Genomic prediction of cereal crop architecture traits using models informed by gene regulatory circuitries from maize
Edoardo Bertolini, Mohith Manjunath, Weihao Ge, Matthew D. Murphy, Mirai Inaoka, Christina E. Fliege, Andrea L. Eveland, Alexander Edward Lipka
The paper uses gene regulatory networks from maize to inform genomic prediction models for plant architecture traits, finding that markers near highly connected transcription factors improve prediction accuracy in maize and related crops.
bioRxiv · Aug 1, 2024 · PreprintGenetics