Synthetic Population Development

Synthetic Population Development is a methodological framework in breeding population design that generates artificial populations through the integration of genetic, phenotypic, and environmental data to simulate realistic allelic distributions and linkage structures for the purpose of evaluating selection strategies and improving genetic gain predictions.

64

Publications

3.2K

Citations

271

Authors

114

Institutions

Publications per year

2017–2026

20

Authors

271

  1. MM
    Madhav Marathe

    Virginia Tech, United States

    2 publications · 151 citations

    2

    h-index

  2. OA
    Odd Arne Rognli

    Norwegian University of Life Sciences, Norway

    2 publications · 213 citations

    2

    h-index

  3. PE
    Paula E. Stretz

    Virginia Tech, United States

    2 publications · 151 citations

    2

    h-index

  4. KC
    Karthik C. Konduri

    Arizona State University, United States

    2 publications · 66 citations

    2

    h-index

  5. ML
    Maxime Lenormand

    Institute for Cross-Disciplinary Physics and Complex Systems, Spain

    2 publications · 102 citations

    2

    h-index

1–5 of 271

Venues

  1. 5

    h-index

  2. Crop Science

    4 publications · 108 citations

    4

    h-index

  3. 3

    h-index

  4. Aquaculture

    3 publications · 295 citations

    3

    h-index

  5. JAMA Network Open

    2 publications · 47 citations

    2

    h-index

1–5