Multi-environment Genomic Selection

Multi-Environment Genomic Selection is a genomic prediction methodology that integrates genotype-by-environment interaction effects into the modeling framework to improve the accuracy of breeding value estimation across multiple environmental conditions.

121

Publications

10.9K

Citations

532

Authors

208

Institutions

Publications per year

2017–2026

85

Authors

532

  1. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    26 publications · 3.6K citations

    24

    h-index

  2. OA
    Osval A. Montesinos‐López

    Universidad de Colima, Mexico

    12 publications · 1K citations

    12

    h-index

  3. PP
    Paulino Pérez‐Rodríguez

    Colegio de Postgraduados, Mexico

    11 publications · 1.8K citations

    11

    h-index

  4. ME
    Mark E. Sorrells

    Cornell University, United States

    8 publications · 1K citations

    8

    h-index

  5. JP
    Jesse Poland

    Kansas State University, United States

    8 publications · 1.1K citations

    8

    h-index

1–5 of 532

Venues

  1. Crop Science

    15 publications · 2.3K citations

    15

    h-index

  2. Theoretical and Applied Genetics

    13 publications · 1.1K citations

    13

    h-index

  3. G3 Genes Genomes Genetics

    14 publications · 1.1K citations

    13

    h-index

  4. The Plant Genome

    9 publications · 845 citations

    9

    h-index

  5. Frontiers in Plant Science

    9 publications · 291 citations

    9

    h-index

1–5