Genome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations

Maize stalk rot reduces grain yield and quality. Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait. Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selectio...

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Detalhes bibliográficos
Autores: Junqiao Song, Pacheco Gil, Rosa Angela, Alakonya, A., Cruz-Morales, A.S., Muñoz-Zavala, C., Jingtao Qu, Chunping Wang, Xuecai Zhang, San Vicente Garcia, F.M., Dhliwayo, T.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:México
Recursos:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/23117
Acesso em linha:https://hdl.handle.net/10883/23117
Access Level:acceso abierto
Palavra-chave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Genome-Wide Association Mapping
Genomic Prediction
GENOTYPE ENVIRONMENT INTERACTION
GENOME-WIDE ASSOCIATION STUDIES
FORECASTING
HAPLOTYPE ANALYSIS
MAIZE STALK ROT
Genetic Resources
Descrição
Resumo:Maize stalk rot reduces grain yield and quality. Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait. Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selection. We performed a genome-wide association study (GWAS) and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpeño and non-Tuxpeño heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms (SNPs). Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic responses. More favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred lines. Incorporating genotype-by-environment (G × E) interaction increased genomic prediction accuracy.

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