Selection Index Optimization

Selection Index Optimization is a methodological framework in quantitative genetics that integrates heritable trait information and economic weights into a linear index to maximize genetic gain per unit time, distinguished by its focus on optimizing the weighting coefficients of individual traits to improve the efficiency and accuracy of multi-trait selection decisions in breeding programs.

60

Publications

2K

Citations

158

Authors

59

Institutions

Publications per year

2017–2026

14

Authors

158

  1. PB
    Piter Bijma

    Wageningen University & Research, Netherlands

    2 publications · 127 citations

    3

    h-index

  2. JP
    John P. Gibson

    University of New England, Australia

    2 publications · 110 citations

    2

    h-index

  3. WM
    William M. Muir

    Purdue University West Lafayette, United States

    2 publications · 36 citations

    2

    h-index

  4. TG
    Trygve Gjedrem

    Akvaforsk Genetics Center (Norway), Norway

    2 publications · 31 citations

    2

    h-index

  5. HS
    Henner Simianer

    University of Göttingen, Germany

    2 publications · 52 citations

    2

    h-index

1–5 of 158

Venues

  1. Animal Science

    6 publications · 376 citations

    6

    h-index

  2. Journal of Dairy Science

    JDS · 5 publications · 142 citations

    5

    h-index

  3. Theoretical and Applied Genetics

    4 publications · 251 citations

    4

    h-index

  4. Acta Agriculturae Scandinavica

    3 publications · 77 citations

    3

    h-index

  5. Euphytica

    2 publications · 91 citations

    3

    h-index

1–5