Selection Response Modeling

Selection Response Modeling is a computational framework that belongs to the class of predictive modeling techniques in evolutionary biology and artificial selection studies, differing by specifically quantifying the expected change in phenotypic or genetic traits of a population in response to imposed selection pressures over successive generations.

178

Publications

9.5K

Citations

473

Authors

206

Institutions

Publications per year

2017–2026

28

Authors

473

  1. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    8 publications · 665 citations

    8

    h-index

  2. AB
    A. Blasco

    Universitat Politècnica de València, Spain

    4 publications · 359 citations

    4

    h-index

  3. TM
    T.H.E. Meuwissen

    Norwegian University of Life Sciences, Norway

    4 publications · 262 citations

    4

    h-index

  4. CC
    C. Clark Cockerham

    North Carolina State University, United States

    4 publications · 107 citations

    4

    h-index

  5. MB
    M. Baselga

    Universitat Politècnica de València, Spain

    4 publications · 441 citations

    4

    h-index

1–5 of 473

Venues

  1. Journal of Animal Science

    18 publications · 808 citations

    14

    h-index

  2. Crop Science

    14 publications · 660 citations

    13

    h-index

  3. Genetics

    13 publications · 1.1K citations

    12

    h-index

  4. Genetics Selection Evolution

    GSE · 10 publications · 457 citations

    10

    h-index

  5. Genetics Research

    9 publications · 387 citations

    9

    h-index

1–5