ArticleG3 (Bethesda, Md.)2022
Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci.
Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 11 citations in OpenAlex.
- Genetic dissection of grain yield and correlated proxy traits under suboptimal conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Advancing anthracnose resistance in dry beans through the transition from traditional to computational breeding efforts.Frontiers in plant science · 2026Review
- Genome-wide detection of superior haplotypes for seed oil and protein content in Northeast China soybean (Frontiers in plant science · 2026Article
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Development of high yielding and stress resilient post-rainy season sorghum cultivars using a multi-parent crossing approach.Scientific reports · 2025Article
- QTL-based dissection of three key quality attributes in maize using double haploid populations.Frontiers in plant science · 2025Article
- Genetic analysis of QTLs for lysine content in four maize DH populations.BMC genomics · 2024Article
- Odyssey of environmental and microbial interventions in maize crop improvement.Frontiers in plant science · 2024Review
- Genetic dissection of QTLs for oil content in four maize DH populations.Frontiers in plant science · 2023Article
- Linkage Mapping Reveals QTL for Flowering Time-Related Traits under Multiple Abiotic Stress Conditions in Maize.International journal of molecular sciences · 2022Article
- Analysis of genotype-by-environment interactions in a maize mapping population.G3 (Bethesda, Md.) · 2022Article
- Genetic dissection of QTLs for starch content in four maize DH populations.Frontiers in plant science · 2022Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
The search for quantitative trait loci that explain complex traits such as yield and drought tolerance has been ongoing in all crops. Methods such as biparental quantitative trait loci mapping and genome-wide association studies each have their own advantages and limitations. Multiparent advanced generation intercross populations contain more recombination events and genetic diversity than biparental mapping populations and are better able to estimate effect sizes of rare alleles than association mapping populations. Here, we discuss the results of using a multiparent advanced generation intercross population of doubled haploid maize lines created from 16 diverse founders to perform quantitative trait loci mapping. We compare 3 models that assume bi-allelic, founder, and ancestral haplotype allelic states for quantitative trait loci. The 3 methods have differing power to detect quantitative trait loci for a variety of agronomic traits. Although the founder approach finds the most quantitative trait loci, all methods are able to find unique quantitative trait loci, suggesting that each model has advantages for traits with different genetic architectures. A closer look at a well-characterized flowering time quantitative trait loci, qDTA8, which contains vgt1, highlights the strengths and weaknesses of each method and suggests a potential epistatic interaction. Overall, our results reinforce the importance of considering different approaches to analyzing genotypic datasets, and shows the limitations of binary SNP data for identifying multiallelic quantitative trait loci.
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