ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018
Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. 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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Who cites it
22 citing papers in PubMed.
- Genome-wide association study reveals genomic regions associated withFrontiers in plant science · 2026Article
- GWAS-based population genetic analysis identifies bZIP29 as a heterotic gene in maize.Plant communications · 2025Article
- Identification by GWAS of marker haplotypes relevant to breed potato for Globodera pallida resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies.BioData mining · 2024Article
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- Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing.Genome biology · 2023Article
- Fire frequency, as well as stress response and developmental gene control serotiny level variation in a widespread pioneer Mediterranean conifer,Ecology and evolution · 2023Article
- A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs.G3 (Bethesda, Md.) · 2022Article
- Association mapping for broomrape resistance in sunflower.Frontiers in plant science · 2022Article
- Review
- Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content.BMC genomics · 2021Article
- Genetic dissection of flowering time in flax (Linum usitatissimum L.) through single- and multi-locus genome-wide association studies.Molecular genetics and genomics : MGG · 2021Article
- Conservation tillage improves productivity of sunflower (Helianthus annuus L.) under reduced irrigation on sandy loam soil.PloS one · 2021Article
- Comparison of Single-Trait and Multi-Trait Genome-Wide Association Models and Inclusion of Correlated Traits in the Dissection of the Genetic Architecture of a Complex Trait in a Breeding Program.Frontiers in plant science · 2021Article
- Insights Into the Molecular Mechanisms of Late Flowering inFrontiers in plant science · 2021Article
- Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.Frontiers in plant science · 2020Review
- On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids.PloS one · 2020Article
- Discovery of interesting new polymorphisms in a sugar beet (eliteTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Genome-wide association multi-locus and multi-variate linear mixed models reveal two linked loci with major effects on partial resistance of apricot to bacterial canker.BMC plant biology · 2019Article
- Article
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14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageThis study compares five models of GWAS, to show the added value of non-additive modeling of allelic effects to identify genomic regions controlling flowering time of sunflower hybrids. Genome-wide association studies are a powerful and widely used tool to decipher the genetic control of complex traits. One of the main challenges for hybrid crops, such as maize or sunflower, is to model the hybrid vigor in the linear mixed models, considering the relatedness between individuals. Here, we compared two additive and three non-additive association models for their ability to identify genomic regions associated with flowering time in sunflower hybrids. A panel of 452 sunflower hybrids, corresponding to incomplete crossing between 36 male lines and 36 female lines, was phenotyped in five environments and genotyped for 2,204,423 SNPs. Intra-locus effects were estimated in multi-locus models to detect genomic regions associated with flowering time using the different models. Thirteen quantitative trait loci were identified in total, two with both model categories and one with only non-additive models. A quantitative trait loci on LG09, detected by both the additive and non-additive models, is located near a GAI homolog and is presented in detail. Overall, this study shows the added value of non-additive modeling of allelic effects for identifying genomic regions that control traits of interest and that could participate in the heterosis observed in hybrids.
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