Selection Index Theory

Selection Index Theory is a statistical framework in quantitative genetics that combines multiple trait measurements and their genetic parameters into a single predictive index to optimize the accuracy of selection for complex polygenic traits.

246

Publications

18.9K

Citations

661

Authors

243

Institutions

Publications per year

2017–2026

45

Authors

661

  1. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    7 publications · 220 citations

    7

    h-index

  2. TG
    Trygve Gjedrem

    Akvaforsk Genetics Center (Norway), Norway

    5 publications · 196 citations

    5

    h-index

  3. PB
    Piter Bijma

    Wageningen University & Research, Netherlands

    5 publications · 464 citations

    5

    h-index

  4. JJ
    J. Jesús Cerón‐Rojas

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    5 publications · 167 citations

    5

    h-index

  5. MC
    M.P.L. Calus

    Wageningen University & Research, Netherlands

    5 publications · 178 citations

    5

    h-index

1–5 of 661

Venues

  1. Crop Science

    14 publications · 611 citations

    13

    h-index

  2. Journal of Dairy Science

    JDS · 12 publications · 1.1K citations

    12

    h-index

  3. Journal of Animal Science

    14 publications · 1K citations

    11

    h-index

  4. Genetics

    9 publications · 1.8K citations

    9

    h-index

  5. Theoretical and Applied Genetics

    9 publications · 392 citations

    9

    h-index

1–5