Relationship Matrix Construction

Relationship Matrix Construction is a computational method in pedigree analysis that formalizes genetic relatedness among individuals by representing pairwise kinship coefficients in a structured matrix format, thereby enabling quantitative assessment of familial dependencies within a population.

135

Publications

12.6K

Citations

486

Authors

227

Institutions

Publications per year

2017–2026

40

Authors

486

  1. IM
    I. Misztal

    University of Georgia, United States

    11 publications · 3.3K citations

    11

    h-index

  2. AL
    Andrés Legarra

    Génétique Physiologie et Systèmes d'Elevage, France

    8 publications · 3.1K citations

    8

    h-index

  3. IA
    Ignácio Aguilar

    Instituto Nacional de Investigación Agropecuaria, Uruguay

    6 publications · 3K citations

    6

    h-index

  4. CH
    Charles Henderson

    Cornell University, United States

    6 publications · 1.3K citations

    6

    h-index

  5. RP
    Ricardo Pong‐Wong

    Roslin Institute, United Kingdom

    4 publications · 222 citations

    4

    h-index

1–5 of 486

Venues

  1. Genetics Selection Evolution

    GSE · 13 publications · 961 citations

    13

    h-index

  2. Journal of Animal Science

    13 publications · 616 citations

    12

    h-index

  3. Journal of Dairy Science

    JDS · 11 publications · 3.2K citations

    11

    h-index

  4. Journal of Animal Breeding and Genetics

    8 publications · 469 citations

    8

    h-index

  5. PLoS ONE

    5 publications · 350 citations

    5

    h-index

1–5