Literature DB >> 24186022

Evaluation of marker-assisted selection through computer simulation.

M D Edwards1, N J Page.   

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.

Entities:  

Year:  1994        PMID: 24186022     DOI: 10.1007/BF00223648

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  15 in total

1.  A Genetic Map of Lettuce (Lactuca sativa L.) with Restriction Fragment Length Polymorphism, Isozyme, Disease Resistance and Morphological Markers.

Authors:  B S Landry; R V Kesseli; B Farrara; R W Michelmore
Journal:  Genetics       Date:  1987-06       Impact factor: 4.562

2.  Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs.

Authors:  J S Beckmann; M Soller
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

3.  Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms.

Authors:  T Helentjaris; M Slocum; S Wright; A Schaefer; J Nienhuis
Journal:  Theor Appl Genet       Date:  1986-09       Impact factor: 5.699

4.  Restriction fragment length polymorphism markers in relation to quantitative characters.

Authors:  T H Ellis
Journal:  Theor Appl Genet       Date:  1986-04       Impact factor: 5.699

5.  Detection of linkage between quantitative trait loci and restriction fragment length polymorphisms using inbred lines.

Authors:  S P Simpson
Journal:  Theor Appl Genet       Date:  1989-06       Impact factor: 5.699

6.  Molecular-marker-facilitated investigations of quantitative trait loci in maize : 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers.

Authors:  M D Edwards; T Helentjaris; S Wright; C W Stuber
Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

7.  Efficiency of marker-assisted selection in the improvement of quantitative traits.

Authors:  R Lande; R Thompson
Journal:  Genetics       Date:  1990-03       Impact factor: 4.562

8.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

9.  Methodology of computer genetics research.

Authors:  E Scheinberg
Journal:  Can J Genet Cytol       Date:  1968-09

10.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

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  4 in total

1.  Comparative mapping in F2∶3 and F 6∶7 generations of quantitative trait loci for grain yield and yield components in maize.

Authors:  D F Austin; M Lee
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

2.  Comparative analysis of marker-assisted and phenotypic selection for yield components in cucumber.

Authors:  Matthew Darwin Robbins; Jack E Staub
Journal:  Theor Appl Genet       Date:  2009-05-31       Impact factor: 5.699

3.  Salt tolerance in Lycopersicon species. IV. Efficiency of marker-assisted selection for salt tolerance improvement.

Authors:  A J Monforte; M J Asíns; E A Carbonell
Journal:  Theor Appl Genet       Date:  1996-10       Impact factor: 5.699

4.  Identification of trait-improving quantitative trait loci for grain yield components from a dent corn inbred line in an advanced backcross BC2F2 population and comparison with its F2:3 population in popcorn.

Authors:  Y L Li; S Z Niu; Y B Dong; D Q Cui; Y Z Wang; Y Y Liu; M G Wei
Journal:  Theor Appl Genet       Date:  2007-05-10       Impact factor: 5.574

  4 in total

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