• AgWeatherNet

2013

Ahmad, A., A. Ali, T. Khaliq, S.A. Wajid, Z. Iqbal, M. Ibrahim, H.M.R. Javeed, and G. Hoogenboom. 2013. OILCROP-SUN model relevance for evaluation of nitrogen management of sunflower hybrids in Sargodha, Punjab. American Journal of Plant Sciences 4:1731-1735.

Ahmad, S., A. Ahmad, H. Ali, A. Hussain, A. Garcia y Garcia, M.A. Khan, M. Zia-Ul-Haq, M. Hasanuzzaman, and G. Hoogenboom. 2013. Application of the CSM-CERES-Rice model for evaluation of plant density and irrigation management of transplanted rice for an irrigated semiarid environment. Irrigation Science 31(3):491-506. (DOI 10.1007/s00271-012-0324-6).

Anothai, J., C.M.T. Soler, A. Green, T.J. Trout, and G. Hoogenboom. 2013. Evaluation of two evapotranspiration approaches simulated with the CSM-CERES-Maize model under different irrigation strategies and the impact on maize growth, development, and soil moisture content for semi-arid conditions. Agricultural and Forest Meteorology 176(1):64-76.

Bannayan, M., E. Eyshi Rezaei, and G. Hoogenboom. 2013. Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration. Agricultural Water Management 126(1):56-63.

Deligios, P.A., R. Farci, L. Sulas, G. Hoogenboom, and L. Ledda. 2013. Predicting growth and yield of winter rapeseed in a Mediterranean environment: Model adaptation at a field scale. Field Crops Research 144(1):100-112.

Jongrungklang, N., B. Toomsan, N. Vorasoot, S. Jogloy, K.J. Boote, G. Hoogenboom, and A. Patanothai. 2013. Drought tolerance mechanisms for yield responses to pre-flowering drought stress of peanut genotypes with different drought tolerant levels. Field Crops Research 144(1):34-42.

Liu, S., J.Y. Yang, XY. Zhang, C.F. Drury, W.D. Reynolds, and G. Hoogenboom. 2013. Modelling crop yield, soil water content and soil temperature for a soybean-maize rotation under conventional, reduced and conservation tillage systems in Northeast China. Agricultural Water Management 123(1):32-44.

Nadig, K., W. Potter, G. Hoogenboom, and R.W. McClendon. 2013. Comparison of individual and combined ANN models for prediction of air and dew point temperature. Applied Intelligence 39(2):354-366. (DOI 10.1007/s10489-012-0417-1).

Phakamas, N., A. Jintrawet, A. Patanothai, P. Sringam, and G. Hoogenboom. 2013. Estimation of solar radiation based on air temperature and application with the DSSAT v4.5 peanut and rice simulation models in Thailand. Agricultural and Forest Meteorology 180(1):182-193.

Putto, C.. A. Patanothai, S.Jogloy, K.J. Boote, and G. Hoogenboom. 2013. Determination of plant traits that affect genotype x location ( G x L) interaction in peanut using the CSM-CROPGRO-Peanut model. International Journal of Plant Production 7(3):537-568.

Salazar-Gutierrez, M.R., J. Johnson, B. Chaves-Cordoba, and G. Hoogenboom. 2013. Relationship of base temperature to development of winter wheat. International Journal of Plant Production 7(4):741-762.

Soler, C.M.T., A. Suleiman, J. Anothai, I. Flitcroft, and G. Hoogenboom. 2013. Scheduling irrigation with a dynamic crop growth model and determining the relation between simulated drought stress and yield for peanut. Irrigation Science 31(5):889-901. (DOI 10.1007/s00271-012-0366-9).

Suleiman, A.A., C.M. Tojo Soler, and G. Hoogenboom. 2013. Determining FAO-56 crop coefficients for peanut under different water stress levels. Irrigation Science 31(2):169-178.

Venkadesh, S., G. Hoogenboom, W. Potter, and R. McClendon. 2013. A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks. Applied Soft Computing 13(5):2253-2260.

Wajid, A. M.H.U. Rahman, A. Ahmad, T. Khaliq, N. Mahmood, F. Rasul, M.U. Bashir, M. Awais, J. Hussain, and G. Hoogenboom. 2013. Simulating the interactive impact of nitrogen and promising cultivars on yield of lentil (Lens culinaris) using CROPGRO-Legume model. International Journal of Agriculture and Biology 15(6):1331-1336.

White, J.W., L.A. Hunt, K.J. Boote, J.W. Jones, J. Koo, S. Kim, C.H. Porter, P.W. Wilkens, and G. Hoogenboom. 2013. Integrated description of agricultural field experiments and production: The ICASA Version 2.0 Data Standards. Computers and Electronics in Agriculture 96(1):1-12.

Woli, P., J.O. Paz, G. Hoogenboom, A. Garcia y Garcia, and C.W. Fraisse. 2013. The ENSO effect on peanut yield as influenced by planting date and soil type. Agricultural Systems 121(1):1-8.

Yang, J.M., J.Y. Yang, S. Dou, X.M. Yang, and G. Hoogenboom. 2013. Simulating the effect of long-term fertilization on maize yield and soil C/N dynamics in northeastern China using the DSSAT and CENTURY-based soil model. Nutrient Cycling in Agroecosystems 95(3):287-303.

2012

Ahmad, S.,A. Ahmad, C.M.T. Soler, H. Ali, M. Zia-ul-Haq, J. Anothai, A. Hussain, G. Hoogenboom, and M. Hasanuzzaman. 2012. Application of the CSM-CERES-Rice model for evaluation of plant density and nitrogen management of fine transplanted rice for an irrigated semiarid environment. Precision Agriculture 13(2):200-218.

Amjed, A., S. Sanjani, G. Hoogenboom, A. Ahmad, T. Khaliq, S.A. Wajid, I.R. Noorka, and S. Ahmad. 2012. Application of crop growth models in agriculture of developing countries: A review. New Horizons in Science & Technology 1(4):95-99.

Bidogeza, J, G. Hoogenboom, P.B.M. Berentsen, J. De Graaf, and A.G.J.M. Oude Lansink. 2012. Application of DSSAT crop models to generate altenative production activities under combined use of organic-inorganic nutrients in Rwanda. Journal of Crop Improvement. 26(3):346-363.

Chevalier, R.F., G. Hoogenboom, R.W. McClendon, and J.O. Paz. 2012. A web-based fuzzy expert system for frost warnings in horticultural crops. Environmental Modeling & Software 35(1):84-91.

He, Y., H. Wang, B. Qian, B. McConkey, H. Cutforth, R. Lemke, R. DePauw, K. Brandt, T. McCaig, K. Hu, and G. Hoogenboom. 2012. Effects of climate change on killing frost on the Canadian prairies. Climate Research 54(3):221-231. (DOI 10.3354/cr01114).

Jongrungklang, N., B. Toomsan, N. Vorasoot, S. Jogloy, K.J. Boote, G. Hoogenboom, and A. Patanothai. 2012. Classification of root distribution patterns and their contributions to yield in peanut genotypes under mid-season drought stress. Field Crops Research 127(1):181-190.

Liu, H.L., J. Yang, P. He, Y. Bai, J. Jin, C.F. Drury, Y. Zhu, X. Yang, W. Li, J. Xie, J. Yang, and G. Hoogenboom. 2012. Optimizing parameters of CSM-CERES-Maize model to improve simulation performance of maize growth and nitrogen uptake in Northeast China. Journal of Integrative Agriculture 11(11):1898-1913.

Olatinwo, R.O., T. Prabha, J.O. Paz, and G. Hoogenboom. 2012. Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting(WRF) model. International Journal of Biometeorology 56(2):259-268.

Pathak, T.B., J.W. Jones, C.W. Fraisse, D. Wright, and G. Hoogenboom. 2012. Uncertainty analysis and parameter estimation for the CSM-CROPGRO-Cotton Model. Agronomy Journal 104(5):1363-1373.

Paz, J.O., P. Woli, A. Garcia y Garcia, and G. Hoogenboom. 2012. Cotton yields as influenced by ENSO at different planting dates and spatial aggregation levels. Agricultural Systems 111(1):45-52.

Romero, C.C., G. Hoogenboom, G.A. Baigorria, J. Koo, A.J. Gijsman, and S. Wood. 2012. Reanalysis of a global soil database for crop and environmental modeling. Environmental Modeling & Software 35(1):163-170.

Roncoli, C., N. Breuer, D. Zierden, C. Fraise, K. Broad, and G. Hoogenboom. 2012. The art of the science: climate forecasts for wildfire management in the southeastern United States. Climatic Change 113(2):1113-1121. (DOI 10.1007/s10584-012-0526-1).

Salazar, M.R., J.E. Hook, A. Garcia y Garcia, J.O. Paz, B. Chaves, and G. Hoogenboom. 2012. Estimating irrigation water use for maize in the Southeastern USA: A modeling approach. Agricultural Water Management 107(1):104-111.

Saberali, S.F., S.A.M. Modarres-Sanavy, M. Bannayan, M.A. Baghestani, H. Rahimian-Mashadi, and G. Hoogenboom. 2012. Dry bean competitiveness with redroot pigweed as affected by growth habit and nitrogen rate. Field Crops Research 135(1):38-45.

Tedihou, E., R. Olatinwo, K. Hell, B. Hau, and G. Hoogenboom. 2012. Effects of variety, cropping system and soil inoculation on Aspergillus flavus on aflatoxin levels during storage of maize. Tropical Plant Pathology 37(1):25-36.

Thorp, K.R., J.W. White, C.H. Porter, G. Hoogenboom, G.S. Nearing, and A.N. French. 2012. Methodology to evaluate the performance of simulation models for alternative compiler and operating system configurations. Computers and Electronics in Agriculture 81(1):62-71.

Wang, H., Y. He, B. Qian, B. McConkey, H. Cutforth, T. McCaig, G. McLeod, R. Zentner, R. DePauw, R. Lemke, K. Brandt, T. Liu, X. Qin, J.W. White, T. Hunt, and G. Hoogenboom. 2012. Climate change and biofuel wheat: a case study of southern Saskatchewan. Canadian Journal of Plant Science 92(3):421-425.

2011

Bakhtiari, B., N. Ghahreman, A. Liaghat, and G. Hoogenboom. 2011. Evaluation of reference evapotranspiration models for a semiarid environment using lysimeter measurements. Journal of Agricultural Science and Technology 13(2):223-237.

Buddhaboon, C, A. Jintrawet, and G. Hoogenboom. 2011. Effects of planting date and variety on flooded rice production in the deepwater area of Thailand. Field Crops Research 124(2):270-277.

Crane, T.A., C. Roncoli, and G. Hoogenboom. 2011. Adaptation to climate change and climate variability: The importance of understanding agriculture as performance. NJAS-Wageningen Journal of Life Sciences 57(3-4):179-185.

Chevalier, R.F., G. Hoogenboom, R.W. McClendon, and J.O. Paz. 2011. Support vector regression with reduced training sets for air temperature prediction: A comparison with artificial neural networks. Neural Computing and Applications 20(1):151-159.

Fang, H., S. Liang, and G. Hoogenboom. 2011. Integration of MODIS LAI and vegetation index products with the CSM-CERES-Maize model for corn yield estimation. International Journal of Remote Sensing 32(4):1039-1065.

Furman, C., C. Roncoli, T. Crane, and G. Hoogenboom. 2011. Beyond the "fit": introducing climate forecasts among organic farmers in Georgia (USA). Climatic Change 109(3-4):791-799. (doi:10.1007/s10584-011-0238-y).

Jongrungklang, N., B. Toomsan, N. Vorasoot, S. Jogloy, K.J. Boote, G. Hoogenboom, and A. Patanothai. 2011. Rooting traits of peanut genotypes with different yield responses to pre-flowering drought stress. Field Crops Research 120(2):262-270.

Liu, H.L., J.Y. Yang, C.F. Drury, W.D. Reynolds, C.S. Tan, Y.L. Bai, P. He, J. Jin, and G. Hoogenboom. 2011. Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production. Nutrient Cycling in Agroecosystems 89(3):313-328.

Liu, H.L., J.Y. Yang, C.S. Tan, C.F. Drury, W.D. Reynolds, T.Q. Zhang, Y.L. Bai, J. Jin, P. He, and G. Hoogenboom. 2011. Simulating water content, crop yield and nitrate-N loss under free and controlled tile drainage with subsurface irrigation using the DSSAT model. Agricultural Water Management 98(6):1105-1111.

McNider, R.T., J.R. Christy, D. Moss, K. Doty, C. Handyside, A. Limaye, A. Garcia y Garcia and G. Hoogenboom. 2011. A real-time gridded crop model for assessing spatial drought stress on crops in the Southeast USA. Journal of Applied Meteorology and Climatology 50(7):1459-1475.

Olatinwo, R.O., T. Prabha, J.O. Paz, D.G. Riley, and G. Hoogenboom. 2011. The Weather Research and Forecasting (WRF) model: application in the prediction of TSWV-vectors population. Journal of Applied Entomology 135(1-2 ):81-90.

Persson, T., B. Ortiz, D.I. Bransby, S. Sladden, W. Wu, and G. Hoogenboom. 2011. Determining the impact of climate and soil variability on switchgrass (Panicum virgatum L.) production in the south-eastern USA; a simulation study. Biofuels, Bioproducts, and Biorefining 5(5):505-518.

Prabha, T.V., G. Hoogenboom, and T.G. Smirnova. 2011. Role of land-surface parameterizations on modeling cold-pooling events and low-level jets. Atmospheric Research 99(1):147-161.

Soler, C.M.T. V. B. Bado, K Traore, W.M. Bostick, J. W. Jones, and G. Hoogenboom. 2011. Soil organic carbon dynamics and yield for different crop rotations in a degraded ferruginous tropical soil in a semi-arid region: A simulation approach. Journal of Agricultural Science 149(5):579-593.

Suriharn, B., A. Patanothai, K.J. Boote, and G. Hoogenboom. 2011. Designing a peanut ideotype for a target environment using the CSM-CROPGRO-Peanut model. Crop Science 51(5):1887-1902.

White, J.W., G. Hoogenboom, P.W. Wilkens, P.W. Stackhouse, and J.M. Hoell. 2011. Evaluation of satellite-based, modeled-derived daily solar radiation data for the continental United States. Agronomy Journal 103(4):1242-1251.

White, J.W., G. Hoogenboom, B.A. Kimball, and G.W. Wall. 2011. Methodologies for simulating impacts of climate change on agricultural production Field Crops Research 124(3):357-368.

Yang, J.M., S. Dou, J.Y. Yang, G. Hoogenboom, X. Jiang, Z.Q. Zhang, H.W. Jiang, and L.H. Jia. 2011. Crop-soil nitrogen cycling and soil organic carbon balance in black soil zone of Jilin Province based on DSSAT model. Chinese Journal of Applied Ecology 22(8):2075-2083.

Yang, J.M., J. Liu, S. Dou, J.Y. Yang, and G. Hoogenboom. 2011. Evaluation and optimization of best management practices of maize for black soil in Jilin China using the DSSAT model: I. Cultivar calibration and sensitivity analysis of maize yield parameters. Acta Pedologica Sinica 48(2):366-374.

2010

Banterng, P., G. Hoogenboom, A. Patanothai, P. Singh, S. P. Wani, P. Pathak, S. Tongpoonpol, S. Atichart, P. Srihaban, S. Buranaviriyakul, A. Jintrawet, and T. C. Nguyen. 2010. Application of the Cropping System Model (CSM)-CROPGRO-Soybean for determining optimum management strategies for soybean in tropical environments. Journal of Agronomy and Crop Science 196(3):231-242.

Boote, K.J., J.W. Jones, G. Hoogenboom, and J.W. White. 2010. The role of crop systems simulation in agriculture and environment. International Journal of Agricultural and Environmental Information Systems 1(1):41-54.

Crane, T.A., C. Roncoli, J.O. Paz, N. Breuer, K. Broad, K.T. Ingram, and G. Hoogenboom. 2010. Forecast skill and farmers' skills: Seasonal climate forecasts and agricultural risk management in the southeastern United States. Weather, Climate and Society 2(1):44-59.

Fang, Q., L. Ma, Q. Yu, L.R. Ahuja, R.W. Malone, and G. Hoogenboom. 2010. Irrigation strategies to improve the water use efficiency of wheat-maize double cropping systems in North China Plain. Agricultural Water Management 97(8):1165-1174.

Garcia y Garcia, A., T. Persson, L.C. Guerra, and G. Hoogenboom. 2010. Response of soybean genotypes to different irrigation regimes in a humid region of the southeastern USA. Agricultural Water Management 97(7):981-987.

Garcia y Garcia, A., T. Persson, J.O. Paz, C. Fraisse, and G. Hoogenboom. 2010. ENSO-based climate variability affects water use efficiency of rainfed cotton grown in the southeastern USA. Agriculture, Ecosystems and Environment 139(4):629-635.

Gheysari, M., A. Garcia y Garcia, and G. Hoogenboom. 2010. Relationship between air and media in frequently irrigated containerized nursery crops. Canadian Biosystems Engineering 52:1.19-1.34.

Nangia, V., M. Ahmad, J. Du, C. Yan, G. Hoogenboom, X.Mei, W. He, S. Liu, and Q. Lu. 2010. Modeling field-scale effects of conservation agriculture practices on land and water productivity of rainfed maize in the Yellow River Basin, China. International Journal of Agricultural and Biological Engineering 3(2):5-17.

Olatinwo, R.O., J.O. Paz, R.C. Kemerait, A.K. Culbreath, and G. Hoogenboom. 2010. El Niño-Southern Oscillation (ENSO): Impact on tomato spotted wilt intensity in peanut and the implication on yield. Crop Protection 29(5):448-453.

Panda, S.S., G. Hoogenboom, and J.O. Paz. 2010. Remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: a review. Remote Sensing 2:1973-1997.

Persson, T., A. Garcia y Garcia, J.O. Paz, B.V. Ortiz, and G. Hoogenboom. 2010. Simulating the production potential and net energy yield of maize-ethanol in the southeastern USA. European Journal of Agronomy 32(4):272-279.

Persson, T., A. Garcia y Garcia, J.O. Paz, C.W. Fraisse, and G. Hoogenboom. 2010. Reduction in greenhouse gas emissions due to the use of bio-ethanol from wheat grain and straw produced in the south-eastern USA. Journal of Agricultural Science 148(5):511-527.

Phakamas, N., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2010.Determination of adaptive responses of peanut genotype * location interaction using the CSM-CROPGRO-Peanut model. International Journal of Plant Production 4(3): 223-233.

Prabha, T.V., and G. Hoogenboom. 2010. Evaluation of solar irradiance at the surface - inferences from in situ and satellite observations and a mesoscale model. Theoretical and Applied Climatology 102(3-4):455-469.

Soler, C.M.T., G. Hoogenboom, R. Olatinwo, B. Diarra, F. Waliyar and S. Traore. 2010. Peanut contamination by Aspergillus flavus and Aflatoxin B1 in granaries of villages and markets of Mali, West Africa. Journal of Food, Agriculture and Environment 8(2):195-2010.

Soler, C.M.T., P.C. Sentelhas, and G. Hoogenboom. 2010. The impact of El Niño Southern Oscillation phases on off-season maize yield for a subtropical region of Brazil. International Journal of Climatology 30(7):1056-1066.

Wu, W., J. Chen, H. Liu, A. Garcia y Garcia, and G. Hoogenboom. 2010. Parameterizing soil and weather inputs for crop simulation models using the VEMAP database. Agriculture, Ecosystems and Environment 135(1-2):111-118.

Wu, W., H. Liu, G. Hoogenboom, and J.W. White. 2010. Evaluating the accuracy of VEMAP daily weather data for application in crop simulations on a regional scale. European Journal of Agronomy 32(3):187-194.

2009

Ahmad, A., S. Iqbal, S. Ahmad, T. Khaliq, W. Nasim, Z. Husnain, A. Hussain, M. Zia-Ul-Haq, and G. Hoogenboom. 2009. Seasonal growth, radiation interception, its conversion efficiency and biomass production of Oryza sativa L. under diverse agroenvironments in Pakistan. Pakistan Journal of Botany 41(3):1241-1257.

Ahmad, S., A. Ahmad, M. Zia-ul-Haq, H. Ali, T. Khaliq, M. Akbar, M.A. Khan, A. Hussain, and G. Hoogenboom. 2009. Resources use efficiency of field grown transplanted rice (Oryza sativa L.) under irrigated semiarid environment. Journal of Food, Agriculture & Environment 7(2):487-492.

Ahmad, S., M. Zia-Ul-Haq, H. Ali, A. Ahmad, M.A. Khan, T. Khaliq, Z. Husnain, A. Hussain, and G. Hoogenboom. 2009. Morphological and quality parameters of Oryza sativa L. as affected by population dynamics, nitrogen fertilization and irrigation regimes. Pakistan Journal of Botany 41(3):1259-1269.

Anothai, J., A. Patanothai, K. Pannangpetch, S. Jogloy, K.J. Boote, and G. Hoogenboom. 2009. Multi-environment evaluation of peanut lines by model simulation with the cultivar coefficients derived from a reduced set of observed field data. Field Crops Research 110(2):111-122.

Ashish, D., G. Hoogenboom, and R.W. McClendon. 2009. Land-use classification of multispectral aerial images using artificial neural networks. International Journal of Remote Sensing 30(8):1989-2004.

Bannayan, M., and G. Hoogenboom. 2009. Using pattern recognition for estimating cultivar coefficients of a crop simulation model. Field Crops Research 111(3):290-302.

Bannayan, M., C.M.T. Soler, A. Garcia y Garcia, L.C. Guerra, and G. Hoogenboom. 2009. Interactive effects of elevated [CO2] and temperature on growth and development of a short- and long-season peanut cultivar. Climatic Change 93(3-4):389-406.

Garcia y Garcia, A., L.C. Guerra, and G. Hoogenboom. 2009. Impact of planting date and hybrid on early growth of sweet corn. Agronomy Journal 101(1):193-200.

Garcia y Garcia, A.,L.C. Guerra, and G. Hoogenboom. 2009. Water use and water use efficiency of sweet corn under different weather conditions and soil moisture regimes. Agricultural Water Management 96(10):1369-1376.

Gheysari, M., S.M. Mirlatifi, M. Bannayan, M. Homaee, and G. Hoogenboom. 2009. Interaction of water and nitrogen on maize grown for silage. Agricultural Water Management 96(5):809-821.

Gheysari, M., S.M.Mirlatifi, M. Homaee, M.E. Asadi, and G. Hoogenboom. 2009. Nitrate leaching in a silage maize field under different irrigation and nitrogen fertilizer rates. Agricultural Water Management 96(6):946-954.

Ma, L., G. Hoogenboom, S.A. Saseendran, P.N.S. Bartling, L.R. Ahuja, and T.R. Green. 2009. Effects of estimating soil hydraulic properties and root growth factor on soil water balance and crop production. Agronomy Journal 101(3):572-583.

Mullen, J.D., Y. Yu, and G. .Hoogenboom. 2009. Estimating the demand for irrigation water in a humid climate A case study from the southeastern United States. Agricultural Water Management 96(10):1421-1428.

Olatinwo, R.O., J.O. Paz, S.L. Brown, R.C. Kemerait, Jr, A.K. Culbreath, and G. Hoogenboom. 2009. Impact of early spring weather factors on the risk of Tomato spotted wilt in peanut. Plant Disease 93(8):783-793.

Ortiz, B., G. Hoogenboom, G. Vellidis, K.J. Boote, R. F. Davis, and C. Perry 2009. Adapting the CROPGRO-Cotton model to simulate biomass and yield under southern root-knot nematode parasitism. Transactions of the American Society of Agricultural and Biological Engineers 52(6):2129-2140.

Panda, S.S., G. Hoogenboom, and J.O. Paz. 2009. Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques. Computers and Electronics in Agriculture 67(1-2):51-58.

Persson, T., A. Garcia y Garcia, J. Paz, J.W. Jones, and G. Hoogenboom. 2009. Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices. Agricultural Systems 100(1-3):11-21.

Persson, T., A. Garcia y Garcia, J. Paz, J.W. Jones, and G. Hoogenboom. 2009. Net energy value of maize ethanol as a response to different climate and soil conditions in southeastern USA. Biomass and Bioenergy 33(8):1055-1064.

Prabha, T.V., and G. Hoogenboom. 2009. Observed dimming effect during a forest fire in the southeastern United States and the role of aerosols. Geophyiscal Research Letters 36, L11806, doi:10.1029/2009GL038435.

Putto, W., A. Patanothai, S.Jogloy, K. Pannangpetch, K.J. Boote, and G. Hoogenboom. 2009. Determination of efficient test sites for evaluation of peanut breeding lines using the CSM-CROPGRO-Peanut model. Field Crops Research 110(3):272-281.

Rader, M., P. Kirshen, C. Roncoli, G. Hoogenboom, and F. Ouattara. 2009. Agricultural risk decision support system for resource-poor farmers in Burkina Faso, West Africa. Journal of Water Resources Planning and Management 135(5): 323-333.

Roncoli, C., C. Jost, P. Kirshen, M. Sanon, K.T. Ingram, M. Woodin, L.Somé, F. Ouattara, B. J. Sanfo, C. Sia, P. Yaka, and G. Hoogenboom. 2009. From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change 92(3-4):433-460.

Roncoli, C., P. Kirshen, D.Etkin, M. Sanon, L. Somé, Y. Dembelé, B.J. Sanfo, J. Zougrana, and G. Hoogenboom. 2009. From management to negotiation: Technical and institutional innovations for integrated water resource management in the Upper Comoé River Basin. Environmental Management 44(4):695-711.

Saseendran, S.A., D.C. Nielsen, D.J. Lyon, L.Ma, D.G. Felter, D.D. Baltensperger, G. Hoogenboom, and L.R. Ahuja. 2009. Modeling responses of drylang spring triticale, proso millet and foxtail millet to initial soil water in the High Plains. Field Crops Research 113(1):48-63.

Smith, B.A., G. Hoogenboom, and R.W. McClendon. 2009. Artificial neural networks for automated year-round temperature prediction. Computers and Electronics in Agriculture 68(1):52-61.

Suleiman, A., and G. Hoogenboom. 2009. A comparison of ACSE and FAO-56 reference evapotranspiration for a 15-minute time step in humid climate conditions. Journal of Hydrology 375(3-4):326-333.

Usman, M., A. Ahmad, S. Ahmad, M. Arshad, R. Khaliq, A. Wajid, K. Hussain, W. Nasim, T.M. Chattha, R. Trethowan, and G. Hoogenboom. 2009. Development and application of crop water stress index for scheduling irrigation in cotton (Gossypium hirsutum L.) under semiarid environment. Journal of Food, Agriculture & Environment 7(3-4):386-391.

Yoon, S.T., G. Hoogenboom, I. Flitcroft, and M. Bannayan. 2009. Growth and development of cotton (Gossypium hirsutum L.) in response to CO2 enrichment under two different temperature regimes. Environmental and Experimental Botany 67(1):178-187.

2008

Anothai, J., A. Patanothai, K. Pannangpetch, S. Jogloy, K.J. Boote, and G. Hoogenboom. 2008. Reduction in data collection for determination of cultivar coefficients for breeding applications. Agricultural Systems 96(1-3):195-206.

Anothai, J., A. Patanothai, S. Jogloy, K. Pannangpetch,  K.J. Boote, and G. Hoogenboom. 2008. A sequential approach for determining the cultivar coefficients of peanut lines using end-of-season data of crop performance trials. Field Crops Research 108:169-178.

Bannayan, M., and G. Hoogenboom. 2008. Predicting realizations of daily weather data for climate forecasts using the non-parametric nearest-neighbor re-sampling technique. International Journal of Climatology 28(10):1357-1368.

Bannayan, M., and G. Hoogenboom. 2008. Weather Analogue: A tool for lead time prediction of daily weather data realizations based on a modified k-Nearest Neighbor approach. Environmental Modeling 23(6):703-713.

Ben-Asher, J., A. Garcia y Garcia, and G. Hoogenboom. 2008. Effect of high temperature on photosynthesis and transpiration of sweet corn (Zea mays L. var. rugosa). Photosynthetica.46(4):595-603.

Boken, V.K., G. Hoogenboom, J.H. Williams, B. Diarra, S. Dione, and G.L. Easson. 2008. Monitoring peanut contamination in Mali (Africa) using AVHRR satellite data and a crop simulation model. International Journal of Remote Sensing  29(1):117-129.

Boote, K.J., J.W. Jones, and G. Hoogenboom. 2008. Crop simulation models as tools for agro-advisories for weather and disease effects on production. Journal of Agrometeorology (Indian) 10 Special Issue Part 1:9-17.

Deng, X., B.J. Barnett, G. Hoogenboom, Y. Yu, and  A. Garcia y Garcia. 2008. Alternative crop insurance indices. Journal of Agricultural and Applied Economics 40(1): 223-237

Fang, H., S. Liang, G. Hoogenboom, J. Teasdale and M. Cavigelli. 2008. Corn yield estimation of remotely sensed data into the CSM-CERES-Maize model. International Journal of Remote Sensing 29(10):3011-3032.

Garcia y Garcia. A., L.C. Guerra, and G. Hoogenboom. 2008. Impact of generated solar radiation  on simulated crop growth and yield. Ecological Modeling 210(3):312-326.

Guerra, L.C., G. Hoogenboom, A. Garcia y Garcia, P. Banterng, and J.P. Beasley, Jr. 2008. Determination of cultivar coefficients for the CSM-CROPGRO-Peanut model using variety trial data. Transactions of the American Society of Agricultural and Biological Engineers 51(4):1471-1481.

Lin, S., J.D. Mullen, and G. Hoogenboom. 2008. Farm-level risk management using irrigation and weather derivatives. Journal of Agricultural and Applied Economics 40(2):485-492.

Olatinwo R.O., J.O. Paz, S.L. Brown, R.C. Kemerait, A.K. Culbreath, J.P. Beasley, Jr., and G. Hoogenboom. 2008. A predictive model for spotted wilt epidemics in peanut based on local weather conditions and the tomato spotted wilt virus risk index. Phytopathology 98(10):1066-1074.

Phakamas, N., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2008. Dynamic patterns of components of genotpye x environment interaction for pod yield of peanut over multiple years: a simulation approach. Field Crops Research 106(1):9-21.

Phakamas, N., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2008. Seasonal responses and genotype-by-season interactions for the dynamic growth and development traits of peanut. Journal of Agricultural Science 146:311-323.

Phakamas, N., A. Patanothai, S. Jogloy, K. Pannangpetch, and G. Hoogenboom. 2008. Physiological determinants for pod yield of peanut lines.Crop Science 48(6):2351-2360.

Prabhakaran, T.V., and G. Hoogenboom. 2008. Evaluation of the weather research and forecasting model for two frost events. Computers and Electronics in Agriculture 64:234-247

Putto, W., A. Patanothai, S. Jogloy, and G. Hoogenboom. 2008. Determination of mega-environments for peanut breeding using the CSM-CROPGRO-Peanut model. Crop Science 48(3):973-982.

Shank, D.B., G. Hoogenboom, and R.W. McClendon. 2008. Dew point temperature prediction using artificial neural networks. Journal of Applied Meteorology and Climatology 47(6):1757-1769.

Shank, D.B., R.W. McClendon, J.O. Paz, and G. Hoogenboom. 2008. Ensemble artificial neural networks for prediction of dew point temperature. Applied Artificial Intelligence 22(6):523-542.

Soler, C.M.T., N. Maman, X. Zhang, S.C. Mason and G. Hoogenboom. 2008. Determining optimum planting dates for pearl millet for two contrasting environments using a modeling approach. Journal of Agricultural Science 146(4):445-459.

Suriharn, B., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2008. Yield performance and stability evaluation of peanut breeding lines with the CSM-CROPGRO-Peanut model. Crop Science 48(4):1365-1372.

White, J.W., M. Herndl, L.A. Hunt, T. S. Payne and G. Hoogenboom. 2008. Simulation-based analysis of effects of Vrn and Ppd loci on flowering in wheat. Crop Science 48(2):678-687.

White, J.W., G. Hoogenboom, P.W. Stackhouse and, J. M. Hoell. 2008. Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US. Agricultural and Forest Meteorology 148(10):1574-1584.

Zavareh, M., G. Hoogenboom, H.R. Mashhadi, and A. Arab. 2008. A decimal code to describe the growth stages of sesame (Sesamum orientale L.). International Journal of Plant Production  2(3):193-206.

2007

Bannayan, M., K. Kobayashi,, H.Marashi, and G. Hoogenboom. 2007. Gene-based modeling for rice: An opportunity to enhance the simulation of rice growth and development? Journal of Theoretical Biology 249:593-605.

Boken, V.K., C. E. Haque, and G. Hoogenboom. 2007. Predicting drought  using pattern recognition, Annals of the Arid Zone 46(2):133-144.

Bostick, W.M., V.B. Bado, A. Bationo, C.M.T. Soler, G. Hoogenboom, and J.W. Jones. 2007. Soil carbon dynamics and crop residue yields of cropping systems in the Northern Guinea Savannah of Burkina Faso. Soil and Tillage Research 93(1):138:151.

Gijsman, A.J., P.K. Thornton, and G. Hoogenboom. 2007. Using the WISE database to parameterize soil inputs for crop simulation models. Computers and Electronics in Agriculture 56:85-100.

Guerra, L.C., A. Garcia y Garcia, J.E. Hook, K.A. Harrison, D.L. Thomas, D.E. Stooksbury, and G. Hoogenboom. 2007. Irrigation water use estimates based on crop simulation models and kriging. Agricultural Water Management 89(3):199-207.

Herrero, M., E. Gonzalez-Estrada, P.K. Thornton, C. Quiros, M.M. Waithaka, R. Ruiz, and G. Hoogenboom. 2007. IMPACT- Generic household-level databases and diagnostic tools for integrated crop-livestock analysis. Agricultural Systems 92 (1-3):240-265.

Lizaso, J.I. , K.J. Boote, C.M. Cherr, J.M.S. Scholberg, J.J. Casanova, J. Judge, J.W. Jones, and G. Hoogenboom. 2007. Developing a sweet corn simulation model to predict fresh market yield and quality of ears. American Journal of Horticultural Science 132(2):415-422.

Herrero, M., E. Gonzalez-Estrada, P.K. Thornton, C. Quiros, M.M. Waithaka, R. Ruiz, and G. Hoogenboom. 2007. IMPACT- Generic household-level databases and diagnostic tools for integrated crop-livestock analysis. Agricultural Systems 92 (1-3):240-265.

Lizaso, J.I. , K.J. Boote, C.M. Cherr, J.M.S. Scholberg, J.J. Casanova, J. Judge, J.W. Jones, and G. Hoogenboom. 2007. Developing a sweet corn simulation model to predict fresh market yield and quality of ears. American Journal of Horticultural Science 132(2):415-422.

Paz, J.O., C.W. Fraisse, L.U. Hatch, A. Garcia y Garcia, L.C. Guerra, O. Uryasev, J.G. Bellow, J.W. Jones, and G. Hoogenboom. 2007. Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US. Computers and Electronics in Agriculture 55(1):28-35..

Pathak, T.B., C.W. Fraisse,  J.W. Jones, C.D. Messina, and G. Hoogenboom. 2007. Use of global sensitivity analysis for CROPGRO cotton model development. Transactions of the American Society of Agricultural Engineers 50(6):2295-2302.

Saseendran, S.A., L. Ma, R. Malone, P. Heilman, L. R. Ahuja, R. S. Kanwar , D. L. Karlen, and G. Hoogenboom. 2007. Simulating management effects on crop production, tile drainage, and water quality using RZWQM-DSSAT. Geoderma 140:297-309.

Soler, C.M.T., G. Hoogenboom, P.C. Sentelhas, and A.P. Duarte. 2007. Growth analysis of maize grown off-season in a subtropical environment under rainfed and irrigated conditions. Journal of Agronomy and Crop Science 193(4):247-261.

Soler, C.M.T., P.C. Sentelhas, and G. Hoogenboom. 2007 Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment. European Journal of Agronomy 27(2-4):165-177.

Soltani, A., and G. Hoogenboom. 2007. Assessing crop management options with crop simulation models based on generated weather data. Field Crops Research 103:198-207

Suleiman, A.A., and G. Hoogenboom. 2007. Comparison of Priestley-Taylor and Penman-Monteith for daily reference evapotranspiration estimation in Georgia. Journal of Irrigation and Drainage Engineering 133(2):175-182.

Suleiman, A..A., C.M.T. Soler, and G. Hoogenboom. 2007. Evaluation of FAO-56 crop coefficient procedures for deficit irrigation management of cotton in a humid climate. Agricultural Water Management 91(1-3):33-42.

Suriharn, B., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2007. Determination of cultivar coefficients of peanut lines for breeding applications of the CSM-CROPGRO-Peanut model. Crop Science 47(2):607-619.

White, J.W., K.J. Boote, G. Hoogenboom, and P.G. Jones. 2007. Regression-based evaluation of ecophysiological models. Agronomy Journal 99(2):419-427.

2006

Abrahamson, D.A., D.E. Radcliffe, J.L. Steiner, M.L. Cabrera, D.M. Endale, and G. Hoogenboom. 2006. Evaluation of the RZWQM for simulating tile drainage and leached nitrate in the Georgia Piedmont. Agronomy Journal 98(3):644-654.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2006. Yield stability evaluation of peanut lines: a comparison of an experimental versus a simulation approach. Field Crops Research 96(1):168-175.

Dangthaisong, P., P. Banterng, S. Jogloy, N. Vorasoot, A. Patanothai, and G. Hoogenboom. 2006. Evaluation of the CSM-CROPGRO-Peanut model in simulating responses of two peanut cultivars to different moisture regimes. Asian Journal of Plant Sciences 5(6):913-922.

Fraisse, C.W., N.E. Breuer, D.Zierden, J.G. Bellow, J. Paz, V.E. Cabrera, A. Garcia y Garcia, K.T. Ingram, U. Hatch, G. Hoogenboom, J.W. Jones, and J.J. O’Brien. 2006. AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA. Computers and Electronics in Agriculture 53(1):13-27.

Garcia y Garcia, A., G. Hoogenboom, L.C. Guerra, J.O. Paz, and C.W. Fraisse. 2006. Analysis of the interannual variation of peanut yield in Georgia using a dynamic crop simulation model. Transactions of the American Society of Agricultural and Biological Engineers 49(6):2005-2015.

Greenwald, R., M.H. Bergin, J. Xu, D. Cohan, G. Hoogenboom, and W.L. Chameides. 2006. The influence of aerosols on crop production: A study using the CERES model. Agricultural Systems 89(2-3):390-413.

Heinemann, A.B., A.de H.N. Maia, D. Dourado_Neto, K.T. Ingram, and  G. Hoogenboom. 2006. Soybean (Glycine Max [L.] Merr.) growth and development response to CO2 enrichment under different temperature regimes. European Journal of Agronomy 24(1):52-61.

Jain, A., R.W. McClendon, and G. Hoogenboom. 2006. Freeze prediction for specific locations using artificial neural networks. Transactions of the American Society of Agricultural and Biological Engineers 49(6):1955-1962.

Ma, L., G. Hoogenboom, L. R. Ahuja, J.C. Ascough, and S.A. Saseendran. 2006. Development and evaluation of the RZWQM-CERES-Maize hybrid model for maize production. Agricultural Systems 87(3):274-295.

Smith, B.A., R.W. McClendon, and G. Hoogenboom. 2006. Improving air temperature prediction with artificial neural networks. International Journal of Computational Intelligence 3(3):179-186.

Zavareh, M., H.R. Mashhadi, G. Hoogenboom, R.T. Afshari, M.N. Mahallati, and F. Sharifzadeh. 2006. Dry matter partitioning to sesame (Sesamum indicum L.) roots in response to temperature and elevated CO2. Iranian Journal of Agricultural Sciences 37(1):16.

2005

Abrahamson, D.A., D.E. Radcliffe, J.L. Steiner, M.L. Cabrera, J.D. Hanson, K.W. Rojas, H.H. Schomberg, D.S. Fisher, L. Schwartz, and G. Hoogenboom. 2005. Calibration of the Root Zone Water Quality Model for simulating tile drainage and leached nitrate in the Georgia Piedmont. Agronomy Journal 96(6):1584-1602.

Garcia y Garcia, A., and G. Hoogenboom. 2005. Evaluation of an improved daily solar radiation generator for the southeastern USA. Climate Research 29:91-102.

Guerra, L.C., G. Hoogenboom, J.E. Hook, D.L. Thomas, V.K. Boken, and K.A. Harrison. 2005. Evaluation of the model EPIC for simulating on-farm irrigation applications. Irrigation Science 23:171-181.

Ma, L.,G. Hoogenboom, L.R. Ahuja, D.C. Nielsen, and J.C. Ascough II. 2005. Evaluation of the RZWQM-CROPGRO Hybrid model for soybean production. Agronomy Journal 97(4):1172-1182.

Mullen, J.D., C. Escalante, G. Hoogenboom, and Y. Yu. 2005. Determinants of irrigation farmers’ crop choice and acreage allocation decisions: Opportunities for extension delivery service. Journal of Extension [on-line] 43(5). Available at http://www.joe.org/joe/2005october/rb3.shtml.

Nelson, B.R., W.F. Krajewski, J.A. Smith, E. Habib, and G. Hoogenboom. 2005. Archival precipitation data set for the Mississippi river basin: evaluation. Geophysical Research Letters 32: L19403,doi:10.1029/2005GL023334.

Nunez-Barrios, A., G. Hoogenboom, and S. NeSmith. 2005. Drought stress and the distribution of vegetative and reproductive traits of a bean cultivar. Scientia Agricola 62(1):18-22.

Soler, C.M.T., P. C. Sentelhas, and G. Hoogenboom. 2005. Thermal time for phenological development of four maize hybrids (Zea mays L.) grown off-season in a subtropical environment. Journal of Agricultural Science 143:169-182.

White, J.W., and G. Hoogenboom. 2005. Integrated viewing and analysis of phenotypic, genotypic, and environmental data with “GenPhEn arrays.” European Journal of Agronomy 23:170-182.

White, J.W, G. Hoogenboom, and L.A. Hunt. 2005. A structured procedure for assessing how crop models respond to temperature. Agronomy Journal 96(2):426-439.

2004

Ashish, D., G. Hoogenboom, and R.W. McClendon. 2004. Land-use classification of gray-scale aerial images using  probabilistic neural networks. Transactions of the ASAE. 47(5):1813-1819.

Bannayan, M., G. Hoogenboom, and N.M.J. Crout. 2004. Photothermal impact on maize performance: a simulation approach. Ecological Modeling 180(2-3):277-290.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2004. Determination of genetic coefficients of peanut lines for breeding applications. European Journal of Agronomy 21(3):297-310.

Boken, V.K, G. Hoogenboom, J.E. Hook, D.L. Thomas, L.C. Guerra, and K.A. Harrison. 2004. Agricultural water use estimation using geospatial modeling and a geographic information system. Agricultural Water Management 67(3):185-199.

Boken, V.K., G. Hoogenboom, F.N. Kogan, J.E. Hook, D.L. Thomas, and K.A. Harrison. 2004. Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute. International Journal of Remote Sensing 24(2):2277-2286.

Bostick, W.M., J. Koo, V.K. Walen, J.W. Jones, and G. Hoogenboom. 2004. A web-based data exchange system for crop model applications. Agronomy Journal 96(3):853-856.

Grant, R.H., S.E. Hollinger, K.G. Hubbard, G. Hoogenboom, and R.L. Vanderlip. 2004. Ability to predict daily solar radiation values for use in crop simulation models. Agricultural and Forest Meteorology 127(1-2):65-75.

Guerra, L.C., G. Hoogenboom, V.K. Boken, J.E. Hook, D.L. Thomas, and K.A. Harrison. 2004. Evaluation of the model EPIC for simulating crop yield and irrigation demand. Transactions of the American Soceity of Agricultural Engineers 47(6):2091-2100.

Hoogenboom, G., J.W. White, and C.D. Messina. 2004. From genome to crop: Integration through simulation modeling. Field Crops Research 90(1):145-163.

Li, B., R.W. McClendon and G. Hoogenboom. 2004. Spatial interpolation of weather variables for single locations using artificial neural networks. Transactions of the American Society of Agricultural Engineers 42(2):629-637.

McVay, K.A, D.E. Radcliffe, M.L. Cabrera and G. Hoogenboom. 2004. Water balance of a dairy loafing lot using geotextile and its impact on water quality. Journal of Soil and Water Conservation 59(4):142-148

2003

Bannayan, M., N.M.J. Crout, and G. Hoogenboom. 2003. Applying the CERES-Wheat model for real-time forecasting of winter wheat. Agronomy Journal 95(1):114-125.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2003. Seasonal variation in the dynamic growth and development traits of peanut lines. Journal of Agricultural Science 141(1):51-62.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2003. Applicability of the CROPGRO-Peanut model in assisting multi-location evaluation of peanut breeding lines. Thai Journal of Agricultural Science 37(7):407-418.

Hartkamp, A.D., J.W. White, and G. Hoogenboom. 2003. Comparison of three weather generators for crop modeling: a case study for subtropical environments. Agricultural Systems 76(2):539-560.

Hoogenboom, G., and J.W. White. 2003. Improving physiological assumptions of simulation models by using gene-based approaches. Agronomy Journal 95(1):82-89.

Ingram, K.T., B.C. Ahohuendo, B. Diarra, and G. Hoogenboom. 2003. Aspergillus flavus infection and aflatoxin contamination of peanut. New tools for research on Aspergillus flavus infection and aflatoxin contamination of peanut. Annales  des Sciences Agronomiques 4(2):105-119.

Irmak, S., A. Irmak, J.W. Jones, T.A. Howell, J.M. Jacobs, R.G. Allen, and G. Hoogenboom. 2003. Predicting daily net radiation using minimum climatological data. Journal of Irrigation and Drainage Engineering 129(4):256-269.

Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt,  P.W. Wilkens, U. Singh, A.J. Gijsman, and J.T. Ritchie. 2003. DSSAT Cropping System Model. European Journal of Agronomy 18:235-265.

Nijbroek, R., G. Hoogenboom, and J.W. Jones. 2003. Optimal irrigation strategy for a spatially variable soybean field: a modeling approach. Agricultural Systems 76(1):359-377.

Soltani, A., and G. Hoogenboom. 2003. A statistical comparison of the stochastic weather generators WGEN and SIMMETEO for climate conditions in Iran. Climate Research 24(3):215-230.

Soltani, A., and G. Hoogenboom. 2003. Minimum data requirements for parameter estimation of the stochastic weather generators WGEN and SIMMETEO. Climate Research 25(2):109-119.

White, J.W., and G. Hoogenboom. 2003. Gene-based approaches to crop simulation: past experiences and future opportunities. Agronomy Journal 95(1):52-64.

2002

Chojnicki, B.H., and G. Hoogenboom. 2002. Automated meteorological network as a source of agrometeorological information. Acta Agrophysica 60:39-44.

Gijsman, A.J., G. Hoogenboom, W.J. Parton, and P.C. Kerridge. 2002. Modifying the DSSAT crop models for low-input agricultural systems, using a SOM/residue module from CENTURY. Agronomy Journal 94:462-474.

Hartkamp, A.D., G. Hoogenboom, and J.W. White. 2002. Adaptation of the CROPGRO growth model to velvet bean as a green manure cover crop: I. Model development. Field Crops Research 78(1):9-25.

Hartkamp, A.D., G. Hoogenboom, R. Gilbert, T. Benson, S.A. Tarawali, A. Gijsman, W. Bowen, and J.W. White. 2002. Adaptation of the CROPGRO growth model to velvet bean as a green manure cover crop: II. Model evaluation and testing. Field Crops Research 78(1):27-40.

Heinemann, A.B., G. Hoogenboom, and B. Chojnicki. 2002. The impact of potential errors in rainfall observation on the simulation of crop growth, development, and yield. Ecological Modeling 157(1):1-21.

Heinemann, A.B., G. Hoogenboom, and R.T. de Faria. 2002. Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana. Agricultural Water Management 52(3):177-196.

Mavromatis, T., K.J. Boote, J.W. Jones, G.G. Wilkerson, and G. Hoogenboom. 2002. Repeatability of model genetic coefficients derived from soybean performance trails across different states. Crop Science 42(1)76-89.

Nielsen, D.C., L. Ma, L.R. Ahuja, and G. Hoogenboom. 2002. Simulating soybean water stress effects with RZWQM and CROPGRO models. Agronomy Journal.94(6):1234-1243.

2001

Alexandrov, V.A., and G. Hoogenboom. 2001. Climate variation and crop production in Georgia, USA, during the 20th century. Climate Research 17(1):33-43.

Chojnicki, B.H., and G. Hoogenboom. 2000/2001. The structure and operation of automated agrometeorological weather station network - Georgia Automated Environmental Monitoring Network. Annales Universitatis Mariae Curie-Sklodowska, Sectio B LV/LVI(13):113-118.

Hunt, L.A., J.W. White, and G. Hoogenboom. 2001. Agronomic data: Advances in documentation  and protocols for exchange and use. Agricultural Systems 70:477-492.

Mavromatis, T., K.J. Boote, J.W. Jones, A. Irmak, D. Shinde, and G. Hoogenboom. 2001. Developing genetic coefficients for crop simulation models with data from crop performance trials. Crop Science 41(1):40-51.

Sentelhas, P.C., R. T. de Faria, M.O. Chaves, and G. Hoogenboom. 2001. Evaluation of the  WGEN and SIMMETEO generators for the brazilian tropics and subtropics, using crop simulation models. Revista Brasileira de Agrometeorologia 9(2):357-376.

2000

Alagarswamy, G., P. Singh, G. Hoogenboom, S.P. Wani, P. Pathak, and S.M. Virmani. 2000. Evaluation and application of the CROPGRO-Soybean simulation model in Vertic Inceptisols of Peninsular India. Agricultural Systems 63(1):19-32.

Alexandrov, V.A., and G. Hoogenboom. 2000. The impact of climate variability and change on major crops in Bulgaria. Agricultural and Forest Meteorology 104(4):315-327.

Alexandrov, V.A., and G. Hoogenboom. 2000. Vulnerability and adaptation assessments of agricultural crops under climate change in the Southeastern USA. Theoretical and Applied Climatology 67:45-63.

Bruton, J.M., G. Hoogenboom, and R. W. McClendon. 2000. A comparison of automatically and manually collected pan evaporation data. Transactions of the ASAE 43(5):1097-1101.

Bruton, J.M., R. W. McClendon, and G. Hoogenboom. 2000. Estimating pan evaporation with artificial neural networks. Transactions of the ASAE 43(2):491-496.

Heinemann, A.B.,  G. Hoogenboom, G.A. Georgiev, R.T. de Faria and J.A. Frizzone. 2000. Center pivot irrigation management optimization of dry beans in humid areas. Transactions of the ASAE. 43(6):1507-1516.

Henderson, C.E., W.D. Potter, R.W. McClendon, and G. Hoogenboom. 2000. Predicting aflatoxin contamination in peanuts: A genetic algorithm/neural network approach. International Journal of Applied Intelligence 12(3):183-192.

Hoogenboom, G. 2000. Contribution of agrometeorology to the simulation of crop production and its applications. Agricultural and Forest Meteorology 103(1-2):137-157.

Liu, L., G. Hoogenboom, and K.T. Ingram. 2000. Controlled-environment sunlit plant growth chambers. Critical Reviews in Plant Sciences 19(4):347-375.

Ravagnolo, O., I. Misztal, and G. Hoogenboom. 2000. Genetic component of heat stress in dairy cattle. 2. Development of Heat Index. Journal of Dairy Science 83(9):2120-2125.

1999

Georgiev, G.A., and G. Hoogenboom. 1999. Near real-time agricultural simulations on the web. Simulation 73(1):22-28.

Hartkamp, A.D., J.W. White, and G. Hoogenboom. 1999. Interfacing geographic information systems with agronomic modeling: A review. Agronomy Journal 91(5):762-772.

Hoogenboom, G. 1999. Modeling root growth and impact on plant development. Acta Horticulturae 507:241-251.

Singh, P., G. Alagarswamy, P. Pathak, S.P. Wani, G. Hoogenboom, and S.M. Virmani. 1999. Soybean-chickpea rotation on Vertic Inceptisols: 1. Effect of soil depth and landform on light interception, water balance and crop yields. Field Crops Research 63(3):211-224.

1998

Belay, S., C. Wortman, and G. Hoogenboom. 1998. .Haricot bean agroecology in Ethiopia: Defining using agroclimatic and crop growth models. African  Crop Science Journal 6(1):9-18.

1997

Engel, T., G. Hoogenboom, J. W. Jones, and P. W. Wilkens. 1997. AEGIS/WIN - A  computer program for the application of crop simulation models across geographic areas. Agronomy Journal 89(6):919-928.

Hoogenboom, G., J. W. White, J. Acosta-Gallegos, R. G. Gaudiel, J. R. Myers, and M. J. Silbernagel. 1997. Evaluation of a crop simulation model that incorporates gene action. Agronomy Journal 89(4):613-620.

Parmar, R. S., R. W. McClendon, G. Hoogenboom, P.D. Blankenship, R. J. Cole, and J. W. Dorner. 1997. Estimation of aflatoxin contamination in preharvest peanuts using neural networks. Transactions of the ASAE 40(3):809-813.

1996

McClendon, R. W., G. Hoogenboom, and I. Seginer. 1996. Optimal control and neural networks applied to peanut irrigation management. Transactions of the ASAE 39(1):275-279.

White, J. W., and G. Hoogenboom. 1996. Simulating effects of genes for physiological traits in a process-oriented crop model. Agronomy Journal 88(3):416-422.

1995

Thornton, P. K., G. Hoogenboom, P. W. Wilkens, and W. T. Bowen. 1995. A computer program to analyze multiple-season crop model outputs. Agronomy Journal 87(1):131-136.

White, J. W., G. Hoogenboom, J. W. Jones, and K. J. Boote. 1995. Evaluation of the dry bean model BEANGRO V1.01 for crop production research in a tropical environment. Experimental Agriculture 31:241-254.

1994

Anisko, T., O. M. Lindstrom, and G. Hoogenboom. 1994. Development of a cold hardiness model for deciduous woody plants. Physiologia Plantarum 91:375-382.

Batchelor, W. D., J. W. Jones, K. J. Boote, and G. Hoogenboom. 1994. Carbon-based model to predict peanut pod detachment. Transactions of the ASAE 37(5):1639-1646.

Beverly, R. B., G. Hoogenboom, L. M. Shuman, and E. W. Tollner. 1994. Mapping and cumulative distribution function (CDF) as alternative methods to address variability in soil test results. Communications in Soil Science and Plant Analysis 25(7-8):1057-1070.

Elizondo, D. A., G. Hoogenboom, and R. W. McClendon. 1994. Development of a neural network model to predict daily solar radiation. Agricultural and Forest Meteorology 71(1-2):115-132.

Elizondo, D. A., R. W. McClendon, and G. Hoogenboom. 1994. Neural network models for predicting flowering and physiological maturity of soybean. Transactions of the ASAE 37(3):981-988.

Hoogenboom, G., J. W. White, J. W. Jones, K. J. Boote. 1994. BEANGRO, a process oriented dry bean model with a versatile user interface. Agronomy Journal 86(1):182-190.

NeSmith, D. S., and G. Hoogenboom. 1994. Variation in the onset of flowering of summer squash as a function of days and heat units. Journal of the American Society of Horticultural Science 119(2):249-252.

NeSmith, D. S., G. Hoogenboom, D. W. Groff. 1994. Staminate and pistillate flower production of summer squash in response to planting date. HortScience 29(4):256-257.

NeSmith, D. S., G. Hoogenboom, and D. V. McCracken. 1994. Summer squash production using conservation tillage. HortScience 29(1):28-30.

Roberts, J. J., G. Hoogenboom, and P. B. Ford. 1994. Utilization of research findings and databases for serendipitous technology transfer. Computers and Electronics in Agriculture 10(1):75-82.

Thornton, P. K., and G. Hoogenboom. 1994. A computer program to analyze single-season crop model outputs. Agronomy Journal 86(5):860-868.

1993

Hoogenboom, G. 1993. The Georgia Automated Environmental Monitoring Network. Southeastern Climate Review 4(1):12-18.

Hunt, L. A., S. Pararajasingham, J. W. Jones, G. Hoogenboom, D. T. Imamura, and R. M. Ogoshi. 1993. GENCALC - Software to facilitate the use of crop models for analyzing field experiments. Agronomy Journal 85(5):1090-1094.

Lal, H., G. Hoogenboom, J.-P. Calixte, J. W. Jones, and F. H. Beinroth. 1993. Using crop simulation models and GIS for regional productivity analysis. Transactions of the ASAE 36(1):175-184.

1992

Hoogenboom, G. J. W. Jones, and K. J. Boote. 1992. Modeling growth, development and yield of grain legumes using SOYGRO, PNUTGRO, and BEANGRO : A Review. Transactions of the ASAE 35(6):2043-2056.

1988

Blake, J. I., and G. Hoogenboom. 1988. A dynamic simulation of Loblolly Pine (Pinus taeda L.) seedling establishment based upon carbon and water balances. Canadian Journal of Forest Research 18:833-850.

Hoogenboom, G., M. G. Huck, and C. M. Peterson. 1988. Predicting root growth and water uptake under different soil water regimes. Agricultural Systems 26(4):263-290.

Hoogenboom, G., M. G. Huck, C. M. Peterson, and A. Goli. 1988. Automated micro-analysis for starch and sucrose in single soybean leaflets. Journal of the Association of Official Analytical Chemists 71(4):844-848.

1987

Hoogenboom, G., M. G. Huck, and C. M. Peterson. 1987. Root growth rates of soybean as affected by drought stress. Agronomy Journal 79:607-614.

Hoogenboom, G., C. M. Peterson, and M. G. Huck. 1987. Shoot growth rates of soybean as affected by drought stress. Agronomy Journal 79:598-607.

1986

Hoogenboom, G., M. G. Huck, and C. M. Peterson. 1986. Measured and simulated drought stress effects on daily shoot and root growth rates of soybean. Netherlands Journal of Agricultural Science 34:497-500.

Huck, M. G., C. M. Peterson, G. Hoogenboom, and C. D. Busch. 1986. Distribution of dry matter between shoots and roots of irrigated and nonirrigated soybeans. Agronomy Journal 78:807-813.