Gail Wilkerson

Bio

The major goal of Dr. Wilkerson’s research program is to improve crop management decision-making through the application of computer technology. Research has been concentrated in the following areas: 1) development of computerized crop and pest management decision aids; 2) evaluation of scouting protocols through a combination of field research and simulation experiments, and 3) development of physiologically based models of crop growth, pest population dynamics, and crop/pest interactions. Recently, Dr. Wilkerson has turned her attention to developing Web-based applications, and to evaluating the possibility of using information on climate variability and climate forecasts to improve crop and pest management decision-making.

Current Websites:

Apple Coddling Moth Risk Forecast: http://agroclimatenc.ncsu.edu/apple/codling_moth.aspx

Peanut Risk Management Decision Aid: http://www.peanut.ncsu.edu/riskmgmt/

Peanut Production in the Carolinas and Virginia: http://www.peanuts.ncsu.edu/

Public Weather Station Climate Data: http://agroclimatenc.ncsu.edu/climatedata/#

SoyVar (Soybean Variety Selection): http://www.soybeans.ncsu.edu/soyvar/

Strawberry Fruit Infection Risk Predictions: http://agroclimatenc.ncsu.edu/plantdisease/strawberry.aspx

Publications

• A Risk Tool and Production Log Created using Microsoft Excel to Manage Pests in Peanut (Arachis hypogaea) , Journal of Integrated Pest Management (2022)
• Use of CSM-CROPGRO-Cotton to Determine the Agronomic and Economic Value of Irrigation to Upland Cotton Production in North and South Carolina , Transactions of the ASABE (2018)
• Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US , Regional Environmental Change (2013)
• Influence of Cover Crops on Weed Management in Strip Tillage Peanut , Weed Technology (2011)
• Estimating Genetic Coefficients for the CSM‐CERES‐Maize Model in North Carolina Environments , Agronomy Journal (2009)
• Economics and Effectiveness of Alternative Weed Scouting Methods in Peanut , Weed Technology (2007)
• Yield and Physiological Response of Peanut to Glyphosate Drift , Weed Technology (2007)
• Potential individual versus simultaneous climate change effects on soybean (C3) and maize (C4) crops: An agrotechnology model based study , Global and Planetary Change (2006)
• Soil and herbicide properties influenced mobility of atrazine, metolachlor, and primisulfuron-methyl in field lysimeters , (2006)
• Soil cover and tillage influenced metolachlor mobility and dissipation in field lysimeters , (2006)