Selection Response Prediction

Selection Response Prediction is a computational method that quantifies the expected change in multivariate trait distributions across generations under artificial or natural selection by integrating genetic parameters, breeding values, and selection differentials within a quantitative genetic framework.

90

Publications

9.2K

Citations

236

Authors

135

Institutions

Publications per year

2017–2026

11

Authors

236

  1. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    8 publications · 987 citations

    8

    h-index

  2. RT
    R. Thompson

    Rothamsted Research, United Kingdom

    4 publications · 285 citations

    4

    h-index

  3. HM
    Heinz Mühlenbein

    Gesellschaft Fur Mathematik Und Datenverarbeitung, Germany

    3 publications · 794 citations

    3

    h-index

  4. DS
    Daniel Sørensen

    Aarhus University, Denmark

    3 publications · 233 citations

    3

    h-index

  5. AC
    Armando Caballero

    Universidade de Vigo, Spain

    2 publications · 89 citations

    2

    h-index

1–5 of 236

Venues

  1. Genetics

    10 publications · 1.3K citations

    10

    h-index

  2. Animal Science

    9 publications · 755 citations

    9

    h-index

  3. Journal of Animal Science

    9 publications · 513 citations

    9

    h-index

  4. Evolution

    6 publications · 789 citations

    6

    h-index

  5. Genetics Selection Evolution

    GSE · 5 publications · 241 citations

    5

    h-index

1–5