Cross-validation Of Breeding Value

Cross-Validation of Breeding Value is a methodological procedure in quantitative genetics that involves partitioning phenotypic and genotypic data into training and testing subsets to assess the predictive accuracy and robustness of estimated breeding values by minimizing overfitting and ensuring generalizability across populations.

20

Publications

1.7K

Citations

99

Authors

35

Institutions

Publications per year

2017–2026

8

Authors

99

  1. JJ
    Jean‐Luc Jannink

    Cornell University, United States

    3 publications · 649 citations

    3

    h-index

  2. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    2 publications · 76 citations

    2

    h-index

  3. DJ
    Dorian J. Garrick

    Massey University, New Zealand

    2 publications · 265 citations

    2

    h-index

  4. JC
    Jack C. M. Dekkers

    Iowa State University, United States

    2 publications · 274 citations

    2

    h-index

  5. RL
    Rohan L. Fernando

    Iowa State University, United States

    2 publications · 274 citations

    2

    h-index

1–5 of 99

Venues

  1. Journal of Animal Science

    3 publications · 83 citations

    3

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  2. Theoretical and Applied Genetics

    3 publications · 111 citations

    3

    h-index

  3. The Plant Genome

    3 publications · 662 citations

    3

    h-index

  4. Poultry Science

    1 publications · 46 citations

    1

    h-index

  5. BMC Proceedings

    1 publications · 42 citations

    1

    h-index

1–5