Selection Response Estimation

Selection Response Estimation is a methodological framework within quantitative genetics that quantifies the change in the mean trait value of a population across generations due to selective breeding by predicting the genetic gain achieved from the selection of individuals with favorable phenotypic or genotypic values.

310

Publications

20.6K

Citations

749

Authors

266

Institutions

Publications per year

2017–2026

33

Authors

749

  1. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    12 publications · 1.6K citations

    12

    h-index

  2. PB
    Piter Bijma

    Wageningen University & Research, Netherlands

    7 publications · 1.1K citations

    7

    h-index

  3. AB
    A. Blasco

    Universitat Politècnica de València, Spain

    6 publications · 431 citations

    6

    h-index

  4. BW
    B. W. Kennedy

    University of Guelph, Canada

    6 publications · 373 citations

    6

    h-index

  5. WM
    William M. Muir

    Purdue University West Lafayette, United States

    6 publications · 975 citations

    6

    h-index

1–5 of 749

Venues

  1. Journal of Animal Science

    34 publications · 2.5K citations

    25

    h-index

  2. Genetics

    22 publications · 2.3K citations

    20

    h-index

  3. Genetics Selection Evolution

    GSE · 21 publications · 1.1K citations

    18

    h-index

  4. Animal Science

    22 publications · 1.3K citations

    18

    h-index

  5. Crop Science

    18 publications · 743 citations

    17

    h-index

1–5