ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2013
Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementarities between models based on parental haplotype and single locus polymorphism.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 45 citations in OpenAlex.
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- Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci.G3 (Bethesda, Md.) · 2022Article
- Multiallelic models for QTL mapping in diverse polyploid populations.BMC bioinformatics · 2022Article
- Identifying quantitative trait loci for the general combining ability of yield-relevant traits in maize.Breeding science · 2021Article
- Genomics-Assisted Breeding for Quantitative Disease Resistances in Small-Grain Cereals and Maize.International journal of molecular sciences · 2020Review
- Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- QTL mapping and genome-wide prediction of heat tolerance in multiple connected populations of temperate maize.Scientific reports · 2019Article
- Metabolome Analysis of Multi-Connected Biparental Chromosome Segment Substitution Line Populations.Plant physiology · 2018Article
- Linkage Analysis and Association Mapping QTL Detection Models for Hybrids Between Multiparental Populations from Two Heterotic Groups: Application to Biomass Production in Maize (G3 (Bethesda, Md.) · 2017Article
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- How do the type of QTL effect and the form of the residual term influence QTL detection in multi-parent populations? A case study in the maize EU-NAM population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Estimating parent-specific QTL effects through cumulating linked identity-by-state SNP effects in multiparental populations.Heredity · 2017Article
- First steps to understand heat tolerance of temperate maize at adult stage: identification of QTL across multiple environments with connected segregating populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
- Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
- MAGIC populations in crops: current status and future prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Review
- Linkage mapping of Barley yellow dwarf virus resistance in connected populations of maize.BMC plant biology · 2015Article
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- Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.Genetics · 2014Article
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10 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Advancements in genotyping are rapidly decreasing marker costs and increasing marker density. This opens new possibilities for mapping quantitative trait loci (QTL), in particular by combining linkage disequilibrium information and linkage analysis (LDLA). In this study, we compared different approaches to detect QTL for four traits of agronomical importance in two large multi-parental datasets of maize (Zea mays L.) of 895 and 928 testcross progenies composed of 7 and 21 biparental families, respectively, and genotyped with 491 markers. We compared to traditional linkage-based methods two LDLA models relying on the dense genotyping of parental lines with 17,728 SNP: one based on a clustering approach of parental line segments into ancestral alleles and one based on single marker information. The two LDLA models generally identified more QTL (60 and 52 QTL in total) than classical linkage models (49 and 44 QTL in total). However, they performed inconsistently over datasets and traits suggesting that a compromise must be found between the reduction of allele number for increasing statistical power and the adequacy of the model to potentially complex allelic variation. For some QTL, the model exclusively based on linkage analysis, which assumed that each parental line carried a different QTL allele, was able to capture remaining variation not explained by LDLA models. These complementarities between models clearly suggest that the different QTL mapping approaches must be considered to capture the different levels of allelic variation at QTL involved in complex traits.
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