Evidence map›Paper›PMID 42574601›Full record

ArticleG3 (Bethesda, Md.)2026

Multienvironment multilocus association mapping reveals genomic regions for drought-related traits in tropical maize.

Carina de Oliveira Anoni, Kaio Olímpio das Graças Dias, Martin Boer, Marcos Malosetti, Lauro José Moreira Guimarães, Paulo Evaristo de Oliveira Guimarães, Marcos José Andrade Viana, Maurício de Alvarenga Mudadu, Edson Alves Bastos, Milton José Cardoso and 7 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

17 authors.

Carina de Oliveira AnoniDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (ESALQ/USP), Av. Pádua Dias 11, Piracicaba, São Paulo 13418-900, Brazil.
Kaio Olímpio das Graças DiasDepartamento de Biologia Geral, Universidade Federal de Viçosa, Av. PH Rolfs s/n, Viçosa, Minas Gerais 36570-900, Brazil.ORCID 0000-0002-9171-1021
Martin BoerBiometris, Wageningen University and Research Center, Droevendaalsesteeg 2, Wageningen 6708 PB, The Netherlands.
Marcos MalosettiBiometris, Wageningen University and Research Center, Droevendaalsesteeg 2, Wageningen 6708 PB, The Netherlands.
Lauro José Moreira GuimarãesEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.ORCID 0000-0003-2413-2481
Paulo Evaristo de Oliveira GuimarãesEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.
Marcos José Andrade VianaEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.
Maurício de Alvarenga MudaduEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.
Edson Alves BastosEmbrapa Meio Norte, Rua Duque de Caxias 5650, Teresina, Piauí 64008-780, Brazil.
Milton José CardosoEmbrapa Meio Norte, Rua Duque de Caxias 5650, Teresina, Piauí 64008-780, Brazil.
Roberto Willians NodaEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.ORCID 0000-0002-8455-4793
Juliana E de C T YassitepeEmbrapa Agricultura Digital, Av. André Tosello 209, Campinas, São Paulo 13083-886, Brazil.
Jurandir Vieira de MagalhaesEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.
Antônio Augusto Franco GarciaDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (ESALQ/USP), Av. Pádua Dias 11, Piracicaba, São Paulo 13418-900, Brazil.ORCID 0000-0003-0634-3277
Fred van EeuwijkBiometris, Wageningen University and Research Center, Droevendaalsesteeg 2, Wageningen 6708 PB, The Netherlands.ORCID 0000-0003-3672-2921
Claudia Teixeira GuimarãesEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.ORCID 0000-0002-4406-4968
Maria Marta PastinaEmbrapa Milho e Sorgo, Rodovia MG424, km 65, Sete Lagoas, Minas Gerais 35702-098, Brazil.ORCID 0000-0002-9112-3457

Funding

CAPESConselho Nacional de Desenvolvimento Científico e TecnológicoEmbrapa and Generation Challenge ProgrammeFundação de Amparo à Pesquisa do Estado de Minas Gerais
6 · The paper itself

Abstract

Maize grain yield is frequently constrained by water scarcity, particularly in tropical regions characterized by irregular rainfall patterns. Dissecting the genetic basis of drought-related traits remains challenging because their expression is strongly influenced by environmental conditions. In this study, we applied a multienvironment multilocus genome-wide association study to identify genomic regions associated with drought-related traits in tropical maize. The association panel comprised 190 inbred lines from the Embrapa breeding program, which were genotyped-by-sequencing with 500,108 single nucleotide polymorphisms (SNPs) and crossed with 2 tester lines. Phenotypic data corresponded to the performance of the testcross hybrids, divided into Dent and Flint heterotic groups, evaluated across 2 yr at 2 locations in Brazil under well-watered and water-stressed conditions. Traits analyzed included grain yield, anthesis-silking interval, female and male flowering time, and plant and ear height. Drought stress reduced grain yield by approximately 50% and increased the anthesis-silking interval by about 2 d. A total of 179 significant SNP-trait associations were detected, of which 166 showed significant SNP-by-environment interaction effects, while 13 displayed stable effects across environments. Several associations were detected specifically under water-stressed conditions, highlighting genomic regions potentially involved in drought adaptation. Functional annotation revealed candidate genes previously implicated in abiotic stress responses, including ZmTIP1, which encodes an S-acyltransferase regulating root hair development and drought tolerance. Among the novel candidate genes, GRMZM2G159125, encoding a phospholipase D, emerged as a particularly promising candidate due to its strong association with grain yield and its role in membrane lipid signaling pathways related to stress responses. Although a few associations overlapped genomic regions previously reported for drought tolerance in maize, most loci represent potentially novel genetic factors that may contribute to improving drought resilience in tropical maize breeding programs.

Indexed as

Chromosome MappingDroughtsGene-Environment InteractionGenome, PlantQuantitative Trait, HeritableQuantitative Trait LociZea maysDrought ResistanceEnvironmentGenetic Association StudiesGenome-Wide Association StudyGenomicsGenotypePhenotypePolymorphism, Single NucleotideStress, PhysiologicalGWASmultienvironment trial analysiswater deficiencyZea mays

Identifiers

PMID42574601
PMCPMC13643811

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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.