Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.
Journal:
BMC plant biology
Published Date:
Aug 9, 2025
Abstract
BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm diversity and trait architecture. This study characterized a cacao collection (173 accessions) evaluated in Puerto Rico, examining phenotypic diversity, trait interrelationships, and performing comparative analyses with published Trinidad and Colombia datasets. We also developed machine learning (ML) models for yield prediction and identified yield-associated SNP markers.