Using deep learning models as a genetic architecture for the simulation of breeding schemes

Olumide Onabanjo, Theo Meuwissen, Hans Magnus Gjøen, Emre Karaman, Thinh T Chu, Peer Berg

Open source

DOI
10.1093/g3journal/jkag187
Published
2026-07-09
Container
G3: Genes, Genomes, Genetics
Publisher
Oxford University Press (OUP)
Open access
unknown

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BibTeX

@article{allodium:10.1093/g3journal/jkag187,
  title = {Using deep learning models as a genetic architecture for the simulation of breeding schemes},
  author = {Olumide Onabanjo and Theo Meuwissen and Hans Magnus Gjøen and Emre Karaman and Thinh T Chu and Peer Berg},
  year = {2026},
  journal = {G3: Genes, Genomes, Genetics},
  doi = {10.1093/g3journal/jkag187},
  url = {https://doi.org/10.1093/g3journal/jkag187}
}

RIS

TY  - JOUR
TI  - Using deep learning models as a genetic architecture for the simulation of breeding schemes
AU  - Olumide Onabanjo
AU  - Theo Meuwissen
AU  - Hans Magnus Gjøen
AU  - Emre Karaman
AU  - Thinh T Chu
AU  - Peer Berg
PY  - 2026
JO  - G3: Genes, Genomes, Genetics
DO  - 10.1093/g3journal/jkag187
UR  - https://doi.org/10.1093/g3journal/jkag187
ER  - 

APA

Onabanjo, O., Meuwissen, T., Gjøen, H. M., Karaman, E., Chu, T. T., & Berg, P. (2026). Using deep learning models as a genetic architecture for the simulation of breeding schemes. G3: Genes, Genomes, Genetics. https://doi.org/10.1093/g3journal/jkag187

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