Evidence map›Paper›PMID 41926458›Full record

ArticlePloS one2026

Multi-trait selection for drought-tolerant soybean accessions under contrasting water regimes.

Tenena Silue, Bunmi Olasanmi, Adeyinka Saburi Adewumi, Paterne Angelot Agre, Idris Ishola Adejumobi, Paul Olabode Kehinde, Godfree Chigeza, Abush Tesfaye Abebe

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tenena SiluePan African University Life and Earth Science Institute, University of Ibadan, Ibadan, Nigeria.ORCID https://orcid.org/0009-0008-7107-3481
Bunmi OlasanmiDepartment of Crop and Horticultural Sciences, University of Ibadan, Ibadan, Nigeria.ORCID https://orcid.org/0000-0002-8427-7992
Adeyinka Saburi AdewumiInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Paterne Angelot AgreInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Idris Ishola AdejumobiInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Paul Olabode KehindeInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Godfree ChigezaInternational Institute of Tropical Agriculture, Southern Africa Research and Administration Hub (SARAH) Campus, Lusaka, Zambia.
Abush Tesfaye AbebeInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean, a crucial source of protein and oil, faces significant yield reductions due to water stress, particularly at the flowering and pod-filling stages. This study evaluated 150 accessions from the Soybean Breeding Program of the International Institute of Tropical Agriculture (IITA) in Ibadan, Nigeria, under both well-watered and water-stressed conditions across two growing seasons using a multi-trait selection. Intermittent water stress was imposed at critical reproductive stages (35 and 63 DAS).Significant genetic variation (p < 0.001) was observed for all traits under bothwater regimes.Broad-sense heritability estimates ranged from 21.56% to 86.56%, with the highest values observed for lodging score and days to 50% flowering.. Grain yield under stress correlated positively with yield in non-stress conditions (r = 0.38), while hundred-seed weight showed consistent positive associations with yield across water regimes. The multi-trait genotype-ideotype distance index (MGIDI) identified 30 superior accessions under each water regime, with eight consistently outstanding across both. Drought tolerance indices further supported the identification of high-yielding, resilient genotypes, with SY150 emerging as the most stable across all three selection approaches. These findings demonstrate that integrating MGIDI with drought tolerance indices provides a powerful approach for simultaneous selection of yield potential and stress resilience. The identified accessions represent promising candidates advancing water-deficit-tolerant soybean breeding in sub-Saharan Africa.

Indexed as

Drought ResistanceDroughtsGlycine maxAfrica South of the SaharaCrop ProductionCrops, AgriculturalGenetic VariationGenotypePhenotypePlant BreedingSelection, GeneticStress, PhysiologicalWaterWater

Identifiers

PMID41926458
PMCPMC13046122

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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.