Establishment and optimization of a regionally applicable maize gene-flow model

Area of Science:

• Agricultural Science
• Genetics
• Environmental Science

Background:

• Transgenic maize development raises concerns about transgene flow impacting seed purity.
• Maintaining seed quality requires specific isolation distances to minimize adventitious contamination.

Purpose of the Study:

• To develop a regionally applicable maize gene-flow model.
• To predict maximum threshold distances (MTD) for maintaining gene-flow below 1% and 0.1%.

Main Methods:

• Utilized a Gaussian plume model with meteorological data.
• Optimized model variables and introduced genetic pollen competitiveness.
• Calibrated the model using field experiment data.

Main Results:

• Simulated outcrossing rates closely matched field data (R²=0.89).
• Only 15.82% of released pollen actively dispersed.
• Determined MTD1% (10-49m) and MTD0.1% (17-125m) for Northeast China.

Conclusions:

• The developed model accurately predicts maize gene flow.
• The model provides essential data for setting isolation distances in agricultural practices.
• Effective transgene containment strategies can be informed by these findings.