Novel genetic mapping tools in plants: SNPs and LD-based approaches
By J. Rafalski. 2002
264 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/162835e0faaf8ff71d7ef9912010f1033f75af92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
In Molecular Biology
- Å. Bjornstad
- M. Blair
- Jean-Luc Jannink
- D. Edwards
- Jacqueline Batley
- Hiroyoshi Iwata
- M. Ndjiondjop
- K. Semagn
Citations in the corpus
- A review of breeding objectives, genomic resources, and marker-assisted methods in common bean (Phaseolus vulgaris L.) (2019, background): “SNP discovery in maize and soybean is illustrative for many other crop species (Rafalski 2002, 2010; Hyten et al. 2010), though there are species-specific differences—for example, with the SNP frequency being roughly an order of magnitude higher in maize than soybean.”
- An overview of molecular marker methods for plants (2006, methodology): “Over the past years, a large number of different SNP genotyping methods and chemistries have been developed based on various methods of allelic discrimination and detection platforms (see Rafalski, 2002b; Vignal et al., 2002; Sobrino et al., 2005; Tost and Gut, 2005 for detailed review).”
- Genomic selection in plant breeding: from theory to practice. (2010, background): “in QTL identification [13] and QTL have been mapped in this way [14, 15].”
- Resistance to rice sheath blight (Rhizoctonia solani Kühn) [(teleomorph: Thanatephorus cucumeris (A.B. Frank) Donk.] disease: current status and perspectives (2011, unknown): “Similarly, novel mapping approaches, such as association mapping using natural populations, may be used (Rafalski 2002; Gupta et al. 2005).”
- SNP Applications in Plants (2007, methodology): “SNPs can be used to develop haplotyping systems for genes or regions of interest ( Rafalski 2002a ).”
- The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. (2007, background): “Another solution would be to use whole-genome scan association mapping based on linkage disequilibrium (Rafalski, 2002), using a large collection of adapted and nonadapted material with a sufficient agricultural meaning to permit a field evaluation.”