Linear Selection Indices

Linear Selection Indices is a statistical methodology in quantitative genetics that combines multiple phenotypic or genotypic traits into a single linear function to predict breeding values and improve the efficiency of selection decisions in plant and animal breeding programs.

52

Publications

2.4K

Citations

129

Authors

50

Institutions

Publications per year

2017–2026

5

Authors

129

  1. LR
    Locke Rowe

    University of Toronto, Canada

    2 publications · 132 citations

    2

    h-index

  2. JA
    Juan A. Castillo‐Garit

    Universidad Central "Marta Abreu" de las Villas (UCLV), Cuba

    2 publications · 108 citations

    2

    h-index

  3. AG
    A.F. Groen

    Wageningen University & Research, Netherlands

    2 publications · 78 citations

    2

    h-index

  4. JJ
    J. Jesús Cerón‐Rojas

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    2 publications · 43 citations

    2

    h-index

  5. YM
    Yovani Marrero‐Ponce

    Universidad Central "Marta Abreu" de las Villas (UCLV), Cuba

    2 publications · 108 citations

    2

    h-index

1–5 of 129

Venues

  1. Livestock Production Science

    4 publications · 84 citations

    4

    h-index

  2. Crop Science

    4 publications · 112 citations

    4

    h-index

  3. Biometrics

    3 publications · 186 citations

    3

    h-index

  4. Journal of Dairy Science

    JDS · 3 publications · 788 citations

    3

    h-index

  5. Theoretical and Applied Genetics

    3 publications · 60 citations

    3

    h-index

1–5