ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2010
Mixed model approaches for the identification of QTLs within a maize hybrid breeding program.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize.Journal of experimental botany · 2023Review
- In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance toMolecular breeding : new strategies in plant improvement · 2021Article
- Dependence of the Heterosis Effect on Genetic Distance, Determined using Various Molecular Markers.Open life sciences · 2020Article
- Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models.The plant genome · 2019Article
- 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
- Article
- Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Article
- Maize ARGOS1 (ZAR1) transgenic alleles increase hybrid maize yield.Journal of experimental botany · 2014Article
- QTL for root angle and number in a population developed from bread wheats (Triticum aestivum) with contrasting adaptation to water-limited environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Genomewide predictions from maize single-cross data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Bayesian mapping of multiple traits in maize: the importance of pleiotropic effects in studying the inheritance of quantitative traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Mapping QTL for agronomic traits in breeding populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Review
- QTL linkage analysis of connected populations using ancestral marker and pedigree information.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
- Gene and QTL detection in a three-way barley cross under selection by a mixed model with kinship information using SNPs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Analysis of natural allelic variation in Arabidopsis using a multiparent recombinant inbred line population.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
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13 authors.
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Abstract
Two outlines for mixed model based approaches to quantitative trait locus (QTL) mapping in existing maize hybrid selection programs are presented: a restricted maximum likelihood (REML) and a Bayesian Markov Chain Monte Carlo (MCMC) approach. The methods use the in-silico-mapping procedure developed by Parisseaux and Bernardo (2004) as a starting point. The original single-point approach is extended to a multi-point approach that facilitates interval mapping procedures. For computational and conceptual reasons, we partition the full set of relationships from founders to parents of hybrids into two types of relations by defining so-called intermediate founders. QTL effects are defined in terms of those intermediate founders. Marker based identity by descent relationships between intermediate founders define structuring matrices for the QTL effects that change along the genome. The dimension of the vector of QTL effects is reduced by the fact that there are fewer intermediate founders than parents. Furthermore, additional reduction in the number of QTL effects follows from the identification of founder groups by various algorithms. As a result, we obtain a powerful mixed model based statistical framework to identify QTLs in genetic backgrounds relevant to the elite germplasm of a commercial breeding program. The identification of such QTLs will provide the foundation for effective marker assisted and genome wide selection strategies. Analyses of an example data set show that QTLs are primarily identified in different heterotic groups and point to complementation of additive QTL effects as an important factor in hybrid performance.
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