Optimal Cross Selection

Optimal Cross Selection is a breeding program optimization method that identifies the most genetically advantageous mating pairs by maximizing desired trait inheritance while minimizing inbreeding and maintaining genetic diversity.

9

Publications

612

Citations

30

Authors

18

Institutions

Publications per year

2017–2026

6

Authors

30

  1. SY
    Shouping Yang

    Nanjing Agricultural University, China

    2 publications · 84 citations

    2

    h-index

  2. GX
    Guangnan Xing

    Nanjing Agricultural University, China

    2 publications · 84 citations

    2

    h-index

  3. JH
    Jianbo He

    Nanjing Agricultural University, China

    2 publications · 84 citations

    2

    h-index

  4. SM
    Shan Meng

    Jiangsu Academy of Agricultural Sciences, China

    2 publications · 84 citations

    2

    h-index

  5. AC
    Alain Charcosset

    Centre National de la Recherche Scientifique, France

    2 publications · 197 citations

    2

    h-index

1–5 of 30

Venues

  1. Theoretical and Applied Genetics

    3 publications · 332 citations

    3

    h-index

  2. Frontiers in Plant Science

    2 publications · 51 citations

    2

    h-index

  3. Frontiers in Genetics

    1 publications · 93 citations

    1

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. Euphytica

    1 publications · 15 citations

    1

    h-index

1–5