Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values

Ronald Edward Crump; Bruce Tier; G Moser; J Solkner; R J Kerr; Alexander Woolaston; K R Zenger; M S Khatkar; J A L Cavanagh; H W Raadsma

Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values

Ronald Edward Crump
, Bruce Tier
, G Moser
, J Solkner
, R J Kerr
, Alexander Woolaston
, K R Zenger
, M S Khatkar
, J A L Cavanagh
, H W Raadsma

Animal Genetics and Breeding Unit

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

Abstract

A procedure has been developed for the prediction of genetic merit and the simultaneous assessment of multiple genotypes for subsequent use in gene detection. The system utilises a large volume of genotype information but ignores pedigree. With a simple additive model of inheritance, high correlations between estimates of molecular breeding value and highly reliable progeny test estimated breeding values were observed (0.70–0.77).

Original language	English
Title of host publication	Proceedings of the Seventeenth Conference 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	304-307
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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Crump, R. E., Tier, B., Moser, G., Solkner, J., Kerr, R. J., Woolaston, A., Zenger, K. R., Khatkar, M. S., Cavanagh, J. A. L., & Raadsma, H. W. (2007). Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values. In AAABG. Association for the Advancement of Animal Breeding, & Genetics (Eds.), Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics (Vol. 17, pp. 304-307). Association for the Advancement of Animal Breeding and Genetics (AAABG). https://hdl.handle.net/1959.11/4146

Crump, Ronald Edward ; Tier, Bruce ; Moser, G et al. / Genome-wide selection in dairy cattle : Use of genetic algorithms in the estimation of molecular breeding values. Proceedings of the Seventeenth Conference 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. 304-307

@inproceedings{7a1d23c6a7404401ac2765c665b54fc6,

title = "Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values",

abstract = "A procedure has been developed for the prediction of genetic merit and the simultaneous assessment of multiple genotypes for subsequent use in gene detection. The system utilises a large volume of genotype information but ignores pedigree. With a simple additive model of inheritance, high correlations between estimates of molecular breeding value and highly reliable progeny test estimated breeding values were observed (0.70–0.77).",

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

author = "Crump, \{Ronald Edward\} and Bruce Tier and G Moser and J Solkner and Kerr, \{R J\} and Alexander Woolaston and Zenger, \{K R\} and Khatkar, \{M S\} and Cavanagh, \{J A L\} and Raadsma, \{H W\}",

year = "2007",

language = "English",

isbn = "1921208139",

volume = "17",

pages = "304--307",

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

booktitle = "Proceedings of the Seventeenth Conference 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",

}

Crump, RE, Tier, B, Moser, G, Solkner, J, Kerr, RJ, Woolaston, A, Zenger, KR, Khatkar, MS, Cavanagh, JAL & Raadsma, HW 2007, Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values. in AAABG Association for the Advancement of Animal Breeding & Genetics (eds), Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. vol. 17, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 304-307, AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23/09/07. <https://hdl.handle.net/1959.11/4146>

Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values. / Crump, Ronald Edward; Tier, Bruce; Moser, G et al.
Proceedings of the Seventeenth Conference 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. 304-307.

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

TY - GEN

T1 - Genome-wide selection in dairy cattle

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

AU - Crump, Ronald Edward

AU - Tier, Bruce

AU - Moser, G

AU - Solkner, J

AU - Kerr, R J

AU - Woolaston, Alexander

AU - Zenger, K R

AU - Khatkar, M S

AU - Cavanagh, J A L

AU - Raadsma, H W

PY - 2007

Y1 - 2007

N2 - A procedure has been developed for the prediction of genetic merit and the simultaneous assessment of multiple genotypes for subsequent use in gene detection. The system utilises a large volume of genotype information but ignores pedigree. With a simple additive model of inheritance, high correlations between estimates of molecular breeding value and highly reliable progeny test estimated breeding values were observed (0.70–0.77).

AB - A procedure has been developed for the prediction of genetic merit and the simultaneous assessment of multiple genotypes for subsequent use in gene detection. The system utilises a large volume of genotype information but ignores pedigree. With a simple additive model of inheritance, high correlations between estimates of molecular breeding value and highly reliable progeny test estimated breeding values were observed (0.70–0.77).

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

UR - http://www.aaabg.org/livestocklibrary/2007/crump304.pdf

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

M3 - Conference contribution

SN - 1921208139

VL - 17

SP - 304

EP - 307

BT - Proceedings of the Seventeenth Conference 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 -

Crump RE, Tier B, Moser G, Solkner J, Kerr RJ, Woolaston A et al. Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values. In Association for the Advancement of Animal Breeding AAABG, Genetics, editors, Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. Vol. 17. Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG). 2007. p. 304-307

Genome-wide selection in dairy cattle: Use of genetic algorithms in the estimation of molecular breeding values

Abstract

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Keywords

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