A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize ( Zea mays L.)

dc.creatorMalosetti, M.
dc.creatorRibaut, J.M.
dc.creatorVargas Hernández, M.
dc.creatorCrossa, J.
dc.creatorEeuwijk, F. A. van
dc.date2013-06-30T05:24:33Z
dc.date2013-06-30T05:24:33Z
dc.date2008
dc.date.accessioned2023-07-17T19:57:08Z
dc.date.available2023-07-17T19:57:08Z
dc.identifierhttp://hdl.handle.net/10883/3067
dc.identifier10.1007/s10681-007-9594-0
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7509028
dc.descriptionDespite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have been proposed both for multi-trait QTL analysis and multi-environment QTL analysis, but these approaches break down when the number of traits and environments increases. We present models for an efficient QTL analysis of MTME data with mixed models by reducing the dimensionality of the genetic variance–covariance matrix by structuring this matrix using direct products of relatively simple matrices representing variation in the trait and environmental dimension. In the context of MTME data, we address how to model QTL by environment interactions and the genetic basis of heterogeneity of variance and correlations between traits and environments. We illustrate our approach with an example including five traits across eight stress trials in CIMMYT maize. We detected 36 QTLs affecting yield, anthesis-silking interval, male flowering, ear number, and plant height in maize. Our approach does not require specialised software as it can be implemented in any statistical package with mixed model facilities.
dc.description241-257
dc.formatPDF
dc.languageEnglish
dc.publisherSpringer
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
dc.rightsOpen Access
dc.source1-2
dc.source161
dc.sourceEuphytica
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectMixed Models
dc.subjectMulti-Environment Trial
dc.subjectMulti-Trait Analysis
dc.subjectQTL by Environment Interaction
dc.subjectPleiotropy
dc.subjectGENETIC CORRELATION
dc.subjectMATHEMATICAL MODELS
dc.subjectFIELD EXPERIMENTATION
dc.subjectQUANTITATIVE TRAIT LOCI
dc.subjectGENE INTERACTION
dc.titleA multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize ( Zea mays L.)
dc.typeArticle


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