Evidence map›Paper›PMID 39920462›Full record

ArticleG3 (Bethesda, Md.)2025

Genome-wide association studies dissect the genetic architecture of seed and yield component traits in cowpea (Vigna unguiculata L. Walp).

Habib Akinmade, Rebecca Caroline Ulbricht Ferreira, Mario Henrique Murad Leite Andrade, Claudio Fernandes, Pablo Sipowicz, María Muñoz-Amatriaín, Esteban Rios

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Habib AkinmadePlant Breeding Graduate Program, University of Florida, Gainesville, FL 32611, USA.
Rebecca Caroline Ulbricht FerreiraMolecular Biology and Genetic Engineering Center, University of Campinas, Campinas, SP 13083-875, Brazil.
Mario Henrique Murad Leite AndradeSchool of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
Claudio FernandesAgronomy Department, University of Florida, Gainesville, FL 32611, USA.
Pablo SipowiczPlant Breeding Graduate Program, University of Florida, Gainesville, FL 32611, USA.
María Muñoz-AmatriaínDepartamento de Biología Molecular (Área Genética), Universidad de León, León 24071, Spain.
Esteban RiosAgronomy Department, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0003-3389-7195

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/19219-6Plant Breeding Graduate Initiative of University of Florida
6 · The paper itself

Abstract

The identification of loci related to seed and yield component traits in cowpea constitutes a key step for improvement through marker-assisted selection (MAS). Furthermore, seed morphology has an impact on industrial processing and influences consumer and farmer preferences. In this study, we performed genome-wide association studies (GWAS) on a mini-core collection of cowpea to dissect the genetic architecture and detect genomic regions associated with seed morphological traits and yield components. Phenotypic data were measured both manually and by high-throughput image-based approaches to test associations with 41,533 single nucleotide polymorphism markers using the FarmCPU model. From genome-associated regions, we also investigated putative candidate genes involved in the variation of the phenotypic traits. We detected 42 marker-trait associations for pod length and 100-seed weight, length, width, perimeter, and area of the seed. Candidate genes encoding leucine-rich repeat-containing (LRR) and F-box proteins, known to be associated with seed size, were identified; in addition, we identified candidate genes encoding PPR (pentatricopeptide repeat) proteins, recognized to have an important role in seed development in several crops. Our findings provide insights into natural variation in cowpea for yield-related traits and valuable information for MAS breeding strategies in this and other closely related crops.

Indexed as

Genome, PlantGenome-Wide Association StudyQuantitative Trait, HeritableSeedsVignaChromosome MappingGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait Locigrain yieldGWASimage-based phenotypingseed morphologyVigna unguiculata

Identifiers

PMID39920462
PMCPMC12005157

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LicenceCC BY
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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.