Abstract
A program was initiated in 1994 to compare the efficiency of marker-assisted selection (MAS) and conventional phenotypic selection. A population of 300 F3:4 families was generated from the cross between two maize inbred lines F2 and F252 and selected on an index combining grain yield and grain moisture at harvest. This population was characterised for 93 RFLP markers and evaluated as testcrosses in a large range of environments. Three methods of selection were applied (i) two cycles of conventional phenotypic selection; (ii) two cycles of MAS based on an index combining phenotypic values and QTL genetic values and (iii) one cycle of combined MAS followed by two cycles of selection based only on the QTL effects estimated in the first generation. The different populations were characterised for RFLP markers. The evolution of allele frequencies showed that selection on only-markers was very efficient for fixing QTL alleles found favourable in the initial population. This evolution was quite different from that observed for phenotypic selection or combined MAS. Genetic gain was evaluated and found significant for each method of selection. Nevertheless, the difference between phenotypic selection and combined MAS was not significant. The two additional cycles of MAS on only-markers did not improve significantly the genetic value of the population. Moreover, the genetic variance of this population remained high, despite most of the QTL initially detected were almost fixed. The results suggest that the QTL effects estimated in the initial population were not stable due to epistasis and/or QTL by environment interactions.
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References
Bouchez, A., F. Hospital, M. Causse, A. Gallais & A. Charcosset, 2002. Marker-assisted introgression of favorable alleles at quantitative trait loci between maize elite lines. Genetics 162: 1945–1959.
Charmet, G., N. Robert, M. R. Perretant, G. Gay, P. Sourdille, et al., 1999. Marker-assisted recurrent selection for cumulating additive and interactive QTLs in recombinant inbred lines. Theor Appl Genet 99: 1143–1148.
Concibido, V.C., R.L. Denny, D.A. Lange, J.H. Orf & N.D. Young, 1996. RFLP mapping and marker-assisted selection of soybean cyst nematode resistance in PI 209332. Crop Sci 36: 1643–1650.
Eathington, S.R., J.W. Dudley & G.K. Rufener, 1997. Usefulness of marker-QTL associations in early generation selection. Crop Sci 37: 1686–1693.
Gimelfarb, A. & R. Lande, 1994. Simulation of marker assisted selection for nonadditive traits. Genet Res 64: 127–136.
Hospital, F., I. Goldringer & S. Openshaw, 2000. Efficient marker-based recurrent selection for multiple quantitative trait loci. Genet Res 75: 357–368.
Hospital, F., L. Moreau, F. Lacoudre, A. Charcosset & A. Gallais, 1997. More on the efficiency of marker-assisted selection. Theor Appl Genet 95: 1181–1189.
Igartua, E., M. Edney, B.G. Rossnagel, D. Spaner, W.G. Legge, et al., 2000. Marker-based selection of QTL affecting grain and malt quality in two-row barley. Crop Sci 40: 1426–1433.
Kandemir, N., B.L. Jones, D.M. Wesenberg, S.E. Ullrich & A. Kleinhofs, 2000. Marker-assisted analysis of three grain yield QTL in barley (Hordeum vulgare L.) using near isogenic lines. Mol Breeding 6: 157–167.
Lande, R. & R. Thompson, 1990. Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics 142: 743–756.
Lander, E., P. Green, J. Abrahamson, A. Barlow, M.J. Daly, et al., 1987. MAPMAKER: an interactive computer package for con-structing primary genetic linkage maps of experimental and nat-ural populations. Genomics 1: 174–181.
Lange, C. & J.C. Whittaker, 2001. On prediction of genetic values in marker-assisted selection. Genetics 159: 1375–1381.
Mather, K. & J.L. Jinks, 1982. Biometrical Genetics, Chapmann & Hall, New York
Moreau, L., A. Charcosset, F. Hospital & A. Gallais, 1998. Marker-assisted selection efficiency in populations of finite size. Genetics 148: 1353–1365.
Moreau, L., S. Lemarie, A. Charcosset & A. Gallais, 2000. Economic efficiency of one cycle of marker-assisted selection. Crop Science 40: 329–337.
Moreau, L., H. Monod, A. Charcosset & A. Gallais, 1999. Marker-assisted selection with spatial analysis of unreplicated field trials. Theor Appl Genet 98: 234–242.
Openshaw, S. & E. Frascaroli, 1997. QTL detection and marker-assisted selection for complex traits in maize. In: Proc. 52th An-nual Corn and Sorghum Research Conference, edited by ASTA, Washington DC.
Reyna, N. & C.H. Sneller, 2001. Evaluation of marker-assisted in-trogression of yield QTL alleles into adapted soybean. Crop Sci 41: 1317–1321.
Romagosa, I., F. Han, S.E. Ullrich, P.M. Hayes & D.M. Wesenberg, 1999. Verification of yield QTL through realized molecular marker-assisted selection responses in a barley cross. Mol Breeding 5: 143–152.
Schneider, K.A., M.E. Brothers & J.D. Kelly, 1997. Marker-assisted selection to improve drought resistance in common bean. Crop Sci 37: 51–60.
Stromberg, L.D., J.W. Dudley & G.K. Rufener, 1994. Comparing conventional early generation selection with molecular marker assisted selection in Maize. Crop Sci 34: 1221–1225.
Stuber, C.W., 1997. 25 years of searching and manipulating QTLs in maize., In: 27th conference on Genetics, Biotechnology and breeding of maize and sorghum, A.S. Tsaftaris (Ed.), Aristotelian University of Thessaloniki, Greece, pp. 43–51.
Tar'an, B., T.E. Michaels & K.P. Pauls, 2003. Marker-assisted selec-tion for complex trait in common bean (Phaseolus vulgaris L.) using QTL-based index. Euphytica 130: 423–432.
Van Berloo, R. & P. Stam, 1999. Comparison between marker-assisted selection and phenotypical selection in a set of Ara-bidopsis thaliana recombinant inbred lines. Theor Appl Genet 98: 113–118.
Whittaker, J.C., R.N. Curnow, C.S. Haley & R. Thompson, 1995. Using marker-maps in marker-assisted selection. Genet Res 66: 255–265.
Whittaker, J.C., C.S. Haley & R. Thompson, 1997. Optimal weigh-ing of information in marker-assisted selection. Genet Res 69: 137–144.
Yousef, G.G. & J.A. Juvik, 2001. Comparison of phenotypic and marker-assisted selection for quantitative traits in sweet corn. Crop Sci 41: 645–655.
Zhang, W. & C. Smith, 1992. Computer-simulation of marker-assisted selection utilizing linkage disequilibrium. Theor Appl Genet 83: 813–820.
Zhang, W. & C. Smith, 1993. Simulation of marker-assisted selection utilizing linkage disequilibrium—the effects of several additional factors. Theor Appl Genet 86: 492–496.
Zhu, H., G. Briceno, R. Dovel, P.M. Hayes, B.H. Liu, et al., 1999. Molecular breeding for grain yield in barley: An evaluation of QTL effects in a spring barley cross. Theor Appl Genet 98: 772–779.
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Moreau, L., Charcosset, A. & Gallais, A. Experimental evaluation of several cycles of marker-assisted selection in maize. Euphytica 137, 111–118 (2004). https://doi.org/10.1023/B:EUPH.0000040508.01402.21
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DOI: https://doi.org/10.1023/B:EUPH.0000040508.01402.21