Genomic Selection

Genomic Selection is a breeding method that estimates genomic estimated breeding values (GEBV) for selection candidates using statistical prediction models trained on genome-wide molecular markers in a reference population with both genotypes and phenotypes.

3.3K

Publications

251.3K

Citations

11.7K

Authors

2.5K

Institutions

Publications per year

2017–2026

1.5K

Authors

11.7K

  1. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    83 publications · 10.8K citations

    48

    h-index

  2. BJ
    Ben J. Hayes

    The University of Queensland, Australia

    70 publications · 10K citations

    46

    h-index

  3. JJ
    Jean‐Luc Jannink

    Cornell University, United States

    58 publications · 12.8K citations

    44

    h-index

  4. JP
    Jesse Poland

    Kansas State University, United States

    43 publications · 5.7K citations

    33

    h-index

  5. TM
    T.H.E. Meuwissen

    Norwegian University of Life Sciences, Norway

    53 publications · 5.4K citations

    33

    h-index

1–5 of 11.7K

Venues

  1. Genetics Selection Evolution

    GSE · 216 publications · 17.3K citations

    76

    h-index

  2. BMC Genomics

    129 publications · 10.7K citations

    59

    h-index

  3. PLoS ONE

    154 publications · 11.8K citations

    59

    h-index

  4. Journal of Animal Science

    194 publications · 9.8K citations

    56

    h-index

  5. G3 Genes Genomes Genetics

    100 publications · 8.2K citations

    51

    h-index

1–5

See also

Genomic Selection

Core Methods

Prediction Accuracy

Training Populations

Breeding Applications

Implementation Challenges