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Examining the relationships between phenotypic plasticity and local environments with genomic structural equation models
AbstractEnvironmental association analyses (EAA) seek to identify genetic variants associated with local adaptation by regressing local environmental conditions at collection sites on genome-wide polymorphisms. The rationale is that environmental conditions impose selective pressure on trait(s), and these traits are regulated in part by variation at a genomic level. Here, we present an alternative multivariate genomic approach that can be utilized when both phenotypic and environmental data aredoi:10.1101/2019.12.11.873257 fatcat:ckm27n44zrarnd5pbxjdicdqnu