Applying interpretable machine learning to assess intraspecific trait divergence under landscape‐scale population differentiation

Abstract Premise Here we demonstrate the application of interpretable machine learning methods to investigate intraspecific functional trait divergence using diverse genotypes of the wide‐ranging sunflower Helianthus annuus occupying populations across two contrasting ecoregions—the Great Plains ver...

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Bibliographic Details
Main Authors: Sambadi Majumder, Chase M. Mason
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Applications in Plant Sciences
Subjects:
Online Access:https://doi.org/10.1002/aps3.70015
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