Breeding Strategies: Optimum Design of Marker-Assisted Backcross Programs

  • M. Frisch
Part of the Biotechnology in Agriculture and Forestry book series (AGRICULTURE, volume 55)


Flank Marker Backcross Generation Background Selection Recurrent Parent Genome Backcross Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Allard RW (1960) Principles of plant breeding. Wiley, New YorkGoogle Scholar
  2. Fehr WR (1987) Principles of cultivar development, vol 1. Theory and technique. Macmillan, New YorkGoogle Scholar
  3. Frisch M, Melchinger AE (2001a) Marker-assisted backcrossing for introgression of a recessive gene. Crop Sci 41:1485–1494Google Scholar
  4. Frisch M, Melchinger AE (2001b) Marker-assisted backcrossing for simultaneous introgression of two genes. Crop Sci 41:1716–1725Google Scholar
  5. Frisch M, Melchinger AE (2001c) The length of the intact chromosome segment around a target gene in marker-assisted backcrossing. Genetics 157:1343–1356PubMedGoogle Scholar
  6. Frisch M, Bohn M, Melchinger AE (1999a) Comparison of selection strategies for marker-assisted backcrossing of a gene. Crop Sci 39:1295–1301Google Scholar
  7. Frisch M, Bohn M, Melchinger AE (1999b) Minimum sample size and optimal positioning of flanking markers in marker-assisted backcrossing for transfer of a target gene. Crop Sci 39:967–975, Erratum: Crop Sci 39:1903Google Scholar
  8. Frisch M, Bohn M, Melchinger AE (2000) Plabsim: software for simulation of marker-assisted backcrossing. J Hered 91:86–87CrossRefPubMedGoogle Scholar
  9. Hanson WD (1959) Early generation analysis of lengths of heterozygous chromosome segments around a locus held heterozygous with backcrossing or selfing. Genetics 44:833–837Google Scholar
  10. Hospital F (2001) Size of donor chromosome segments around introgressed loci and reduction of linkage drag in marker-assisted backcross programs. Genetics 158:1363–1379PubMedGoogle Scholar
  11. Hospital F, Charcosset A (1997) Marker-assisted introgression of quantitative trait loci. Genetics 147:1469–1485PubMedGoogle Scholar
  12. Hospital F, Chevalet C, Mulsant P (1992) Using markers in gene introgression breeding programs. Genetics 132:1199–1210PubMedGoogle Scholar
  13. Ragot M, Biasiolli M, Delbut MF, Dell'Orco A, Malgarini L, Thevenin P, Vernoy J, Vivant J, Zimmermann R, Gay G (1995) Marker-assisted backcrossing: a practical example. In: INRA (ed) Techniques et utilisations des marqueurs moléculaires. Montepellier, France, 29–31 March 1994Google Scholar
  14. Servin B, Hospital F (2002) Optimal positioning of markers to control genetic background in marker-assisted backcrossing. J Hered 93:214–217Google Scholar
  15. Stam P, Zeven AC (1981) The theoretical proportion of the donor genome in near-isogenic lines of self-fertilizers bred by backcrossing. Euphytica 30:227–238CrossRefGoogle Scholar
  16. Tanksley SD (1983) Molecular markers in plant breeding. Plant Mol Biol Rep 1:1–3Google Scholar
  17. Tanksley SD, Young ND, Patterson AH, Bonierbale MW (1989) RFLP mapping in plant breeding: New tools for an old science. Bio/Technology 7:257–263CrossRefGoogle Scholar
  18. Visscher PM (1996) Proportion of the variation in genomic composition in backcrossing programs explained by molecular markers. J Hered 87:136–138Google Scholar
  19. Young ND, Tanksley SD (1989) RFLP analysis of the size of chromosomal segments retained around the tm-2 locus of tomato during backcross breeding. Theor Appl Genet 77:353–359Google Scholar
  20. Zeven AC, Knott DR, Johnson R (1983) Investigation of linkage drag in near isogenic lines of wheat by testing for seedling reaction to races of stem rust, leaf rust and yellow rust. Euphytica 32:319–327CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • M. Frisch
    • 1
  1. 1.Institute of Plant Breeding, Seed Science, and Population GeneticsUniversity of HohenheimStuttgartGermany

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