Gail McRae

Jordan, D. L., Buol, G. S., Brandenburg, R. L., Shew, B. B., Wilkerson, G. G., Lassiter, B. R., … Rhoads, J. (2022). A Risk Tool and Production Log Created using Microsoft Excel to Manage Pests in Peanut (Arachis hypogaea). JOURNAL OF INTEGRATED PEST MANAGEMENT, 13(1). https://doi.org/10.1093/jipm/pmac006

Spivey, T. A., Wilkerson, G. G., Buol, G. S., Edmisten, K. L., & Barnes, E. M. (2018). 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, 61(5), 1627–1638. https://doi.org/10.13031/trans.12801

Cammarano, D., Stefanova, L., Ortiz, B. V., Ramirez-Rodrigues, M., Asseng, S., Misra, V., … DiNapoli, S. (2013). Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US. REGIONAL ENVIRONMENTAL CHANGE, 13, S101–S110. https://doi.org/10.1007/s10113-013-0410-1

Lassiter, B. R., Jordan, D. L., Wilkerson, G. G., Shew, B. B., & Brandenburg, R. L. (2011). Influence of Cover Crops on Weed Management in Strip Tillage Peanut. WEED TECHNOLOGY, 25(4), 568–573. https://doi.org/10.1614/wt-d-11-00064.1

Yang, Z., Wilkerson, G. G., Buol, G. S., Bowman, D. T., & Heiniger, R. W. (2009). Estimating Genetic Coefficients for the CSM-CERES-Maize Model in North Carolina Environments. AGRONOMY JOURNAL, 101(5), 1276–1285. https://doi.org/10.2134/agronj2008.0234x

Robinson, B. L., Moffitt, J. M., Wilkerson, G. G., & Jordan, D. L. (2007). Economics and effectiveness of alternative weed scouting methods in peanut. WEED TECHNOLOGY, 21(1), 88–96. https://doi.org/10.1614/WT-05-190.1

Lassiter, B. R., Burke, I. C., Thomas, W. E., Pline-Srnic, W. A., Jordan, D. L., Wilcut, J. W., & Wilkerson, G. G. (2007). Yield and physiological response of peanut to glyphosate drift. WEED TECHNOLOGY, 21(4), 954–960. https://doi.org/10.1614/WT-07-045.1

Mera, R. J., Niyogi, D., Buol, G. S., Wilkerson, G. G., & Semazzi, F. H. M. (2006). Potential individual versus simultaneous climate change effects on soybean (C-3) and maize (C-4) crops: An agrotechnology model based study. GLOBAL AND PLANETARY CHANGE, 54(1-2), 163–182. https://doi.org/10.1016/j.gloplacha.2005.11.003

Weber, J. B., Taylor, K. A., & Wilkerson, G. G. (2006). Soil and herbicide properties influenced mobility of atrazine, metolachlor, and primisulfuron-methyl in field lysimeters. Agronomy Journal, 98(1), 8–18. https://doi.org/10.2134/argonj2004.0221

Weber, J. B., Taylor, K. A., & Wilkerson, G. G. (2006). Soil cover and tillage influenced metolachlor mobility and dissipation in field lysimeters. Agronomy Journal, 98(1), 19–25. https://doi.org/10.2134/argonj2004.0222

Weber, J. B., Wilkerson, G. G., & Reinhardt, C. F. (2004). Calculating pesticide sorption coefficients (K-d) using selected soil properties. CHEMOSPHERE, 55(2), 157–166. https://doi.org/10.1016/j.chemosphere.2003.10.049

Wilkerson, G. G., Price, A. J., Bennett, A. C., Krueger, D. W., Roberson, G. T., & Robinson, B. L. (2004). Evaluating the potential for site-specific herbicide application in soybean. WEED TECHNOLOGY, 18(4), 1101–1110. https://doi.org/10.1614/WT-03-258R

Jordan, D. L., Wilkerson, G. G., & Krueger, D. W. (2003). Evaluation of scouting methods in peanut (Arachis hypogaea) using theoretical net returns from HADSS (TM). WEED TECHNOLOGY, 17(2), 358–365. https://doi.org/10.1614/0890-037X(2003)017[0358:EOSMIP]2.0.CO;2

Bennett, A. C., Price, A. J., Sturgill, M. C., Buol, G. S., & Wilkerson, G. G. (2003). [Review of HADSS (TM), pocket HERB (TM), and WebHADSS (TM): Decision aids for field crops]. WEED TECHNOLOGY, 17(2), 412–420. https://doi.org/10.1614/0890-037X(2003)017[0412:HPHAWD]2.0.CO;2

Welch, S. M., Wilkerson, G., Whiting, K., Sun, N., Vagts, T., Buol, G., & Mavromatis, T. (2002). Estimating soybean model genetic coefficients from private- sector variety performance trial data. Transactions of the ASAE, 45(4), 1163–1175. https://doi.org/10.13031/2013.9925

Mavromatis, T., Boote, K. J., Jones, J. W., Wilkerson, G. G., & Hoogenboom, G. (2002). Repeatability of model genetic coefficients derived from soybean performance trials across different states. CROP SCIENCE, 42(1), 76–89. https://doi.org/10.2135/cropsci2002.0076

Wilkerson, G. G., Wiles, L. J., & Bennett, A. C. (2002). [Review of Weed management decision models: pitfalls, perceptions, and possibilities of the economic threshold approach]. WEED SCIENCE, 50(4), 411–424. https://doi.org/10.1614/0043-1745(2002)050[0411:WMDMPP]2.0.CO;2

Weber, J. B., Wilkerson, G. G., Linker, H. M., Wilcut, J. W., Leidy, R. B., Senseman, S., … Peeper, T. F. (2000). A proposal to standardize soil/solution herbicide distribution coefficients. WEED SCIENCE, 48(1), 75–88. https://doi.org/10.1614/0043-1745(2000)048[0075:APTSSS]2.0.CO;2

Krueger, D. W., Wilkerson, G. G., Coble, H. D., & Gold, H. J. (2000). An economic analysis of binomial sampling for weed scouting. WEED SCIENCE, 48(1), 53–60. https://doi.org/10.1614/0043-1745(2000)048[0053:AEAOBS]2.0.CO;2

Irmak, A., Jones, J. W., Mavromatis, T., Welch, S. M., Boote, K. J., & Wilkerson, G. G. (2000). Evaluating methods for simulating soybean cultivar responses using cross validation. AGRONOMY JOURNAL, 92(6), 1140–1149. https://doi.org/10.2134/agronj2000.9261140x

Scott, G. H., Wilcut, J. W., & Wilkerson, G. G. (1999). Cotton herb: a new decision making tool for weed management in cotton. Beltwide Cotton Conferences. Proceedings, 1(1999), 752–753.

Krueger, D. W., Coble, H. D., & Wilkerson, G. G. (1998). Software for mapping and analyzing weed distributions: gWeedMap. AGRONOMY JOURNAL, 90(4), 552–556. https://doi.org/10.2134/agronj1998.00021962009000040018x

WILKERSON, G. G., JONES, J. W., COBLE, H. D., & GUNSOLUS, J. L. (1990). SOYWEED - A SIMULATION-MODEL OF SOYBEAN AND COMMON COCKLEBUR GROWTH AND COMPETITION. AGRONOMY JOURNAL, 82(5), 1003–1010. https://doi.org/10.2134/agronj1990.00021962008200050033x