ArticleJournal of experimental botany2022
Combining datasets for maize root seedling traits increases the power of GWAS and genomic prediction accuracies.
Article in Journal of experimental botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 11 citations in OpenAlex.
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Discovering common and population-specific QTLs for leaf rust resistance in different Barley populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic architecture and functional consequences of lateral root length in maize.Journal of experimental botany · 2026Article
- Genome-wide association study identifies genetic loci for soybean herbicide resistance in maize.BMC plant biology · 2026Article
- Inheritance of root morphology in tropical maize under contrasting nitrogen levels.Scientific reports · 2026Article
- Integrative cross-study analysis of maize microarray datasets identifies key abiotic stress-responsive genes, highlighting ZmOSM34 and ZmANAH.Scientific reports · 2026Article
- Molecular breeding approaches for the improvement of oil content and fatty acid composition in exotic-derived maize germplasm.The New phytologist · 2025Article
- Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program.Heredity · 2025Article
- The whole-genome dissection of root system architecture provides new insights for the genetic improvement of alfalfa (Horticulture research · 2025Article
- Genetic diversity, relationships among traits and selection of tropical maize inbred lines for low-P tolerance based on root and shoot traits at seedling stage.Frontiers in plant science · 2024Article
- Phenotypic and genome-wide association analyses for nitrogen use efficiency related traits in maize (Frontiers in plant science · 2023Article
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3 authors at 2 institutions in 2 countries.
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Abstract
The identification of genomic regions associated with root traits and the genomic prediction of untested genotypes can increase the rate of genetic gain in maize breeding programs targeting roots traits. Here, we combined two maize association panels with different genetic backgrounds to identify single nucleotide polymorphisms (SNPs) associated with root traits, and used a genome-wide association study (GWAS) and to assess the potential of genomic prediction for these traits in maize. For this, we evaluated 377 lines from the Ames panel and 302 from the Backcrossed Germplasm Enhancement of Maize (BGEM) panel in a combined panel of 679 lines. The lines were genotyped with 232 460 SNPs, and four root traits were collected from 14-day-old seedlings. We identified 30 SNPs significantly associated with root traits in the combined panel, whereas only two and six SNPs were detected in the Ames and BGEM panels, respectively. Those 38 SNPs were in linkage disequilibrium with 35 candidate genes. In addition, we found higher prediction accuracy in the combined panel than in the Ames or BGEM panel. We conclude that combining association panels appears to be a useful strategy to identify candidate genes associated with root traits in maize and improve the efficiency of genomic prediction.
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