Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants

被引：0
|
作者：
Chunyan Zhang
Robert Alan Kemp
Paul Stothard
Zhiquan Wang
Nicholas Boddicker
Kirill Krivushin
Jack Dekkers
Graham Plastow
机构：
[1] University of Alberta,Department of Agricultural, Food and Nutritional Science
[2] Genesus Inc.,Department of Animal Science
[3] Iowa State University,undefined
来源：
Genetics Selection Evolution | / 50卷
关键词：
Whole-genome Sequence Variants; Genomic Prediction; Average Daily Feed Intake (ADFI); BayesB; Imputation Accuracy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 8 条
  • [1] Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants
    Zhang, Chunyan
    Kemp, Robert Alan
    Stothard, Paul
    Wang, Zhiquan
    Boddicker, Nicholas
    Krivushin, Kirill
    Dekkers, Jack
    Plastow, Graham
    GENETICS SELECTION EVOLUTION, 2018, 50
  • [2] Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits
    Zhang, Feng
    Wang, Yining
    Mukiibi, Robert
    Chen, Liuhong
    Vinsky, Michael
    Plastow, Graham
    Basarab, John
    Stothard, Paul
    Li, Changxi
    BMC GENOMICS, 2020, 21 (01)
  • [3] Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits
    Feng Zhang
    Yining Wang
    Robert Mukiibi
    Liuhong Chen
    Michael Vinsky
    Graham Plastow
    John Basarab
    Paul Stothard
    Changxi Li
    BMC Genomics, 21
  • [4] Genomic prediction based on preselected single-nucleotide polymorphisms from genome-wide association study and imputed whole-genome sequence data annotation for growth traits in Duroc pigs
    Zhang, Yuling
    Zhuang, Zhanwei
    Liu, Yiyi
    Huang, Jinyan
    Luan, Menghao
    Zhao, Xiang
    Dong, Linsong
    Ye, Jian
    Yang, Ming
    Zheng, Enqin
    Cai, Gengyuan
    Wu, Zhenfang
    Yang, Jie
    EVOLUTIONARY APPLICATIONS, 2024, 17 (02):
  • [5] Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs
    Jang, Sungbong
    Ros-Freixedes, Roger
    Hickey, John M.
    Chen, Ching-Yi
    Holl, Justin
    Herring, William O.
    Misztal, Ignacy
    Lourenco, Daniela
    GENETICS SELECTION EVOLUTION, 2023, 55 (01)
  • [6] Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs
    Sungbong Jang
    Roger Ros-Freixedes
    John M. Hickey
    Ching-Yi Chen
    Justin Holl
    William O. Herring
    Ignacy Misztal
    Daniela Lourenco
    Genetics Selection Evolution, 55
  • [7] Genomic prediction for residual feed intake and its component traits based on 50K and imputed 7.8 million whole genome sequence SNPs in multiple breed populations of Canadian beef cattle
    Wang, Y.
    Zhang, F.
    Chen, L.
    Vinsky, M.
    Crowley, J.
    Plastow, G.
    Basarab, J.
    Stothard, P.
    Li, C.
    JOURNAL OF ANIMAL SCIENCE, 2018, 96 : 107 - 107
  • [8] Reliabilities of Genomic Prediction for Young Stock Survival Traits Using 54K SNP Chip Augmented With Additional Single-Nucleotide Polymorphisms Selected From Imputed Whole-Genome Sequencing Data
    Gebreyesus, Grum
    Lund, Mogens Sando
    Sahana, Goutam
    Su, Guosheng
    FRONTIERS IN GENETICS, 2021, 12
1