Literature DB >> 24232110

Detection of linkage between marker loci and loci affecting quantitative traits in crosses between segregating populations.

J S Beckmann1, M Soller.   

Abstract

By making use of pedigree information and information on marker-genotypes of the parent and F-1 individuals crossed to form an F-2 population, it is possible to carry out a linkage analysis between marker loci and loci affecting quantitative traits in a cross between segregating parent populations that are at fixation for alternative alleles at the QTL, but share the same alleles at the marker loci. For two-allele systems, depending on marker allele frequencies in the parent populations, 2-4 times as many F-2 offspring will have to be raised and scored for markers and quantitative traits in order to provide power equivalent to that obtained in a cross between fully inbred lines. Major savings in number of F-2 offspring raised can be achieved by scoring each parent pair for a large number of markers in each chromosomal region and scoring F-1 and F-2 offspring only for those markers for which the parents were homozygous for alternative alleles. For multiple allele systems, particularly when dealing with hypervariable loci, only 10%-20% additional F-2 offspring will have to be raised and scored to provide power equivalent to that obtained in a cross between inbred lines. When a resource population contains novel favorable alleles at quantitative trait loci that are not present (or rare) in a commercial population, analyses of this sort will enable the loci of interest to be identified, mapped and manipulated effectively in breeding programs.

Entities:  

Year:  1988        PMID: 24232110     DOI: 10.1007/BF00257850

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


  17 in total

1.  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

2.  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

3.  Hypervariable 'minisatellite' regions in human DNA.

Authors:  A J Jeffreys; V Wilson; S L Thein
Journal:  Nature       Date:  1985 Mar 7-13       Impact factor: 49.962

4.  The power of methods for the detection of major genes affecting quantitative characters.

Authors:  I McMillan; A Robertson
Journal:  Heredity (Edinb)       Date:  1974-06       Impact factor: 3.821

5.  Toward a saturated linkage map in tomato based on isozymes and random cDNA sequences.

Authors:  R Bernatzky; S D Tanksley
Journal:  Genetics       Date:  1986-04       Impact factor: 4.562

Review 6.  Host susceptibility to African trypanosomiasis: trypanotolerance.

Authors:  M Murray; W I Morrison; D D Whitelaw
Journal:  Adv Parasitol       Date:  1982       Impact factor: 3.870

7.  Rates of change in quantitative traits from fixation of new mutations.

Authors:  W G Hill
Journal:  Proc Natl Acad Sci U S A       Date:  1982-01       Impact factor: 11.205

8.  Restriction fragment length polymorphism among Israeli Holstein-Friesian dairy bulls.

Authors:  J S Beckmann; Y Kashi; E M Hallerman; A Nave; M Soller
Journal:  Anim Genet       Date:  1986       Impact factor: 3.169

9.  Restriction fragment length polymorphisms in dairy and beef cattle at the growth hormone and prolactin loci.

Authors:  E M Hallerman; A Nave; Y Kashi; Z Holzer; M Soller; J S Beckmann
Journal:  Anim Genet       Date:  1987       Impact factor: 3.169

10.  Segregation of isozyme markers and cold tolerance in an interspecific backcross of tomato.

Authors:  C E Vallejos; S D Tanksley
Journal:  Theor Appl Genet       Date:  1983-09       Impact factor: 5.699

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  17 in total

1.  DNA fingerprinting to detect genetic variation in rice using hypervariable DNA sequences.

Authors:  W Ramakrishna; K V Chowdari; M D Lagu; V S Gupta; P K Ranjekar
Journal:  Theor Appl Genet       Date:  1995-06       Impact factor: 5.699

2.  Structural variation around prolactin gene linked to quantitative traits in an elite Holstein sire family.

Authors:  C M Cowan; M R Dentine; R L Ax; L A Schuler
Journal:  Theor Appl Genet       Date:  1990-05       Impact factor: 5.699

3.  An analytical model for the estimation of chromosome substitution effects in the offspring of individuals heterozygous at a segregating marker locus.

Authors:  M R Dentine; C M Cowan
Journal:  Theor Appl Genet       Date:  1990-06       Impact factor: 5.699

4.  Power studies in the estimation of genetic parameters and the localization of quantitative trait loci for backcross and doubled haploid populations.

Authors:  E A Carbonell; M J Asins; M Baselga; E Balansard; T M Gerig
Journal:  Theor Appl Genet       Date:  1993-05       Impact factor: 5.699

5.  Power of tests for QTL detection using replicated progenies derived from a diallel cross.

Authors:  A Rebai; B Goffinet
Journal:  Theor Appl Genet       Date:  1993-09       Impact factor: 5.699

6.  Sequential sampling in determining linkage between marker loci and quantitative trait loci.

Authors:  U Motro; M Soller
Journal:  Theor Appl Genet       Date:  1993-02       Impact factor: 5.699

7.  A mixed model for analyses of data on multiple genetic markers.

Authors:  M E Goddard
Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

8.  Segregation of random amplified DNA markers in F1 progeny of conifers.

Authors:  J E Carlson; L K Tulsieram; J C Glaubitz; V W Luk; C Kauffeldt; R Rutledge
Journal:  Theor Appl Genet       Date:  1991-12       Impact factor: 5.699

9.  Similarity of maize and sorghum genomes as revealed by maize RFLP probes.

Authors:  G Binelli; L Gianfranceschi; M E Pè; G Taramino; C Busso; J Stenhouse; E Ottaviano
Journal:  Theor Appl Genet       Date:  1992-06       Impact factor: 5.699

10.  A survey of the goat genome transcribed in the lactating mammary gland.

Authors:  F Le Provost; A Lépingle; P Martin
Journal:  Mamm Genome       Date:  1996-09       Impact factor: 2.957

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