Evidence map›Paper›PMID 40892151›Full record

ReviewMolecular genetics and genomics : MGG2025

Advanced techniques and applications in fennel (Foeniculum vulgare Mill.) breeding.

R Refika Akçali Giachino, Gülsüm Boztaş

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular genetics and genomics : MGG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

R Refika Akçali GiachinoDepartment of Field Crops, Faculty of Agriculture, University Ege, 35100, İzmir, Turkey.ORCID http://orcid.org/0000-0002-6473-7250
Gülsüm BoztaşDepartment of Field Crops, Faculty of Agriculture, University Ege, 35100, İzmir, Turkey. gulsumboztas@gmail.com.ORCID http://orcid.org/0000-0002-6424-6929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fennel (Foeniculum vulgare Mill.) is a widely cultivated medicinal and aromatic plant valued for its essential oils used in pharmaceutical, culinary, and industrial applications. Breeding activities for fennel have been historically limited, but recent genomic advances have revealed substantial genetic diversity and variability among its populations, offering new opportunities to improve yield, oil composition, and stress resilience. Studies using molecular markers including RAPD, ISSR, SSR, and SNPs have characterized the genetic structure of fennel germplasm and identified key loci for traits such as seed yield, essential oil profile, and disease tolerance. Quantitative trait locus (QTL) mapping and principal component analysis (PCA) have refined genotype selection. Transcriptomic studies related to t-anethole biosynthesis and expression profiles under stress conditions have enabled functional gene discovery. Biotechnological tools such as callus induction, doubled haploid protocols, and in vitro selection techniques have emerged as adjunct strategies to accelerate breeding outcomes. Integration of classical breeding methods with molecular and biotechnological approaches enables precision breeding of fennel cultivars tailored for modern agricultural needs. Enhancing genetic diversity utilization and targeting key traits will support the development of high-performing, resilient varieties. This direction advances both the sustainability of fennel cultivation and its utility in agro-industrial sectors.

Indexed as

FoeniculumPlant BreedingGenetic VariationOils, VolatileQuantitative Trait LociOils, VolatileBreeding strategiesEssential oilFoeniculum vulgareGenetic diversityMarker-assisted selectionMolecular markers

Identifiers

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.