Genomic prediction with parallel computing for slaughter traits in Chinese Simmental beef cattle using high-density genotypes

Genomic selection has been widely used for complex quantitative trait in farm animals. Estimations of breeding values for slaughter traits are most important to beef cattle industry, and it is worthwhile to investigate prediction accuracies of genomic selection for these traits. In this study, we as...

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Veröffentlicht in:	PloS one 2017-07, Vol.12 (7), p.e0179885-e0179885
Hauptverfasser:	Guo, Peng, Zhu, Bo, Xu, Lingyang, Niu, Hong, Wang, Zezhao, Guan, Long, Liang, Yonghu, Ni, Hemin, Guo, Yong, Chen, Yan, Zhang, Lupei, Gao, Xue, Gao, Huijiang, Li, Junya
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Animal husbandry Animal sciences Animals Bayesian analysis Beef Beef cattle Biology and Life Sciences Breeding Cattle Cattle industry Genetics Genome Genomes Genomics Genotype Genotypes Livestock breeding Management Mathematical models Meat Medicine and Health Sciences Molecular biology Mutation Plant breeding Quantitative Trait, Heritable Red Meat Research and Analysis Methods Simulation Single-nucleotide polymorphism Slaughter Studies Zoology
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