Home LiteratureArticle Details
PMID: 10893871 Published · ppublish English Journal Article

Efficient marker-based recurrent selection for multiple quantitative trait loci.

Genetical research ·Vol. 75 ·No. 3 ·2000-06-00 ·Pages 357-68

Hospital F, Goldringer I, Openshaw S

Abstract

We studied the efficiency of recurrent selection based solely on marker genotypes (marker-based selection), in order to increase favourable allele frequency at 50 previously detected quantitative trait loci (QTLs). Two selection procedures were investigated, using computer simulations: (1) Truncation Selection (MTS), in which individuals are ranked based on marker score, and best individuals are selected for recombination; and (2) QTL Complementation Selection (QCS), in which individuals are selected such that their QTL composition complements those individuals already selected. Provided QTL locations are accurate, marker-based selection with a population size of 200 was very effective in rapidly increasing frequencies of favourable QTL alleles. QCS methods were more effective than MTS for improving the mean frequency and fixation of favourable QTL alleles. Marker-based selection was not very sensitive to a reduction in population size, and appears valuable to optimize the use of molecular markers in recurrent selection programmes.

MeSH Terms
Alleles Computer Simulation Genetic Complementation Test Genetic Markers Models, Genetic Quantitative Trait, Heritable Selection, Genetic
Chemicals
Genetic Markers
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Hospital F
Station de Génétique Végétale, INRA/UPS/INAPG, Gif sur Yvette, France. fred@moulon.inra.fr
Goldringer I
Openshaw S
Article Info
Journal
Genetical research
Abbr.
Genet Res
Published
2000-06-00
Pages
357-68
Language
English
Region
England
NLM ID
0370741
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com