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Impact of Relationships between Test and Reference Animals and between Reference Animals on Reliability of Genomic Prediction

Monday, August 18, 2014
Posters (The Westin Bayshore)
Xiaoping Wu , 2College of Animal Science and Technology, China Agricultural University, Beijing, China
Mogens Sandø Lund , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Dongxiao Sun , 2College of Animal Science and Technology, China Agricultural University, Beijing, China
Qin Zhang , China Agricultural University, Beijing, China
Guosheng Su , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Abstract Text: This study investigated reliability of genomic prediction in various scenarios with regard to relationship between test and reference animals and between animals within the reference population. Different reference populations were generated from EuroGenomics data and 1288 Nordic Holstein bulls as a common test population. A GBLUP model and a Bayesian mixture model were applied to predict Genomic breeding values for bulls in the test data. Result showed that a closer relationship between test and reference animals led to a higher reliability, while a closer relationship between reference animal resulted in a lower reliability. Therefore, the design of reference population is important for improving the reliability of genomic prediction. With regard to model, the Bayesian mixture model in general led to slightly a higher reliability of genomic prediction than the GBLUP model. 

Keywords:

genomic prediction

genomic relationship

reliability

See more of: Posters: Prediction using molecular information (Group 2)
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