Cross Prediction

Cross Prediction is a statistical methodology within marker-assisted recurrent selection that predicts the genetic performance of untested crosses based on genomic estimated breeding values and parental haplotype information.

114

Publications

7K

Citations

440

Authors

191

Institutions

Publications per year

2017–2026

55

Authors

440

  1. RB
    Rex Bernardo

    University of Minnesota, United States

    7 publications · 575 citations

    7

    h-index

  2. AE
    Albrecht E. Melchinger

    University of Hohenheim, Germany

    4 publications · 356 citations

    5

    h-index

  3. PD
    P. D. S. Caligari

    University of Reading, United Kingdom

    5 publications · 147 citations

    5

    h-index

  4. CS
    Chris‐Carolin Schön

    Technical University of Munich, Germany

    3 publications · 532 citations

    4

    h-index

  5. AJ
    Aaron J. Lorenz

    University of Minnesota, United States

    4 publications · 282 citations

    4

    h-index

1–5 of 440

Venues

  1. Theoretical and Applied Genetics

    17 publications · 1.1K citations

    15

    h-index

  2. Crop Science

    11 publications · 821 citations

    11

    h-index

  3. Heredity

    5 publications · 112 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 95 citations

    4

    h-index

  5. Scientific Reports

    3 publications · 93 citations

    3

    h-index

1–5