Journal of Agricultural and Food Chemistry · 2011 · 21 citations · 16 references
NutritionPrecision AgricultureEngineeringGeneticsAgricultural EconomicsStacked-event KernelsGenomicsCrop ImprovementGenetically Modified CropsMaize GrainsGrain QualityMaize KernelsGm CropSustainable AgricultureBiostatisticsPublic HealthWeight/weight Gmo ContentCrop YieldStatistical GeneticsGenetic VariationFood QualityAgricultural ScienceCrop ProtectionCrop ScienceGenetic EngineeringGmo Content
Because of the increasing use of maize hybrids with genetically modified (GM) stacked events, the established and commonly used bulk sample methods for PCR quantification of GM maize in non-GM maize are prone to overestimate the GM organism (GMO) content, compared to the actual weight/weight percentage of GM maize in the grain sample. As an alternative method, we designed and assessed a group testing strategy in which the GMO content is statistically evaluated based on qualitative analyses of multiple small pools, consisting of 20 maize kernels each. This approach enables the GMO content evaluation on a weight/weight basis, irrespective of the presence of stacked-event kernels. To enhance the method's user-friendliness in routine application, we devised an easy-to-use PCR-based qualitative analytical method comprising a sample preparation step in which 20 maize kernels are ground in a lysis buffer and a subsequent PCR assay in which the lysate is directly used as a DNA template. This method was validated in a multilaboratory collaborative trial.
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Statistical considerations in seed purity testing for transgenic traits
K.M. Remund, Doris A. Dixon, Deanne Wright et al. · Seed Science Research · 2001 · 100 citations · Full text
Hans‐Ulrich Waiblinger, Britta Ernst, Annette Anderson et al. · European Food Research and Technology · 2007 · 99 citations