Evidence map›Paper›PMID 42101056›Full record

ArticleThe plant genome2026

Genetic architecture of phenological, morphological, and phytochemical traits in Cannabis landraces.

Mehdi Babaei, Davoud Torkamaneh

Abstract read
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mehdi BabaeiDépartement de phytologie, Université Laval, Québec City, Québec, Canada.ORCID https://orcid.org/0000-0002-0647-0391
Davoud TorkamanehDépartement de phytologie, Université Laval, Québec City, Québec, Canada.ORCID https://orcid.org/0000-0002-9782-5695

Funding

Natural Sciences and Engineering Research Council (NSERC) ALLRP 591842 - 23
6 · The paper itself

Abstract

Despite its long history of cultivation and diverse applications, Cannabis sativa remains underexplored at the genomic level, particularly in landrace populations that harbor untapped genetic diversity. In this study, we investigated the genetic architecture of 145 Iranian cannabis landrace accessions, including both male and female plants, using 233K common SNPs and genome-wide association studies. Our analysis revealed three genetically distinct subpopulations shaped by geography, climate, and traditional cultivation practices. We identified 91 significant genomic regions associated with 40 phenological, morphological, and phytochemical traits, including 15 key loci with pleiotropic effects linked to multiple traits, including flowering time, plant architecture, biomass accumulation, and cannabinoid biosynthesis. These findings highlight the complex interplay between developmental and metabolic pathways in cannabis. The high heritability of most traits and rapid linkage disequilibrium decay underscore the potential of these landraces for high-resolution mapping and genetic improvement. This work provides a valuable genomic resource for marker-assisted selection, supporting the development of improved cultivars with tailored cannabinoid profiles and agronomic traits.

Indexed as

CannabisCannabinoidsGenome-Wide Association StudyLinkage DisequilibriumPhenotypePhytochemicalsPolymorphism, Single NucleotideQuantitative Trait LociCannabinoidsPhytochemicals

Identifiers

PMID42101056
PMCPMC13155046

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.