marker-assisted selection in wheat - ictsd

144Marker-assisted selection – Current status and future perspectives in crops, livestock, forestry and fishin the international public sector (Knight,2003), and as a result investments havefavoured research at the expense ofpractical applications (Naylor et al., 2004).Whether current funding mechanismsbased on short-term (two to five years)grants are adequate to allow maize or anyother breeding programmes in developingcountries to benefit from the much neededadvantages of MAS is questionable.ReferencesBasten, C.J., Weir, B.S. & Zeng, Z-B. 1994. Zmap--a QTL cartographer. In C. Smith, J.S. Gavora, B.Benkel, J. Chesnais, W. Fairfull, J.P. Gibson, B.W. Kennedy & E.B. Burnside, eds. Proc. 5th Wrld.Congr. Genet. Appl. Livest. Prodn., Vol. 22, pp. 65–66. Guelph, Ontario, Canada, University ofGuelph.Beavis, W.D. 1994. The power and deceit of QTL experiments: lessons from comparative QTLstudies. Proc. 49 th Ann. Corn and Sorghum Ind. Res. Conf., pp. 250–266. Washington, DC, USA,American Seed Trade Association.Beavis, W.D. 1998. QTL analyses: power, precision and accuracy. In H. Paterson, ed. Molecular dissectionof complex traits, pp. 143–162. Boca Raton, FL, USA, CRC Press.Beavis, W.D. 1999. Integrating the central dogma with plant breeding. Abstr. Plant & Anim. Genome7: 28.Bernacchi, D., Beck-Bunn, T., Emmatty, D., Eshed, Y., Inai, S., Lopez, J., Petiard, V., Sayama,H., Uhlig, J., Zamir, D. & Tanksley, S. 1998a. Advanced backcross QTL analysis of tomato. II.Evaluation of near-isogenic lines carrying single-donor introgressions for desirable wild QTL allelesderived from Lycopersicon hirsutum and L. pimpinellifolium. Theor. Appl. Genet. 97: 170–180.Bernacchi, D., Beck-Bunn, T., Eshed, Y., Lopez, J., Petiard, V., Uhlig, J., Zamir, D. & Tanksley, S.1998b. Advanced backcross QTL analysis in tomato. I. Identification of QTLs for traits of agronomicimportance from Lycopersicon hirsutum. Theor. Appl. Genet. 97: 381–397.Bernardo, R. 1994. Prediction of maize single-cross performance using RFLPs and information fromrelated hybrids. Crop Sci. 34: 20–25.Bernardo, R. 2001. What if we knew all the genes for a quantitative trait in hybrid crops ? Crop Sci.41: 1–4.Bernardo, R. 2002. Breeding for quantitative traits in plants. Woodbury, MN, USA, Stemma Press.Botstein, D., White, R.L., Skolnick, M. & Davis, R.W. 1980. Construction of genetic linkage map inhuman using restriction fragment length polymorphisms. Am. J. Human Genet. 32: 314–331.Bouchez, A., Hospital, F., Causse, M., Gallais, A. & Charcosset, A. 2002. Marker-assisted introgressionof favorable alleles at quantitative trait loci between maize elite lines. Genetics 162: 1945–1959.Burr, B., Burr, F.A., Thompson, K.H., Albertsen, M.C. & Stuber, C.W. 1988. Gene mapping withrecombinant inbreds in maize. Genetics 118: 519–526.Castiglioni, P., Ajmone-Marsan, P., van Wijk, R. & Motto, M. 1999. AFLP markers in a molecular linkagemap of maize: codominant scoring and linkage group distribution. Theor. Appl. Genet. 99: 425–431.Charmet, G., Robert, N., Perretant, M.R., Gay, G., Sourdille, P., Groos, C., Bernard, S. & Bernard,M. 1999. Marker-assisted recurrent selection for cumulating additive and interactive QTL’s inrecombinant inbred lines. Theor. Appl. Genet. 99: 1143–1148.Ching, A., Caldwell, K.S., Jung, M., Dolan, M., Smith, O.S., Tingey, S., Morgante, M. & Rafalski,A. 2002. SNP frequency, haplotype structure and linkage disequilibrium in elite maize inbred lines.BMC Genetics 3: 19.