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Assessment of genetically modified soybean GMB151 × DAS-44406-6 (application GMFF-2024-21774, EFSA-Q-2024-00330)
Abstract:
Genetically modified soybean GMB151 × DAS-44406-6 was developed by crossing to combine two single events: GMB151 and DAS-44406-6. The two-event stack soybean expresses the Cry14Ab-1, HPPD-4, PAT, AAD-12 and 2mEPSPS proteins to confer herbicide tolerance and resistance to plant parasitic nematodes. The GMO Panel previously assessed the two single soybean events and did not identify safety concerns. No new data on the single soybean events were identified that could lead to modification of the original conclusions on their safety. The molecular characterisation, comparative analysis (agronomic, phenotypic and compositional characteristics) and the outcome of the toxicological, allergenicity and nutritional assessment indicate that the combination of the single soybean events and of the newly expressed proteins in the two-event stack soybean does not give rise to food and feed safety and nutritional concerns. The GMO Panel concludes that two-event stack soybean, as described in this application, is as safe as the comparator and non-GM reference soybean varieties tested and no post-market monitoring of food/feed is considered necessary. In the case of accidental release of GM two-event stack soybean material into the environment, this would not raise environmental safety concerns. The post-market environmental monitoring plan and reporting intervals are in line with the intended uses of soybean GMB151 × DAS-44406-6. Post-market monitoring of food/feed is not considered necessary. The GMO Panel concludes that two-event stack soybean is as safe as its comparator and the tested non-GM reference varieties with respect to potential effects on human and animal health and the environment.
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Modified Boxplots
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...