Mapping quantitative trait loci in plant breeding populations
By R. Jansen, Jean-Luc Jannink, W. Beavis. 2003
83 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/835c930ef3a5b3d1cb957454629afe1d2aeb46c2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Edward S. Buckler
- Jianming Yu
- Jim Holland
- Stephen Kresovich
- S. Mitchell
- Sherry Flint-Garcia
- Dean W. Podlich
- Mark Cooper
In Plant Science
- Edward S. Buckler
- Jianming Yu
- Dean W. Podlich
- Jim Holland
- Stephen Kresovich
- Mark Cooper
- S. Mitchell
- Sherry Flint-Garcia
Citations in the corpus
- Implementation of molecular markers for quantitative traits in breeding programs - challenges and opportunities (2004, background): “Jansen et al. (2003) developed theory to combine QTL information across plant mapping populations based on haplotype sharing of their parent lines.”
- Population structure and long-range linkage disequilibrium in a durum wheat elite collection (2005, unknown): “Germplasm collections and breeders’ materials are valuable sources for mapping genes/QTLs (Quantitative Trait Loci) through linkage analysis and/or association mapping (Jannink et al. 2001; Buckler and Thornsberry 2002; Flint-Garcia et al. 2003; Jansen et al. 2003; Rafalski and Morgante 2004).”
- Maize association population: a high-resolution platform for quantitative trait locus dissection. (2005, methodology): “An ideal analysis combines linkage and association analysis, where the strengths of each method are used to conduct high-power, high-resolution tests (Jansen et al., 2003).”
- Mapping As You Go (2004, methodology): “Thus, withof germplasm (e.g., interval mapping, composite interval mapping, or haploMQM; Jansen et al., 2003).”