Evidence map›Paper›PMID 42129339›Full record

ArticleScientific reports2026

Multi-traits and stability-based selection of high-yielding mungbean (Vigna radiata L.) genotypes in Benin.

Kpedetin Ariel Frejus Sodedji, Essedjlo Symphorien Ahomondji, Konoutan Medard Kafoutchoni, Sergino Ayi, Etchikinto Eric Agoyi, Djidjoho Arsene Thierry Hodehou, Mathieu Anatole Tele Ayenan, Flora Josiane Chadare, Kim Ho-Youn, Roland Schafleitner and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Kpedetin Ariel Frejus SodedjiNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin. frejusariel@gmail.com.
Essedjlo Symphorien AhomondjiNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Konoutan Medard KafoutchoniNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Sergino AyiNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Etchikinto Eric AgoyiNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Djidjoho Arsene Thierry HodehouNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Mathieu Anatole Tele AyenanWorld Vegetable Center, West and Central Africa, Coastal and Humid Regions, Cotonou, Benin.
Flora Josiane ChadareLaboratoire des Sciences et Technologies de l'Alimentation et des Bioressources et de la Nutrition Humaine (LaSTABNH), Centre Universitaire de Sakété, Université Nationale d'Agriculture (UNA), Sakété, Benin.
Kim Ho-YounSmart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung, South Korea.
Roland SchafleitnerWorld Vegetable Center Mexico Office Hosted By International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz, Texcoco, Mexico.
Ramakrishnan Madhavan NairWorld Vegetable Center, ICRISAT Campus, Patancheru, Hyderabad, Telangana, India.
Achille Ephrem AssogbadjoNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.
Brice SinsinNon-Timber Forest Products and Orphan Crop Species Unit, Laboratory of Applied Ecology (LEA), University of Abomey-Calavi (UAC), Cotonou, Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mungbean [Vigna radiata (L.) R. Wilczek var. radiata] is an important warm season grain legume for sustainable food systems diversification in Africa owing to its nutrient-dense seeds, short life cycle, resilience to marginal conditions and its suitability for integration into crop rotation systems. This study evaluated the performance of 288 mungbean genotypes for yield and yield-related traits under contrasting environments. The experiment was conducted in 2024 using a 12 × 24 alpha lattice design with three replications across three agro-ecological zones in Benin. A total of 13 quantitative traits were analyzed using linear mixed models to estimate genetic parameters, and the Additive Main effects and Multiplicative Interaction (AMMI), Weighted Average Absolute Scores from BLUP (WAASB), and Multi-Trait Genotype Ideotype Distance Index (MGIDI) approaches for selecting superior genotypes. Significant genetic variability and genotype × environment interactions (G × E) were detected for all traits. Adjusted mean grain yield showed wide differences in adaptability among genotypes. Grain yield and related traits exhibited low broad-sense heritability (H

Indexed as

VignaBeninGene-Environment InteractionGenetic VariationGenotypePhenotypePlant BreedingSeedsAgri-food systemsG × ELegumeMGIDIMungbeanStability

Identifiers

PMID42129339
PMCPMC13365573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.