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Titolo:
Prediction of total genetic value using genome-wide dense marker maps
Autore:
Meuwissen, THE; Hayes, BJ; Goddard, ME;
Indirizzi:
Res Inst Anim Sci & Hlth, NL-8200 AB Lelystad, Netherlands Res Inst Anim Sci & Hlth Lelystad Netherlands NL-8200 AB ad, Netherlands Victorian Inst Anim Sci, Attwood, Vic 3049, Australia Victorian Inst Anim Sci Attwood Vic Australia 3049 d, Vic 3049, Australia Univ Melbourne, Inst Land & Food Resources, Parkville, Vic 3052, AustraliaUniv Melbourne Parkville Vic Australia 3052 arkville, Vic 3052, Australia
Titolo Testata:
GENETICS
fascicolo: 4, volume: 157, anno: 2001,
pagine: 1819 - 1829
SICI:
0016-6731(200104)157:4<1819:POTGVU>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
LINKAGE DISEQUILIBRIUM; ASSISTED SELECTION; CATTLE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
22
Recensione:
Indirizzi per estratti:
Indirizzo: Meuwissen, THE DLO, Dept Anim Breeding & Genet, Inst Anim Sci & Hlth, Box 65, NL-8200 AB Lelystad, Netherlands DLO Box 65 Lelystad Netherlands NL-8200 AB ad, Netherlands
Citazione:
T.H.E. Meuwissen et al., "Prediction of total genetic value using genome-wide dense marker maps", GENETICS, 157(4), 2001, pp. 1819-1829

Abstract

Recent advances in molecular genetic techniques will make dense marker maps available and genotyping many individuals for these markers feasible. Here we attempted to estimate the effects of similar to 50.000 marker haplotypes simultaneously from a limited number of phenotypic records. A genome of 1000 cM was simulated with a marker spacing of 1 cM. The markers surrounding evert; Ich I region were combined into marker haplotypes. Due to finite population size (N-e = 100), the marker haplotypes were in linkage disequilibrium with the QTL located between the markers. Using least squares, all haplotype effects could not be estimated simultaneously. When only the biggest effects were included, the) were overestimated and the accuracy of predicting genetic values of the offspring of the recorded animals was only 0.32. Best linear unbiased prediction of haplotype effects assumed equal variances associated to each 1-cM chromosomal segment, which yielded an accuracy of 0.73, although this assumption was far from true. Bayesian methods that assumed a prior distribution of the variance associated with each chromosomesegment increased this accuracy to 0.85, even when the prior was not correct. It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.

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Documento generato il 22/09/20 alle ore 15:59:02