Using deep learning models as a genetic architecture for the simulation of breeding schemes
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T13:51:28.182Z