Additive Main Effects Analysis

Additive Main Effects Analysis is a statistical model used in multi-environment trials that assumes genotype and environment effects are additive, with no interaction, to estimate and predict performance across environments by separating main effects from residual variation.

290

Publications

16.9K

Citations

1.1K

Authors

448

Institutions

Publications per year

2017–2026

76

Authors

1.1K

  1. HG
    Hugh G. Gauch

    Cornell University, United States

    15 publications · 2.5K citations

    13

    h-index

  2. JB
    Jan Bocianowski

    University of Life Sciences in Poznań, Poland

    11 publications · 476 citations

    11

    h-index

  3. KN
    Kamila Nowosad

    Wrocław University of Environmental and Life Sciences, Poland

    9 publications · 449 citations

    9

    h-index

  4. PA
    Paolo Annicchiarico

    Foraggere e Lattiero Casearie, Italy

    6 publications · 347 citations

    6

    h-index

  5. HP
    Hans‐Peter Piepho

    University of Hohenheim, Germany

    6 publications · 350 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Crop Science

    34 publications · 4.4K citations

    25

    h-index

  2. Theoretical and Applied Genetics

    8 publications · 645 citations

    8

    h-index

  3. Plant Breeding

    7 publications · 199 citations

    7

    h-index

  4. PLoS ONE

    7 publications · 260 citations

    7

    h-index

  5. Euphytica

    5 publications · 303 citations

    5

    h-index

1–5