[HTML][HTML] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics Selection …, 2012 - Springer
Background The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

[PDF][PDF] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler, JHJ van der Werf - 2012 - Citeseer
Background: The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics Selection …, 2012 - go.gale.com
Background The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, J Hickey, HD Daetwyler… - Genetics Selection …, 2012 - rune.une.edu.au
Background: The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

[PDF][PDF] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler, JHJ van der Werf - 2012 - pure.ed.ac.uk
Background: The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics, Selection …, 2012 - search.proquest.com
Background: The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

[PDF][PDF] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler, JHJ van der Werf - 2012 - researchgate.net
Background: The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

[引用][C] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics Selection …, 2012 - cir.nii.ac.jp
The importance of information on relatives for the prediction of genomic breeding values and the
implications for the makeup of reference data sets in livestock breeding schemes | CiNii …

[HTML][HTML] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics, Selection …, 2012 - ncbi.nlm.nih.gov
Background The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

[引用][C] The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …

SA Clark, JM Hickey, HD Daetwyler… - Genetics Selection …, 2012 - Springer