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• W1438901923 abstract "Pollen-mediated gene flow from genetically modified plants to non-target plants is a concern of crop growers, seed companies, the general public, and the scientific communities. Although there have been descriptive and mechanistic models to describe pollen dispersion, there has rarely been a comprehensive mechanistic model to dynamically simulate pollen release, dispersion, and deposition and to finally relate them to the gene flow (outcrossing). This research developed and validated such a comprehensive mechanistic model for corn crop gene flow risk management. Dynamic pollen dispersion and deposition were predicted by a 3-D random walk model according to inputs of weather data and plant and domain characteristics. Actual gene flow (outcrossing ratio) was obtained according to predicted grand total deposition flux at silk height during the whole pollination season. The model was validated by experimental data and was appropriate to predict gene flow with acceptable accuracy under different atmospheric and environmental conditions; on average, the ratios of measured and simulated values ranged from 0.82 to 1.21, while R 2 ranged from 0.56 to 0.68. The model can be easily adapted" @default.
• W1438901923 created "2016-06-24" @default.
• W1438901923 creator A5021001102 @default.
• W1438901923 creator A5088446807 @default.
• W1438901923 date "2010-07-22" @default.
• W1438901923 modified "2023-09-28" @default.
• W1438901923 title "Development and validation of atmospheric gene flow model for assessing environmental risks from transgenic corn crops." @default.
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• W1438901923 doi "https://doi.org/10.25165/ijabe.v3i2.217" @default.
• W1438901923 hasPublicationYear "2010" @default.
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