Mixed Model Selection Index

A Mixed Model Selection Index is a selection index that incorporates both fixed and random effects in a unified statistical framework to optimize the prediction of genetic or breeding values by accounting for systematic environmental influences and genetic relationships simultaneously.

5

Publications

474

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

9

  1. LV
    L.D. Van Vleck

    Cornell University, United States

    1 publications · 14 citations

    1

    h-index

  2. BR
    B. R. Cullis

    Wagga Wagga Base Hospital, Australia

    1 publications · 149 citations

    1

    h-index

  3. RQ
    R.L. Quaas

    Cornell University, United States

    1 publications · 14 citations

    1

    h-index

  4. MÁ
    M. Á. Toro

    Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Spain

    1 publications · 12 citations

    1

    h-index

  5. SG
    Stewart Greenhalgh

    ETH Zurich, Switzerland

    1 publications · 14 citations

    1

    h-index

1–5 of 9

Venues

  1. Livestock Production Science

    1 publications · 22 citations

    1

    h-index

  2. Journal of Animal Science

    1 publications · 12 citations

    1

    h-index

  3. Euphytica

    1 publications · 149 citations

    1

    h-index

  4. Journal of Dairy Science

    JDS · 1 publications · 14 citations

    1

    h-index

  5. Genetics

    1 publications · 277 citations

    1

    h-index

1–5