Genetic mapping of quantitative trait loci in plants : a novel statistical approach
Quantitative variation is a feature of many important traits such as yield, quality and disease resistance in crop plants and farm animals, and diseases in humans. The genetic mapping, understanding and manipulation of quantitative trait loci (QTLs) are therefore of prime importance. Only by using genetically marked chromosomes is it possible to detect and map these QTLs. The recent advent of complete genetic maps of molecular markers for many plant and animal species therefore heralds a new era for quantitative genetics. The "Interval mapping" approach to QTL mapping is now widely used, though true resolution of quantitative variation into QTLs. is hampered because only single-QTL models are used. Here we develop a novel analytical approach, "MQM mapping", where MQM is an acronym for multiple-QTL models as well as for marker-QTL-marker. Computer simulation work and practical experiments in tomato and in the model organism Arabidopsisthaliana demonstrate the superiority of the new approach over the conventional one in genetic mapping of multiple genes underlying quantitative variation.
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| Format: | Doctoral thesis biblioteca |
| Language: | English |
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Landbouwuniversiteit Wageningen
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| Subjects: | chromosome maps, cum laude, gene mapping, genes, molecular genetics, chromosoomkaarten, genen, genkartering, moleculaire genetica, |
| Online Access: | https://research.wur.nl/en/publications/genetic-mapping-of-quantitative-trait-loci-in-plants-a-novel-stat |
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