Literature DB >> 8600020

Using marker-maps in marker-assisted selection.

J C Whittaker1, R N Curnow, C S Haley, R Thompson.   

Abstract

A method of using information on the location of markers to improve the efficiency of marker-assisted selection (MAS) in a population produced by a cross between two inbred lines is developed. The method is closer to mapping QTL than the selection index approaches to MAS described by previous authors. We use computer simulations to compare our method with phenotypic selection and two selection index approaches, simulations being performed on three genetic maps. The simulations show that whilst MAS can be considerably more efficient than phenotypic selection differences between the three MAS methods are slight. Which of the MAS methods is best depends on a number of factors: in particular the genetic map, the time scale under consideration ant the population size are of importance.

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Year:  1995        PMID: 8600020     DOI: 10.1017/s0016672300034698

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  6 in total

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Journal:  Plant Mol Biol       Date:  2000-01       Impact factor: 4.076

2.  On prediction of genetic values in marker-assisted selection.

Authors:  C Lange; J C Whittaker
Journal:  Genetics       Date:  2001-11       Impact factor: 4.562

3.  Marker-assisted selection in segregating generations of self-fertilizing crops.

Authors:  Pengyuan Liu; Jun Zhu; Yan Lu
Journal:  Theor Appl Genet       Date:  2004-04-07       Impact factor: 5.699

4.  Look before you leap: a new approach to mapping QTL.

Authors:  B Emma Huang; Andrew W George
Journal:  Theor Appl Genet       Date:  2009-07-08       Impact factor: 5.699

5.  Marker-assisted selection efficiency in populations of finite size.

Authors:  L Moreau; A Charcosset; F Hospital; A Gallais
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

6.  Evaluation of the effect and profitability of gene-assisted selection in pig breeding system.

Authors:  Ya-Lan Li; Qin Zhang; Yao-Sheng Chen
Journal:  J Zhejiang Univ Sci B       Date:  2007-11       Impact factor: 3.066

  6 in total

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