Metabolic Pathway Breeding
Metabolic pathway breeding refers to selective cultivation practices targeting specific plant biochemical processes that produce cannabinoids, terpenes, and other secondary metabolites. Rather than breeding for single traits, metabolic pathway breeders work to enhance or suppress entire enzymatic cascades—the sequential chemical reactions that convert precursors into desired compounds. This approach requires understanding how genes regulate enzymes like CBDA synthase, limonene synthase, or myrcene production at the molecular level. Lineage records frequently report that breeders using metabolic pathway selection develop plants with distinct aromatic profiles, resin composition, and cannabinoid ratios by targeting the underlying biochemical machinery. This breeding strategy represents a bridge between classical phenotype selection and modern genomic-assisted breeding.
Metabolic Pathway Breeding strains
No strains tagged into Metabolic Pathway Breeding yet — they'll appear here as breeders submit lineage records under this family.
Metabolic pathway breeding refers to selective cultivation practices targeting specific plant biochemical processes that produce cannabinoids, terpenes, and other secondary metabolites. Rather than breeding for single traits, metabolic pathway breeders work to enhance or suppress entire enzymatic cascades—the sequential chemical reactions that convert precursors into desired compounds. This approach requires understanding how genes regulate enzymes like CBDA synthase, limonene synthase, or myrcene production at the molecular level. Lineage records frequently report that breeders using metabolic pathway selection develop plants with distinct aromatic profiles, resin composition, and cannabinoid ratios by targeting the underlying biochemical machinery. This breeding strategy represents a bridge between classical phenotype selection and modern genomic-assisted breeding.
Breeders employing metabolic pathway selection use lab testing (HPLC, GC-MS) to identify and stabilize lines with favorable enzyme expression patterns. This data-driven approach allows more predictable control over terpene and cannabinoid production across generations compared to phenotype-only selection.
Educational reference · Cultivar metadata only · No medical claims