Abstract
Computer simulation was used to evaluate responses to marker-assisted selection (MAS) and to compare MAS responses with those typical of phenotypic recurrent selection (PRS) in an allogamous annual crop species such as maize (Zea mays L.). Relative to PRS, MAS produced rapid responses early in the selection process; however, the rate of these responses diminished greatly within three to five cycles. The gains from MAS ranged from 44.7 to 99.5% of the maximum potential, depending on the genetic model considered. Linkage distance between markers and quantitative trait loci (QTLs) was the factor which most limited the responses from MAS. When averaged across all models considered, flanking QTLs within two marker loci produced 38% more gain than did selection based on single markers if markers were loosely-linked to a QTL (20% recombination). Flanking markers were much less advantageous when markers were closely-linked to a QTL (5% recombination), producing an advantage over single markers of only 11%. Markers were most effective in fully exploiting the genetic potential when fewer QTLs controlled the trait. Large QTL numbers exacerbated the problem of marker-QTL recombination by requiring more generations for fixation. In annual crop species, MAS may offer a primary advantage of enabling two selection cycles per year versus the 2 years per cycle required by most PRS schemes for the evaluation of testcross progeny. MAS thus appears to allow very rapid gains for the first 2–3 years of recurrent selection, after which time conventional methods might replace MAS to achieve further responses.
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References
Abler BSB, Edwards MD, Stuber CW (1991) Isoenzymatic identification of quantitative trait loci in crosses of elite maize inbreds. Crop Sci 31:267–274
Beckmann JS, Soller M (1983) Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs. Theor Appl Genet 67:35–43
Burr B, Burr FA, Thompson KH, Albertson MC, Stuber CW (1988) Gene mapping with recombinant inbreds in maize. Genetics 118:519–526
Choo TM, Kannenberg LW (1988) Selection response and efficiency of doubled-haploid recurrent selection in a cross-fertilized species. Theor Appl Genet 75:410–414
Cowen NM (1988) The use of replicated progenies in marker-based mapping of QTLs. Theor Appl Genet 75:857–862
Edwards MD, Stuber CW, Wendel JF (1987) Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Number, genomic distribution and type of gene action. Genetics 116:113–125
Edwards MD, Helentjaris T, Wright S, Stuber CW (1992) Molecular-marker-facilitated investigations of quantitative trait loci in maize. 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers. Theor Appl Genet 83:765–774
Ellis THN (1986) Restriction fragment length polymorphism markers in relation to quantitative characters. Theor Appl Genet 72:1–2
Helentjaris T, Slocum M, Wright S, Schaefer A, Nienhuis J (1986) Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms. Theor Appl Genet 72:761–769
Keim P, Diers BW, Olson TC, Shoemaker RC (1990) RFLP Mapping in soybean: association between marker loci and variation in quantitative traits. Genetics 126:735–742
Knapp SJ, Bridges WC (1990) Using molecular markers to estimate quantitative trait locus parameters: power and genetic variances for unreplicated and replicated progeny. Genetics 126:769–777
Lande R, Thompson R (1990) Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics 124:743–756
Landry BS, Kesseli RV, Fararra B, Michelmore RW (1987) A genetic map of lettuce Lactuca sativa L. with restriction fragment length polymorphisms, isozymes, disease resistance and morphological markers. Genetics 116:331–337
Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 118:185–198
Nienhuis J, Helentjaris T, Slocum M, Ruggero B, Schaefer A (1987) Restriction fragment length polymorphism analysis of loci associated with insect resistance in tomato. Crop Sci 27:797–803
Paterson AH, Lander ES, Hewitt JD, Peterson S, Lincoln SE, Tanksley SD (1988) Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335:721–726
Scheinberg E (1968) Methodology of computer genetics research. Can J Genet Cytol 10:754–761
Simpson SP (1989) Detection of linkage between quantitative trait loci and restriction fragment length polymorphisms using inbred lines. Theor Appl Genet 77:815–819
Stuber CW, Edwards MD (1986) Genotypic selection for improvement of quantitative traits in corn using molecular marker loci. Proc Annu Corn Sorghum Res Conf 41:70–83
Stuber CW, Edwards MD, Wendel JF (1987) Molecular-marker-facilitated investigations of quantitative-trait loci in maize II. Factors influencing yield and its component traits. Crop Sci 27:639–648
Walton M, Helentjaris T (1987) Application of restriction fragment length polymorphism (RFLP) technology to maize breeding. Proc Annu Corn Sorghum Res Conf 42:49–75
Wells WC, Roose ML, Guzy MR (1987) Effects of selection parameters on effective population sizes for mass selection. Crop Sci 27:1146–1149
Zhang W, Smith C (1992) Computer simulation of marker-assisted selection utilizing linkage disequilibrium. Theor Appl Genet 83:813–820
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Communicated by J. S. Beckmann
Publication number 19, 330 of the Minnesota Agricultural Experiment Station
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Edwards, M.D., Page, N.J. Evaluation of marker-assisted selection through computer simulation. Theoret. Appl. Genetics 88, 376–382 (1994). https://doi.org/10.1007/BF00223648
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DOI: https://doi.org/10.1007/BF00223648