Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses

被引：0
|
作者：
Aoxing Liu
Mogens Sandø Lund
Didier Boichard
Emre Karaman
Bernt Guldbrandtsen
Sebastien Fritz
Gert Pedersen Aamand
Ulrik Sander Nielsen
Goutam Sahana
Yachun Wang
Guosheng Su
机构：
[1] Aarhus University,Center for Quantitative Genetics and Genomics
[2] Université Paris-Saclay,INRAE, AgroParisTech, GABI
[3] Nordic Cattle Genetic Evaluation,Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology
[4] Seges,undefined
[5] China Agricultural University,undefined
[6] ALLICE,undefined
来源：
Genetics Selection Evolution | / 52卷
关键词：
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 50 条
  • [31] Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle
    Guarini, A. R.
    Lourenco, D. A. L.
    Brito, L. F.
    Sargolzaei, M.
    Baes, C. F.
    Miglior, F.
    Misztal, I.
    Schenkel, F. S.
    JOURNAL OF DAIRY SCIENCE, 2018, 101 (09) : 8076 - 8086
  • [32] Multibreed genomic evaluation for production traits of dairy cattle in the United States using single-step genomic best linear unbiased predictor
    Cesarani, A.
    Lourenco, D.
    Tsuruta, S.
    Legarra, A.
    Nicolazzi, E. L.
    VanRaden, P. M.
    Misztal, I
    JOURNAL OF DAIRY SCIENCE, 2022, 105 (06) : 5141 - 5152
  • [33] Genomic selection in American mink (Neovison vison) using a single-step genomic best linear unbiased prediction model for size and quality traits graded on live mink
    Villumsen, Trine M.
    Su, Guosheng
    Guldbrandtsen, Bernt
    Asp, Torben
    Lund, Mogens S.
    JOURNAL OF ANIMAL SCIENCE, 2021, 99 (01)
  • [34] Genomic studies of milk-related traits in water buffalo (Bubalus bubalis) based on single-step genomic best linear unbiased prediction and random regression models
    Lazaro, Sirlene F.
    Tonhati, Humberto
    Oliveira, Hinayah R.
    Silva, Alessandra A.
    Nascimento, Andre, V
    Santos, Daniel J. A.
    Stefani, Gabriela
    Brito, Luiz F.
    JOURNAL OF DAIRY SCIENCE, 2021, 104 (05) : 5768 - 5793
  • [35] Bias and accuracy of body weight trait evaluations of an F2 chicken using single-step genomic best linear unbiased prediction (ssGBLUP)
    Asadollahi, Hamed
    Mahyari, Saeid Ansari
    Torshizi, Rasoul Vaez
    Emrani, Hossein
    Ehsani, Alireza
    CANADIAN JOURNAL OF ANIMAL SCIENCE, 2023,
  • [36] Bias and accuracy of body weight trait evaluations of an F2 chicken using single-step genomic best linear unbiased prediction (ssGBLUP)
    Asadollahi, Hamed
    Mahyari, Saeid Ansari
    Torshizi, Rasoul Vaez
    Emrani, Hossein
    Ehsani, Alireza
    CANADIAN JOURNAL OF ANIMAL SCIENCE, 2024, 104 (01) : 51 - 58
  • [37] Application of single-step genomic best linear unbiased prediction with a multiple-lactation random regression test-day model for Japanese Holsteins
    Baba, Toshimi
    Gotoh, Yusaku
    Yamaguchi, Satoshi
    Nakagawa, Satoshi
    Abe, Hayato
    Masuda, Yutaka
    Kawahara, Takayoshi
    ANIMAL SCIENCE JOURNAL, 2017, 88 (08) : 1226 - 1231
  • [38] Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle
    Lopes, F. B.
    Baldi, F.
    Passafaro, T. L.
    Brunes, L. C.
    Costa, M. F. O.
    Eifert, E. C.
    Narciso, M. G.
    Rosa, G. J. M.
    Lobo, R. B.
    Magnabosco, C. U.
    ANIMAL, 2021, 15 (01)
  • [39] All-breed single-step genomic best linear unbiased predictor evaluations for fertility traits in US dairy cattle
    Tabet, J. M.
    Lourenco, D.
    Bussiman, F.
    Bermann, M.
    Misztal, I.
    Vanraden, P. M.
    Vitezica, Z. G.
    Legarra, A.
    JOURNAL OF DAIRY SCIENCE, 2025, 108 (01) : 694 - 706
  • [40] Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs
    Fragomeni, B. O.
    Lourenco, D. A. L.
    Tsuruta, S.
    Bradford, H. L.
    Gray, K. A.
    Huang, Y.
    Misztal, I.
    JOURNAL OF ANIMAL SCIENCE, 2016, 94 (12) : 5004 - 5013
12345