Short communication: Genomic selection in a crossbred cattle population using data from the Dairy Genetics East Africa Project

A Brown, J Ojango, J Gibson, MP Coffey, M Okeyo, R Mrode

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Abstract

Due to the absence of accurate pedigree information, it has not been possible to implement genetic evaluations for crossbred cattle in African small-holder systems. Genomic selection techniques that do not rely on pedigree information could, therefore, be a useful alternative. The objective of this study was to examine the feasibility of using genomic selection techniques in a crossbred cattle population using data from Kenya provided by the Dairy Genetics East Africa Project. Genomic estimated breeding values for milk yield were estimated using 2 prediction methods, GBLUP and BayesC, and accuracies were calculated as the correlation between yield deviations and genomic breeding values included in the estimation process, mimicking the situation for young bulls. The accuracy of evaluation ranged from 0.28 to 0.41, depending on the validation population and prediction method used. No significant differences were found in accuracy between the 2 prediction methods. The results suggest that there is potential for implementing genomic selection for young bulls in crossbred small-holder cattle populations, and targeted genotyping and phenotyping should be pursued to facilitate this.
Original languageEnglish
Pages (from-to)7308 - 7312
Number of pages5
JournalJournal of Dairy Science
Volume99
Issue number9
Early online date8 Aug 2016
DOIs
Publication statusFirst published - 8 Aug 2016

Fingerprint

Eastern Africa
marker-assisted selection
dairies
crossbreds
cattle
breeding value
pedigree
prediction
bulls
genomics
methodology
Kenya
genotyping
milk yield
phenotype

Bibliographical note

20101043

Keywords

  • BayesC
  • Crossbred
  • Dairy cattle
  • GBLUP
  • Genomic selection

Cite this

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title = "Short communication: Genomic selection in a crossbred cattle population using data from the Dairy Genetics East Africa Project",
abstract = "Due to the absence of accurate pedigree information, it has not been possible to implement genetic evaluations for crossbred cattle in African small-holder systems. Genomic selection techniques that do not rely on pedigree information could, therefore, be a useful alternative. The objective of this study was to examine the feasibility of using genomic selection techniques in a crossbred cattle population using data from Kenya provided by the Dairy Genetics East Africa Project. Genomic estimated breeding values for milk yield were estimated using 2 prediction methods, GBLUP and BayesC, and accuracies were calculated as the correlation between yield deviations and genomic breeding values included in the estimation process, mimicking the situation for young bulls. The accuracy of evaluation ranged from 0.28 to 0.41, depending on the validation population and prediction method used. No significant differences were found in accuracy between the 2 prediction methods. The results suggest that there is potential for implementing genomic selection for young bulls in crossbred small-holder cattle populations, and targeted genotyping and phenotyping should be pursued to facilitate this.",
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Short communication: Genomic selection in a crossbred cattle population using data from the Dairy Genetics East Africa Project. / Brown, A; Ojango, J; Gibson, J; Coffey, MP; Okeyo, M; Mrode, R.

In: Journal of Dairy Science, Vol. 99, No. 9, 08.08.2016, p. 7308 - 7312.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Short communication: Genomic selection in a crossbred cattle population using data from the Dairy Genetics East Africa Project

AU - Brown, A

AU - Ojango, J

AU - Gibson, J

AU - Coffey, MP

AU - Okeyo, M

AU - Mrode, R

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AB - Due to the absence of accurate pedigree information, it has not been possible to implement genetic evaluations for crossbred cattle in African small-holder systems. Genomic selection techniques that do not rely on pedigree information could, therefore, be a useful alternative. The objective of this study was to examine the feasibility of using genomic selection techniques in a crossbred cattle population using data from Kenya provided by the Dairy Genetics East Africa Project. Genomic estimated breeding values for milk yield were estimated using 2 prediction methods, GBLUP and BayesC, and accuracies were calculated as the correlation between yield deviations and genomic breeding values included in the estimation process, mimicking the situation for young bulls. The accuracy of evaluation ranged from 0.28 to 0.41, depending on the validation population and prediction method used. No significant differences were found in accuracy between the 2 prediction methods. The results suggest that there is potential for implementing genomic selection for young bulls in crossbred small-holder cattle populations, and targeted genotyping and phenotyping should be pursued to facilitate this.

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