Optimal Linear Index

Optimal Linear Index is a selection index—a linear combination of observed phenotypic traits weighted to maximize the correlation with breeding value—that is derived under the condition of multivariate normality and minimal prediction error to achieve the highest possible genetic gain per unit of selection effort.

33

Publications

1.5K

Citations

66

Authors

50

Institutions

Publications per year

2017–2026

3

Authors

66

  1. IH
    Ishay Haviv

    Academic College of Tel Aviv-Yafo, Israel

    3 publications · 86 citations

    3

    h-index

  2. LO
    Lawrence Ong

    Institute for Infocomm Research, Singapore

    3 publications · 163 citations

    3

    h-index

  3. CK
    Chin Keong Ho

    Institute for Infocomm Research, Singapore

    3 publications · 163 citations

    3

    h-index

  4. SH
    Son Hoang Dau

    University of Illinois Urbana-Champaign, United States

    2 publications · 47 citations

    2

    h-index

  5. VS
    Vitaly Skachek

    University of Tartu, Estonia

    2 publications · 47 citations

    2

    h-index

1–5 of 66

Venues

  1. Animal Science

    2 publications · 52 citations

    2

    h-index

  2. IEEE Transactions on Information Theory

    2 publications · 107 citations

    2

    h-index

  3. Operations Research

    1 publications · 10 citations

    1

    h-index

  4. Journal of Dairy Science

    JDS · 1 publications · 15 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 12 citations

    1

    h-index

1–5