Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabis.

The Plant journal : for cell and molecular biology - 1 Jan 2025

Yoosefzadeh Najafabadi Mohsen, Torkamaneh Davoud

Abstract excerpt

Cannabis sativa L., known for its medicinal and psychoactive properties, has recently experienced rapid market expansion but remains understudied in terms of its fundamental biology due to historical prohibitions. This pioneering study implements GS and ML to optimize cannabinoid profiles in cannabis breeding. We analyzed a representative population of drug-type cannabis accessions, quantifying major cannabinoids...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bayes Theorem
Share to Cannabinoids
Share to Cannabis

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genome, Plant

Share to Genomics

Share to Machine Learning

Share to Plant Breeding

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 39602132
DOI: 10.1111/tpj.17164
PMCID: PMC11711876

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 22 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabis.PMID 39602132Read ↗

Discovery of major QTL and a massive haplotype associated with cannabinoid biosynthesis in drug-type Cannabis.Semantic proximity Read ↗

HASCH - A high-throughput amplicon-based SNP-platform for medicinal cannabis and industrial hemp genotyping applications.Semantic proximity Read ↗

Genetic architecture of phenological, morphological, and phytochemical traits in Cannabis landraces.Semantic proximity Read ↗

The genetics of Cannabis-genomic variations of key synthases and their effect on cannabinoid content.Semantic proximity Read ↗

Genetic insights into agronomic and morphological traits of drug-type cannabis revealed by genome-wide association studies.Semantic proximity Read ↗

Whole-Genome Resequencing of Wild and Cultivated Cannabis Reveals the Genetic Structure and Adaptive Selection of Important TraitsSemantic proximity Read ↗

Validating a predictive model of cannabinoid inheritance with feral, clinical, and industrial Cannabis sativaSemantic proximity Read ↗

Whole-genome resequencing of wild and cultivated cannabis reveals the genetic structure and adaptive selection of important traits.Semantic proximity Read ↗

Can public online databases serve as a source of phenotypic information for Cannabis genetic association studies?Semantic proximity Read ↗

An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples.Semantic proximity Read ↗

In silico analysis enabling informed design for genome editing in medicinal cannabis; gene families and variant characterisation.Semantic proximity Read ↗

Early Detection of Sex and Cannabinoid Chemotypes in Cannabis sativa: SCAR Marker Validation in Indigenous Indian Germplasm.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.