Multi-omics prediction of terpene constituents and phenolic traits in Eucalyptus globulus using Bayesian models and tree-based machine learning.

Abstract excerpt

BACKGROUND: Terpenes and phenolic compounds are multifunctional plant metabolites that contribute to defense, signaling, and ecological interactions, while supporting industrial applications. Here, we implemented an integrative multi-omics framework to dissect the genetic and metabolic architecture of biobased compound production in a Eucalyptus globulus breeding population, a tree species of global economic...

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