(Note: not all of these references are cited in the lesson)
Beavis, W.D. 1998. QTL analysis: Power, precision, and accuracy. pp. 145-161. In A.H. Paterson (ed.) Molecular dissection of complex traits. CRC Press, Boca Raton, FL.
Bonnett, D.G., G.J. Rebetzke, and W. Spielmeyer. 2005. Strategies for efficient implementation of molecular markers in wheat breeding. Mol. Breeding 15:75-85.
Castro, A.J., F. Capettini, A.E. Corey, T. Filichkina, P.M. Hayes, A. Kleinhofs, D. Kudrna, K. Richardson, S. Sandoval-Islas, C. Rossi, and H. Vivar. 2003. Mapping and pyramiding of qualitative and quantitative resistance to stripe rust in barley. Theor. Appl. Genet. 107:922-930.
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Concibido, V.C., R.L. Denny, D.A. Lange, J.H. Orf, and N.D. Young. 1996. RFLP mapping and marker-assisted selection of soybean cyst nematode resistance in PI 209332. Crop Sci. 36:1643-1650.
Dreher, K., M. Khairallah, J.M. Ribaut, and M. Morris. 2003. Money matters (I): Costs of field and laboratory procedures associated with conventional and marker-assisted maize breeding at CIMMYT. Molecular Breeding 11:221-234.
Ellis, M.H., W. Spielmeyer, K.R. Gale, G.J. Rebetzke, and R.A. Richards. 2002. 'Perfect' markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat. Theor. Appl. Genet. 105:1038-1042.
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Hernandez, P., A. Martin, and G. Dorado. 1999. Development of SCARs by direct sequencing of RAPD products: a practical tool for the introgression and marker-assisted selection of wheat. Molecular Breeding 5:245-253.
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Robert, V.J.M., M.A.L. West, S. Inai, A. Caines, L. Arntzen, J.K. Smith, and D.A. St Clair. 2001. Marker-assisted introgression of blackmold resistance QTL alleles from wild Lycopersicon cheesmanii to cultivated tomato (L. esculentum) and evaluation of QTL phenotypic effects. Molecular Breeding 8:217-233.
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Marker-assisted selection resources on the Web
Grafgen: Design of Precision Graphical Genotypes (http://moulon.inra.fr/~fred/programs/programs.html), a computer program developed by Frederic Hospital’s group at INRA, France. Using marker data for a population, the program displays each individual’s allelic composition in a graphical format as an aid to selecting desirable genotypes.
MAS Wheat: Bringing Genomics to the Wheat Fields (http://maswheat.ucdavis.edu/). This is the web site for a USDA-funded project that seeks to translate genomic discoveries into practical protocols for MAS in wheat. Contains protocols for over 20 genes or markers associated with disease resistance, insect resistance, and grain quality.
Molecular Plant Breeding (http://www.molecularplantbreeding.com/), an Australian-based initiative to incorporate marker-assisted strategies into plant breeding programs.
PLABSIM, MAS simulation software available from Matthias Frisch’s web site at the University of Hohenheim, Germany--Link updated 10-25-2013. (https://www.uni-hohenheim.de/1597.html?typo3state=publications&lsfid=7587). The program is described in Frisch et al. 2000. PLABSIM: Software for simulation of marker-assisted backcrossing. Journal of Heredity 91:86-87.
Popmin (http://moulon.inra.fr/~fred/programs/programs.html), another computer program from Frederic Hospital’s group at INRA, France. This program calculates optimum population sizes for marker-assisted backcrossing programs.
Molecular marker assisted selection as a potential tool for genetic improvement of crops, forest trees, livestock and fish in developing countries (http://www.fao.org/biotech/Conf10.htm). This site reports results of a conference sponsored by FAO’s Electronic Forum on Biotechnology in Food and Agriculture.