A framework for identifying the polyploid complex in Rorippa (Brassicaceae): combining trait evolution, herbarium records, and machine learning

Our findings underscore the need for secondary specimen evaluation. The framework demonstrates the importance of integrating morphologic and phylogenetic inference with machine learning tools to resolve taxonomically difficult polyploid complexes. This approach offers direct applications for biodiversity assessment, evolutionary research, and conservation planning.