Single-step Genomic Evaluation

Single-Step Genomic Evaluation is a genomic prediction method that integrates phenotypic, pedigree, and genomic information within a unified statistical framework to estimate breeding values by jointly analyzing all available data in a single step, thereby avoiding the intermediate estimation of genomic breeding values used in multi-step approaches.

138

Publications

7.6K

Citations

439

Authors

159

Institutions

Publications per year

2017–2026

94

Variants

Single-step Genomic Best Linear Unbiased PredictionSsgblup

Authors

439

  1. IM
    I. Misztal

    University of Georgia, United States

    36 publications · 3.7K citations

    25

    h-index

  2. DL
    Daniela Lourenço

    University of Georgia, United States

    30 publications · 1.4K citations

    23

    h-index

  3. ST
    S. Tsuruta

    University of Georgia, United States

    25 publications · 2.8K citations

    21

    h-index

  4. AL
    Andrés Legarra

    Génétique Physiologie et Systèmes d'Elevage, France

    15 publications · 2.9K citations

    14

    h-index

  5. IA
    Ignácio Aguilar

    Instituto Nacional de Investigación Agropecuaria, Uruguay

    13 publications · 2.7K citations

    12

    h-index

1–5 of 439

Venues

  1. Journal of Dairy Science

    JDS · 34 publications · 2.8K citations

    22

    h-index

  2. Genetics Selection Evolution

    GSE · 17 publications · 991 citations

    16

    h-index

  3. Journal of Animal Science

    20 publications · 899 citations

    16

    h-index

  4. Journal of Animal Breeding and Genetics

    11 publications · 390 citations

    11

    h-index

  5. Frontiers in Genetics

    6 publications · 194 citations

    6

    h-index

1–5