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Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population
Chiemela Peter Nwogwugwu, Yeongkuk Kim, Hyunji Choi, Jun Heon Lee, Seung-Hwan Lee
Asian-Australas J Anim Sci. 2020;33(12):1912-1921.   Published online June 24, 2020
DOI: https://doi.org/10.5713/ajas.20.0217

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Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population
Asian-Australasian Journal of Animal Sciences. 2020;33(12):1912-1921   Crossref logo
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Improving the accuracy of genomic prediction in Chinese Holstein cattle by using one-step blending
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Accuracy of multi-trait genomic selection using different methods
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Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle
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Detection of selection signatures in dairy and beef cattle using high-density genomic information
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The nature, scope and impact of genomic prediction in beef cattle in the United States
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Accuracy of genomic prediction using different models and response variables in the Nordic Red cattle population
Journal of Animal Breeding and Genetics. 2013;130(5):333-340   Crossref logo
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Using Genomic Selection to Characterize Environments and Optimize Prediction Accuracy in Applied Breeding Data
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Using the genomic relationship matrix to predict the accuracy of genomic selection
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The effect of using cow genomic information on accuracy and bias of genomic breeding values in a simulated Holstein dairy cattle population
Journal of Dairy Science. 2018;101(6):5166-5176   Crossref logo
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