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dc.contributor.authorCarbonell, Emilio A.
dc.contributor.authorAsins, María J.
dc.contributor.authorBaselga, M.
dc.contributor.authorBalansard, E.
dc.contributor.authorGerig, T. M.
dc.date.accessioned2017-06-01T10:11:27Z
dc.date.available2017-06-01T10:11:27Z
dc.date.issued1993
dc.identifier.citationCarbonell, E.A., Asins, M.J., Baselga, M., Balansard, E., Gerig, T. M. (1993). Power Studies in the Estimation of Genetic-Parameters and the Localization of Quantitative Trait Loci for Backcross and Doubled Haploid Populations. Theoretical and Applied Genetics, 86(4), 411-416.
dc.identifier.issn0040-5752
dc.identifier.urihttp://hdl.handle.net/20.500.11939/4964
dc.description.abstractA statistical model for doubled haploids and backcrosses based on the interval-mapping methodology has been used to carry out power studies to investigate the effects of different experimental designs, heritabilities of the quantitative trait, and types of gene action, using two test statistics, the F of Fisher-Snedecor and the LOD score. The doubled haploid experimental design is more powerful than backcrosses while keeping actual type I errors similar to nominal ones. For the doubled haploid design, individual QTLs, showing heritabilities as low as 5% were detected in about 90% of the cases using only 250 individuals. The power to detect a given QTL is related to its contribution to the heritability of the trait. For a given nominal type I error, tests using F values are more powerful than with LOD scores. It seems that more conservative levels should be used for the LOD score in order to increase the power and obtain type I errors similar to nominal ones.
dc.language.isoen
dc.titlePower Studies in the Estimation of Genetic-Parameters and the Localization of Quantitative Trait Loci for Backcross and Doubled Haploid Populations
dc.typearticle
dc.date.issuedFreeFormMAY 1993
dc.entidadIVIACentro de Citricultura y Producción Vegetal
dc.entidadIVIACentro de Protección Vegetal y Biotecnología
dc.identifier.doi10.1007/BF00838555
dc.journal.abbreviatedTitleTheor.Appl.Genet.
dc.journal.issueNumber4
dc.journal.titleTheoretical and Applied Genetics
dc.journal.volumeNumber86
dc.page.final416
dc.page.initial411
dc.rights.accessRightsopenAccess
dc.source.typeImpreso


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