Nonlinear Selection Indices

Nonlinear Selection Indices is a statistical methodology in quantitative genetics that extends traditional linear selection indices by incorporating nonlinear relationships among traits and their economic weights to improve the accuracy of predicting overall genetic merit.

24

Publications

1.6K

Citations

73

Authors

32

Institutions

Publications per year

2017–2026

2

Authors

73

  1. TM
    T.H.E. Meuwissen

    Norwegian University of Life Sciences, Norway

    2 publications · 43 citations

    2

    h-index

  2. ME
    Michael E. Goddard

    The University of Melbourne, Australia

    2 publications · 102 citations

    2

    h-index

  3. BM
    B.L. Muir

    University of Guelph, Canada

    1 publications · 671 citations

    1

    h-index

  4. MA
    Mark A. Brick

    Colorado State University, United States

    1 publications · 52 citations

    1

    h-index

  5. YI
    Y. Itoh

    AstraZeneca (Japan), Japan

    1 publications · 26 citations

    1

    h-index

1–5 of 73

Venues

  1. Journal of Dairy Science

    JDS · 6 publications · 1K citations

    6

    h-index

  2. Theoretical and Applied Genetics

    3 publications · 154 citations

    3

    h-index

  3. Livestock Production Science

    2 publications · 137 citations

    2

    h-index

  4. Animal Science

    2 publications · 43 citations

    2

    h-index

  5. Rice Science

    1 publications · 55 citations

    1

    h-index

1–5