The implementation of genomic evaluations in the UK

RA Mrode; T Krzyzelewski; KL Moore; M Winters; MP Coffey

The implementation of genomic evaluations in the UK

RA Mrode, T Krzyzelewski, KL Moore, M Winters, MP Coffey

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Abstract

Preliminary genomic evaluations for production and fitness traits in Holstein Friesian bulls in the United Kingdom (UK) were undertaken using 11480 bulls with 50k genotypes. A linear model with and without polygenic effects was implemented and results were compared. Linear equations were solved with Mix99. The accuracy of predictions in terms of correlations between deregressed proofs and direct genomic values in the validation set were about 0.68 for production traits and somatic cell count (SCC) but lower at 0.45 for longevity. Inclusion of polygenic effects increased the regression coefficients to about unity, thus improving the predictive ability of the model. The gain in reliability in genomic enhanced pedigree index (GPI) relative to traditional PI were about 23% for production traits and 15% for longevity.

Original language	English
Title of host publication	Proceedings of the 2011 Interbull meeting
Pages	173-175
Volume	44
Publication status	Print publication - 2011

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title = "The implementation of genomic evaluations in the UK",

abstract = "Preliminary genomic evaluations for production and fitness traits in Holstein Friesian bulls in the United Kingdom (UK) were undertaken using 11480 bulls with 50k genotypes. A linear model with and without polygenic effects was implemented and results were compared. Linear equations were solved with Mix99. The accuracy of predictions in terms of correlations between deregressed proofs and direct genomic values in the validation set were about 0.68 for production traits and somatic cell count (SCC) but lower at 0.45 for longevity. Inclusion of polygenic effects increased the regression coefficients to about unity, thus improving the predictive ability of the model. The gain in reliability in genomic enhanced pedigree index (GPI) relative to traditional PI were about 23% for production traits and 15% for longevity.",

author = "RA Mrode and T Krzyzelewski and KL Moore and M Winters and MP Coffey",

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AU - Mrode, RA

AU - Krzyzelewski, T

AU - Moore, KL

AU - Winters, M

AU - Coffey, MP

PY - 2011

Y1 - 2011

N2 - Preliminary genomic evaluations for production and fitness traits in Holstein Friesian bulls in the United Kingdom (UK) were undertaken using 11480 bulls with 50k genotypes. A linear model with and without polygenic effects was implemented and results were compared. Linear equations were solved with Mix99. The accuracy of predictions in terms of correlations between deregressed proofs and direct genomic values in the validation set were about 0.68 for production traits and somatic cell count (SCC) but lower at 0.45 for longevity. Inclusion of polygenic effects increased the regression coefficients to about unity, thus improving the predictive ability of the model. The gain in reliability in genomic enhanced pedigree index (GPI) relative to traditional PI were about 23% for production traits and 15% for longevity.

AB - Preliminary genomic evaluations for production and fitness traits in Holstein Friesian bulls in the United Kingdom (UK) were undertaken using 11480 bulls with 50k genotypes. A linear model with and without polygenic effects was implemented and results were compared. Linear equations were solved with Mix99. The accuracy of predictions in terms of correlations between deregressed proofs and direct genomic values in the validation set were about 0.68 for production traits and somatic cell count (SCC) but lower at 0.45 for longevity. Inclusion of polygenic effects increased the regression coefficients to about unity, thus improving the predictive ability of the model. The gain in reliability in genomic enhanced pedigree index (GPI) relative to traditional PI were about 23% for production traits and 15% for longevity.

M3 - Conference contribution

VL - 44

SP - 173

EP - 175

BT - Proceedings of the 2011 Interbull meeting

ER -

The implementation of genomic evaluations in the UK

Abstract

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