Breeding Objective Optimization

Breeding Objective Optimization is a computational framework within genetic improvement that formalizes the selection of optimal breeding goals by integrating economic, genetic, and trait-specific criteria to maximize long-term genetic gain while balancing competing objectives.

45

Publications

2K

Citations

140

Authors

50

Institutions

Publications per year

2017–2026

11

Authors

140

  1. JW
    John Woolliams

    Roslin Institute, United Kingdom

    4 publications · 122 citations

    4

    h-index

  2. JV
    J.A.M. van Arendonk

    Wageningen University & Research, Netherlands

    3 publications · 190 citations

    3

    h-index

  3. TJ
    T. J. Mullin

    Forestry Research Institute of Sweden, Sweden

    3 publications · 108 citations

    3

    h-index

  4. TM
    T.H.E. Meuwissen

    Norwegian University of Life Sciences, Norway

    3 publications · 70 citations

    3

    h-index

  5. BV
    Beatriz Villanueva

    Scottish Agricultural Science Agency, United Kingdom

    2 publications · 93 citations

    2

    h-index

1–5 of 140

Venues

  1. Journal of Dairy Science

    JDS · 7 publications · 417 citations

    7

    h-index

  2. Theoretical and Applied Genetics

    3 publications · 141 citations

    3

    h-index

  3. Journal of Animal Science

    2 publications · 42 citations

    2

    h-index

  4. Genetics Selection Evolution

    GSE · 2 publications · 68 citations

    2

    h-index

  5. Genetics

    2 publications · 237 citations

    2

    h-index

1–5