Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/79029
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiu, W.en
dc.contributor.authorMaurer, H.en
dc.contributor.authorReif, J.en
dc.contributor.authorMelchinger, A.en
dc.contributor.authorUtz, H.en
dc.contributor.authorTucker, M.en
dc.contributor.authorRanc, N.en
dc.contributor.authorDella Porta, G.en
dc.contributor.authorWurschum, T.en
dc.date.issued2013en
dc.identifier.citationHeredity, 2013; 110(1):71-79en
dc.identifier.issn0018-067Xen
dc.identifier.issn1365-2540en
dc.identifier.urihttp://hdl.handle.net/2440/79029-
dc.description.abstractFamily mapping is based on multiple segregating families and is becoming increasingly popular because of its advantages over population mapping. Athough much progress has been made recently, the optimum design and allocation of resources for family mapping remains unclear. Here, we addressed these issues using a simulation study, resample model averaging and cross-validation approaches. Our results show that in family mapping, the predictive power and the accuracy of quatitative trait loci (QTL) detection depend greatly on the population size and phenotyping intensity. With small population sizes or few test environments, QTL results become unreliable and are hampered by a large bias in the estimation of the proportion of genotypic variance explained by the detected QTL. In addition, we observed that even though good results can be achieved with low marker densities, no plateau is reached with our full marker complement. This suggests that higher quality results could be achieved with greater marker densities or sequence data, which will be available in the near future for many species.en
dc.description.statementofresponsibilityW Liu, HP Maurer, JC Reif, AE Melchinger, HF Utz, MR Tucker, N Ranc, G Della Porta and T Würschumen
dc.language.isoenen
dc.publisherNature Publishing Groupen
dc.rights© 2013 Macmillan Publishers Limited All rights reserveden
dc.subjectPlants; Seeds; Reproducibility of Results; Crosses, Genetic; Genetics, Population; Genotype; Linkage Disequilibrium; Quantitative Trait Loci; Models, Genetic; Computer Simulation; Genetic Association Studiesen
dc.titleOptimum design of family structure and allocation of resources in association mapping with lines from multiple crossesen
dc.typeJournal articleen
dc.identifier.rmid0020123767en
dc.identifier.doi10.1038/hdy.2012.63en
dc.identifier.pubid22125-
pubs.library.collectionAgriculture, Food and Wine publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidTucker, M. [0000-0003-4661-6700]en
Appears in Collections:Agriculture, Food and Wine publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.