkar; Ronald Edward Crump; G Moser; J Solkner; J A L Cavanagh; R J Hawken; M Hobbs; W Barris

Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application

H W Raadsma, K R Zenger, F W Nicholas, Bruce Tier, M S Khatkar, Ronald Edward Crump, G Moser, J Solkner, J A L Cavanagh, R J Hawken, M Hobbs, W Barris

Animal Genetics and Breeding Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A genome wide selection (GWS) platform was developed for prediction of genetic merit in dairy cattle. The critical components of the GWS platform included a genome wide SNP analysis assay representing 15,036 SNPs, 1546 progeny tested Holstein Friesian sires with EBV (ABV) for 42 lactation performance traits, and a series of complexity reduction methods with internal and external cross validation. Derived Molecular Breeding Values (MBV) using a fraction of the available SNP information, were shown to have high predictive value for genetic merit (r=0.65-0.87 with ABV) in bulls not used in the training data from which the SNP effects were derived. GWS can be used in the absence of SNP location and pedigree to make potentially highly accurate predictions of genetic merit at an early age from DNA analyses.

Original language	English
Title of host publication	Proceedings of the Association for the Advancement of Animal Breeding and Genetics
Editors	AAABG: Association for the Advancement of Animal Breeding, Genetics
Place of Publication	Armidale, Australia
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Pages	231-234
Volume	17
ISBN (Print)	1921208139
Publication status	Published - 2007
Event	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics - University of New England, Armidale, Australia Duration: 23 Sept 2007 → 26 Sept 2007

Conference

Conference	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Armidale, Australia
Period	23/09/07 → 26/09/07

Keywords

Quantitative Genetics (incl Disease and Trait Mapping Genetics)

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Raadsma, H. W., Zenger, K. R., Nicholas, F. W., Tier, B., Khatkar, M. S., Crump, R. E., Moser, G., Solkner, J., Cavanagh, J. A. L., Hawken, R. J., Hobbs, M., & Barris, W. (2007). Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application. In AAABG. Association for the Advancement of Animal Breeding, & Genetics (Eds.), Proceedings of the Association for the Advancement of Animal Breeding and Genetics (Vol. 17, pp. 231-234). Association for the Advancement of Animal Breeding and Genetics (AAABG). https://hdl.handle.net/1959.11/4115

Raadsma, H W ; Zenger, K R ; Nicholas, F W et al. / Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis : From discovery to application. Proceedings of the Association for the Advancement of Animal Breeding and Genetics. editor / AAABG: Association for the Advancement of Animal Breeding ; Genetics. Vol. 17 Armidale, Australia : Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. pp. 231-234

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title = "Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application",

abstract = "A genome wide selection (GWS) platform was developed for prediction of genetic merit in dairy cattle. The critical components of the GWS platform included a genome wide SNP analysis assay representing 15,036 SNPs, 1546 progeny tested Holstein Friesian sires with EBV (ABV) for 42 lactation performance traits, and a series of complexity reduction methods with internal and external cross validation. Derived Molecular Breeding Values (MBV) using a fraction of the available SNP information, were shown to have high predictive value for genetic merit (r=0.65-0.87 with ABV) in bulls not used in the training data from which the SNP effects were derived. GWS can be used in the absence of SNP location and pedigree to make potentially highly accurate predictions of genetic merit at an early age from DNA analyses.",

keywords = "Quantitative Genetics (incl Disease and Trait Mapping Genetics)",

author = "Raadsma, \{H W\} and Zenger, \{K R\} and Nicholas, \{F W\} and Bruce Tier and Khatkar, \{M S\} and Crump, \{Ronald Edward\} and G Moser and J Solkner and Cavanagh, \{J A L\} and Hawken, \{R J\} and M Hobbs and W Barris",

year = "2007",

language = "English",

isbn = "1921208139",

volume = "17",

pages = "231--234",

editor = "\{Association for the Advancement of Animal Breeding\}, AAABG: and Genetics",

booktitle = "Proceedings of the Association for the Advancement of Animal Breeding and Genetics",

publisher = "Association for the Advancement of Animal Breeding and Genetics (AAABG)",

note = "AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 23-09-2007 Through 26-09-2007",

}

Raadsma, HW, Zenger, KR, Nicholas, FW, Tier, B, Khatkar, MS, Crump, RE, Moser, G, Solkner, J, Cavanagh, JAL, Hawken, RJ, Hobbs, M & Barris, W 2007, Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application. in AAABG Association for the Advancement of Animal Breeding & Genetics (eds), Proceedings of the Association for the Advancement of Animal Breeding and Genetics. vol. 17, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 231-234, AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23/09/07. <https://hdl.handle.net/1959.11/4115>

Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application. / Raadsma, H W; Zenger, K R; Nicholas, F W et al.
Proceedings of the Association for the Advancement of Animal Breeding and Genetics. ed. / AAABG: Association for the Advancement of Animal Breeding; Genetics. Vol. 17 Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. p. 231-234.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis

T2 - AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics

AU - Raadsma, H W

AU - Zenger, K R

AU - Nicholas, F W

AU - Tier, Bruce

AU - Khatkar, M S

AU - Crump, Ronald Edward

AU - Moser, G

AU - Solkner, J

AU - Cavanagh, J A L

AU - Hawken, R J

AU - Hobbs, M

AU - Barris, W

PY - 2007

Y1 - 2007

N2 - A genome wide selection (GWS) platform was developed for prediction of genetic merit in dairy cattle. The critical components of the GWS platform included a genome wide SNP analysis assay representing 15,036 SNPs, 1546 progeny tested Holstein Friesian sires with EBV (ABV) for 42 lactation performance traits, and a series of complexity reduction methods with internal and external cross validation. Derived Molecular Breeding Values (MBV) using a fraction of the available SNP information, were shown to have high predictive value for genetic merit (r=0.65-0.87 with ABV) in bulls not used in the training data from which the SNP effects were derived. GWS can be used in the absence of SNP location and pedigree to make potentially highly accurate predictions of genetic merit at an early age from DNA analyses.

AB - A genome wide selection (GWS) platform was developed for prediction of genetic merit in dairy cattle. The critical components of the GWS platform included a genome wide SNP analysis assay representing 15,036 SNPs, 1546 progeny tested Holstein Friesian sires with EBV (ABV) for 42 lactation performance traits, and a series of complexity reduction methods with internal and external cross validation. Derived Molecular Breeding Values (MBV) using a fraction of the available SNP information, were shown to have high predictive value for genetic merit (r=0.65-0.87 with ABV) in bulls not used in the training data from which the SNP effects were derived. GWS can be used in the absence of SNP location and pedigree to make potentially highly accurate predictions of genetic merit at an early age from DNA analyses.

KW - Quantitative Genetics (incl Disease and Trait Mapping Genetics)

UR - http://www.aaabg.org/livestocklibrary/2007/raadsma231.pdf

UR - http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479

M3 - Conference contribution

SN - 1921208139

VL - 17

SP - 231

EP - 234

BT - Proceedings of the Association for the Advancement of Animal Breeding and Genetics

A2 - Association for the Advancement of Animal Breeding, AAABG:

A2 - Genetics, null

PB - Association for the Advancement of Animal Breeding and Genetics (AAABG)

CY - Armidale, Australia

Y2 - 23 September 2007 through 26 September 2007

ER -

Raadsma HW, Zenger KR, Nicholas FW, Tier B, Khatkar MS, Crump RE et al. Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application. In Association for the Advancement of Animal Breeding AAABG, Genetics, editors, Proceedings of the Association for the Advancement of Animal Breeding and Genetics. Vol. 17. Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG). 2007. p. 231-234

Genome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to application

Abstract

Conference

Keywords

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