Robust Selection Indexes

Robust Selection Indexes is a selection index method designed to maintain consistent performance across diverse genetic architectures and environmental conditions by minimizing sensitivity to deviations from underlying assumptions through the incorporation of robust statistical techniques.

10

Publications

346

Citations

32

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

32

  1. MH
    Márcio Henrique Pereira Barbosa

    Universidade Federal de Viçosa, Brazil

    1 publications · 19 citations

    1

    h-index

  2. HA
    H. Andersen

    Albert Einstein College of Medicine, United States

    1 publications · 16 citations

    1

    h-index

  3. MP
    Mogens Plum

    University of Nebraska–Lincoln, United States

    1 publications · 16 citations

    1

    h-index

  4. LA
    Luis A. Apiolaza

    University of Canterbury, New Zealand

    1 publications · 12 citations

    1

    h-index

  5. SG
    Solomon Gizaw

    Debre Berhan University, Ethiopia

    1 publications · 83 citations

    1

    h-index

1–5 of 32

Venues

  1. Journal of Animal Breeding and Genetics

    2 publications · 61 citations

    2

    h-index

  2. Theoretical and Applied Genetics

    1 publications · 75 citations

    1

    h-index

  3. Scientia Agraria

    1 publications · 19 citations

    1

    h-index

  4. Livestock Science

    1 publications · 83 citations

    1

    h-index

  5. Archiv für Geflügelkunde

    1 publications · 10 citations

    1

    h-index

1–5