Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation.

Osatohanmwen BE, Vieira IC, Gholami M, Westhues CC, Sharifi AR, Beissinger TM

DOI: 10.3389/fpls.2026.1694707
Published: 2026
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1694707,
  title = {Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation.},
  author = {Osatohanmwen BE and Vieira IC and Gholami M and Westhues CC and Sharifi AR and Beissinger TM},
  year = {2026},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2026.1694707},
  url = {https://doi.org/10.3389/fpls.2026.1694707}
}

RIS

TY  - JOUR
TI  - Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation.
AU  - Osatohanmwen BE
AU  - Vieira IC
AU  - Gholami M
AU  - Westhues CC
AU  - Sharifi AR
AU  - Beissinger TM
PY  - 2026
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2026.1694707
UR  - https://doi.org/10.3389/fpls.2026.1694707
ER  -

APA

BE, O., IC, V., M, G., CC, W., AR, S., & TM, B. (2026). Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1694707

Source records

pubmed · retrieved 2026-09-26T14:27:51.917Z