ArticleGenome biology2015
Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 2 of them syntheses that pooled it.
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149 citing papers in PubMed, 2 syntheses or guidelines pooled it, 274 citations in OpenAlex.
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Exploring Chickpea Germplasm Diversity for Broadening the Genetic Base Utilizing Genomic Resourses.Frontiers in genetics · 2022Pooled it
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- Genetic dissection of grain yield and correlated proxy traits under suboptimal conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Hybrid origin and phenotype evolution of the modern maize.Journal of integrative plant biology · 2026Review
- Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice.Plant molecular biology · 2026Article
- Application of NGS Technology, Association Mapping, and Physical Mapping Technologies to Identify Candidate Genes Associated with Maize (International journal of molecular sciences · 2026Article
- GWAS and Candidate Gene Prediction of Elemental Accumulation Traits in Rice Using a Multiparental Population.Rice (New York, N.Y.) · 2026Article
- KineticGP: A computational framework for genomic prediction of leaf photosynthetic traits.Plant communications · 2026Article
- QTLNetwork-MP: integrative mapping of additive, epistatic, and G × E effects for complex traits in multiparent advanced generation intercross populations.Briefings in bioinformatics · 2026Article
- Understanding the genetics of quality traits in groundnut: GWAS highlights drought-responsive markers and candidate genes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
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- Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.Molecular biology and evolution · 2026Article
- Genetic dynamics drive maize growth and breeding.Genome biology · 2026Article
- Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits.Scientific reports · 2026Article
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Novel perpetual genetic population development and genome assembly of superior maize inbred lines provide insights into genetic improvement.BMC biology · 2025Article
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- Rainfall patterns during barley seed development underlie genomic variation for germination after flooding.Plant physiology · 2025Article
- First interspecific multi-parent advanced generation inter-cross (MAGIC) population inHorticulture research · 2025Article
89 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
Abstract
backgroundMaize (Zea mays) is a globally produced crop with broad genetic and phenotypic variation. New tools that improve our understanding of the genetic basis of quantitative traits are needed to guide predictive crop breeding. We have produced the first balanced multi-parental population in maize, a tool that provides high diversity and dense recombination events to allow routine quantitative trait loci (QTL) mapping in maize.
resultsWe produced 1,636 MAGIC maize recombinant inbred lines derived from eight genetically diverse founder lines. The characterization of 529 MAGIC maize lines shows that the population is a balanced, evenly differentiated mosaic of the eight founders, with mapping power and resolution strengthened by high minor allele frequencies and a fast decay of linkage disequilibrium. We show how MAGIC maize may find strong candidate genes by incorporating genome sequencing and transcriptomics data. We discuss three QTL for grain yield and three for flowering time, reporting candidate genes. Power simulations show that subsets of MAGIC maize might achieve high-power and high-definition QTL mapping.
conclusionsWe demonstrate MAGIC maize's value in identifying the genetic bases of complex traits of agronomic relevance. The design of MAGIC maize allows the accumulation of sequencing and transcriptomics layers to guide the identification of candidate genes for a number of maize traits at different developmental stages. The characterization of the full MAGIC maize population will lead to higher power and definition in QTL mapping, and lay the basis for improved understanding of maize phenotypes, heterosis included. MAGIC maize is available to researchers.
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