Details for Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations
| Property | Value |
| Name: | Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations |
| Description: | Federer WT and Crossa J (2012). Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations. Frontiers in Plant Physiology 3:156. (DOI: 10.3389/fphys.2012.00156). Crop breeding programs using conventional approaches, as well as new biotechnological tools, rely heavily on data resulting from the evaluation of genotypes in different environmentalconditions (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. |
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| Last updated on: | 02/04/2014 13:08 |