Multivariate Selection Theory

Multivariate Selection Theory is a theoretical framework in quantitative genetics that extends univariate selection models by simultaneously analyzing the direct and indirect effects of selection on multiple correlated traits through the use of vector and matrix algebra to predict evolutionary change.

98

Publications

9.2K

Citations

250

Authors

134

Institutions

Publications per year

2017–2026

17

Authors

250

  1. JH
    John Hunt

    University of Exeter, United Kingdom

    7 publications · 380 citations

    7

    h-index

  2. MB
    Michael B. Morrissey

    University of St Andrews, United Kingdom

    5 publications · 305 citations

    5

    h-index

  3. RC
    Robert C. Brooks

    UNSW Sydney, Australia

    5 publications · 358 citations

    5

    h-index

  4. JP
    Jonathan P. Evans

    The University of Western Australia, Australia

    4 publications · 208 citations

    4

    h-index

  5. SK
    Scott K. Sakaluk

    Illinois State University, United States

    4 publications · 107 citations

    4

    h-index

1–5 of 250

Venues

  1. Evolution

    17 publications · 2.1K citations

    16

    h-index

  2. Journal of Evolutionary Biology

    JEB · 9 publications · 352 citations

    9

    h-index

  3. The American Naturalist

    AN · 5 publications · 622 citations

    5

    h-index

  4. Ecology and Evolution

    4 publications · 91 citations

    4

    h-index

  5. Genetics

    4 publications · 127 citations

    4

    h-index

1–5