Gca Effects Estimation

GCA Effects Estimation is a statistical methodology within plant and animal breeding that quantifies the average performance contribution of a parent in hybrid combinations, distinguishing it from other breeding value estimation techniques by focusing specifically on additive genetic variance components.

156

Publications

4.1K

Citations

558

Authors

142

Institutions

Publications per year

2017–2026

26

Authors

558

  1. MS
    Manjit S. Kang

    Louisiana State University Agricultural Center, United States

    9 publications · 754 citations

    9

    h-index

  2. YZ
    Yudong Zhang

    Yunnan Academy of Agricultural Sciences, China

    4 publications · 531 citations

    4

    h-index

  3. XF
    Xingming Fan

    Yunnan Academy of Agricultural Sciences, China

    4 publications · 196 citations

    4

    h-index

  4. MA
    Magno Antônio Patto Ramalho

    Universidade Federal de Lavras, Brazil

    4 publications · 85 citations

    4

    h-index

  5. AE
    Albrecht E. Melchinger

    University of Hohenheim, Germany

    3 publications · 166 citations

    3

    h-index

1–5 of 558

Venues

  1. Crop Science

    27 publications · 900 citations

    19

    h-index

  2. Plant Breeding

    10 publications · 283 citations

    10

    h-index

  3. Euphytica

    4 publications · 140 citations

    4

    h-index

  4. 4

    h-index

  5. Silvae genetica/Silvae Genetica

    3 publications · 84 citations

    3

    h-index

1–5