1.4 screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations

dc.creatorFederer, W.T.
dc.creatorCrossa, J.
dc.date2013-06-07T21:02:53Z
dc.date2013-06-07T21:02:53Z
dc.date2012
dc.date.accessioned2023-07-17T19:56:31Z
dc.date.available2023-07-17T19:56:31Z
dc.identifierhttp://hdl.handle.net/10883/1892
dc.identifier10.3389/fphys.2012.00156
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7508771
dc.descriptionCrop breeding programs using conventional approaches, as well as new biotechnological tools, rely heavily on data resulting from the evaluation of genotypes in different environmental conditions (agronomic practices, locations, and years). Statistical methods used for designing field and laboratory trials and for analyzing the data originating from those trials need to be accurate and efficient. The statistical analysis of multi-environment trails (MET) is useful for assessing genotype×environment interaction (GEI), mapping quantitative trait loci (QTLs), and studying QTL×environment interaction (QEI). Large populations are required for scientific study of QEI, and for determining the association between molecular markers and quantitative trait variability. Therefore, appropriate control of local variability through efficient experimental design is of key importance. In this chapter we present and explain several classes of augmented designs useful for achieving control of variability and assessing genotype effects in a practical and efficient manner. A popular procedure for unreplicated designs is the one known as ?systematically spaced checks.? Augmented designs contain ?c? check or standard treatments replicated ?r? times, and ?n? new treatments or genotypes included once (usually) in the experiment.
dc.formatPDF
dc.languageEnglish
dc.publisherFrontiers
dc.publisherhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365830/
dc.rightsOpen Access
dc.source3
dc.sourceFrontiers in Physiology
dc.source156
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectMulti-Environment Trials
dc.subjectCLIMATIC ZONES
dc.subjectFIELD EXPERIMENTATION
dc.subjectEXPERIMENTAL DESIGN
dc.subjectGENOTYPE ENVIRONMENT INTERACTION
dc.subjectQUANTITATIVE TRAIT LOCI
dc.title1.4 screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations
dc.typeArticle


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