Evidence map›Paper›PMID 39738775›Full record

ArticleScientific reports2024

Unlocking genetic diversity for low-input systems in a changing climate through participatory characterization and GWAS of lentil landraces.

Elisa Lorenzetti, Mercy Wairimu Macharia, Svenja Mager, Matteo Dell'Acqua, Stefano Carlesi, Paolo Bàrberi

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Genomic dissection of phenological and yield-associated traits in lentil (Physiology and molecular biology of plants : an international journal of functional plant biology · 2026
    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

6 authors.

Elisa LorenzettiInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Mercy Wairimu MachariaInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Svenja MagerInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Matteo Dell'AcquaInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Stefano CarlesiInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy. stefano.carlesi@santannapisa.it.
Paolo BàrberiInstittue of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.

Funding

Partnership for Research and Innovation in the Mediterranean Area LEGU-MED
6 · The paper itself

Abstract

Lentils are a vital staple crop in a world seeking sustainable and secure food, but their cultivation face a threat due to yield instability, mainly arising from a lack of genetic diversity in breeding programmes. In this study, we assembled and characterized the genetic and phenotypic diversities of a collection of 106 lentil genotypes, to evaluate their breeding and cropping potential. Lentil landraces from Italy and beyond, either abandoned or still cultivated, were collected from genebanks, seed savers, universities and farmers. We characterized their phenotypic diversity with an augmented block design, using a control plot enabling a spatial analysis. We phenotyped the collection during two cropping seasons for its agronomic performance, involving local practitioners in a participatory variety evaluation. Meanwhile, we genotyped the landrace collection with a DNA sequencing approach, obtaining 91,136 high quality single nucleotide polymorphisms (SNPs). We used SNPs to describe the phylogenetic relation among landraces, unveiling their uniqueness, and combined SNP data with measured traits to conduct a genome-wide association study (GWAS) that led to the identification of 32 unique marker-trait associations highlighting lentil genomic loci related with adaptation and performance. The results of this study offer new tools to unlock agrobiodiversity for lentil breeding in the Mediterranean, towards the identification of genetic factors responsible for traits of agronomic interest and providing possible sources of parental material.

Indexed as

Genome-Wide Association StudyLens PlantPlant BreedingPolymorphism, Single NucleotideClimate ChangeCrops, AgriculturalGenetic VariationGenome, PlantGenotypePhenotypePhylogenyQuantitative Trait Loci

Identifiers

PMID39738775
PMCPMC11685781

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LicenceCC BY-NC-ND
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Registered trials

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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.