Short communication: The role of genotypes from animals without phenotypes in single-step genomic evaluations

被引:13
|
作者
Shabalina, T. [1 ]
Pimentel, E. C. G. [1 ]
Edel, C. [1 ]
Plieschke, L. [1 ]
Emmerling, R. [1 ]
Goetz, K. -U. [1 ]
机构
[1] Bavarian State Res Ctr Agr, Inst Anim Breeding, D-85586 Grub, Germany
关键词
genomic breeding value; imputation; numerator relationship; SNP; RELATIONSHIP MATRIX; FULL PEDIGREE; DAIRY-CATTLE; ACCURACY; INFORMATION; SELECTION; COMPUTE;
D O I
10.3168/jds.2017-12734
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
In a 2-step genomic system, genotypes of animals without phenotypes do not influence genomic prediction of other animals, but that might not be the case in single-step systems. We investigated the effects of including genotypes from culled bulls on the reliability of genomic predictions from single-step evaluations. Four scenarios with a constant amount of phenotypic information and increasing numbers of genotypes from culled bulls were simulated and compared with respect to prediction reliability. With increasing numbers of genotyped culled bulls, there was a corresponding increase in prediction reliability. For instance, in our simulation scenario the reliability for selection candidates was twice as large when all culled bulls from the last 4 generations were included in the analysis. Single-step evaluations imply the imputation of all nongenotyped animals in the pedigree. We showed that this imputation was increasingly more accurate as increasingly more genotypic information from the culled bulls was taken into account. This resulted in higher prediction reliabilities. The extent of the benefit from including genotypes from culled bulls might be more relevant for small populations with low levels of reliabilities.
引用
收藏
页码:8277 / 8281
页数:5
相关论文
共 50 条
  • [1] Single-step genomic evaluations.
    Mantysaari, E. A.
    Koivula, M.
    Stranden, I.
    [J]. JOURNAL OF DAIRY SCIENCE, 2019, 102 : 99 - 99
  • [2] Genomic predictions for crossbred animals with single-step genomic BLUP
    Pena, D. Gonzalez
    Vukasinovic, N.
    Brooker, J.
    Przybyla, C.
    Steyn, Y.
    De-Nise, S.
    [J]. JOURNAL OF DAIRY SCIENCE, 2020, 103 : 267 - 267
  • [3] Estimates of genetic trend for single-step genomic evaluations
    Karin Meyer
    Bruce Tier
    Andrew Swan
    [J]. Genetics Selection Evolution, 50
  • [4] Considering dominance in reduced single-step genomic evaluations
    Ertl, J.
    Edel, C.
    Pimentel, E. C. G.
    Emmerling, R.
    Goetz, K-U.
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2018, 135 (03) : 151 - 158
  • [5] Estimates of genetic trend for single-step genomic evaluations
    Meyer, Karin
    Tier, Bruce
    Swan, Andrew
    [J]. GENETICS SELECTION EVOLUTION, 2018, 50
  • [6] Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes
    Zhao, Tianjing
    Cheng, Hao
    [J]. GENETICS SELECTION EVOLUTION, 2023, 55 (01)
  • [7] Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes
    Tianjing Zhao
    Hao Cheng
    [J]. Genetics Selection Evolution, 55
  • [8] Avoiding preselection bias in subsequent single-step genomic BLUP evaluations of genomically preselected animals
    Jibrila, Ibrahim
    Vandenplas, Jeremie
    ten Napel, Jan
    Veerkamp, Roel F.
    Calus, Mario P. L.
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2021, 138 (04) : 432 - 441
  • [9] Symposium review: Single-step genomic evaluations in dairy cattle
    Mantysaari, E. A.
    Koivula, M.
    Stranden, I.
    [J]. JOURNAL OF DAIRY SCIENCE, 2020, 103 (06) : 5314 - 5326
  • [10] Metafounder approach for single-step genomic evaluations of Red Dairy cattle
    Kudinov, A. A.
    Mantysaari, E. A.
    Aamand, G. P.
    Uimari, P.
    Stranden, I.
    [J]. JOURNAL OF DAIRY SCIENCE, 2020, 103 (07) : 6299 - 6310