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Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs.
Song, Hailiang; Ye, Shaopan; Jiang, Yifan; Zhang, Zhe; Zhang, Qin; Ding, Xiangdong.
Affiliation
  • Song H; Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
  • Ye S; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.
  • Jiang Y; Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
  • Zhang Z; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.
  • Zhang Q; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Taian, China.
  • Ding X; Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. xding@cau.edu.cn.
Genet Sel Evol ; 51(1): 58, 2019 Oct 21.
Article de En | MEDLINE | ID: mdl-31638889

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Suidae / Sélection / Polymorphisme de nucléotide simple / Étude d'association pangénomique / Séquençage du génome entier / Modèles génétiques Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Langue: En Journal: Genet Sel Evol Sujet du journal: BIOLOGIA / GENETICA Année: 2019 Type de document: Article Pays d'affiliation: Chine Pays de publication: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Suidae / Sélection / Polymorphisme de nucléotide simple / Étude d'association pangénomique / Séquençage du génome entier / Modèles génétiques Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Langue: En Journal: Genet Sel Evol Sujet du journal: BIOLOGIA / GENETICA Année: 2019 Type de document: Article Pays d'affiliation: Chine Pays de publication: France