NC1018: Impact of Climate and Soils on Crop Selection and Management (NC094 Renewal)
(Multistate Research Project)
Status: Inactive/Terminating
SAES-422 Reports
11/15/2006
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.
Colunga-Garcia M., P.R. Grace, S.H. Gage, G.P. Robertson, G.R. Safir. 2005. Urbanization and its Impact on the Carbon Sequestration Potential of Agroecosystems in the North Central Region. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
Gage, S.H., M. Colunga-Garcia, P.R. Grace, H. Yang, G.R. Safir, G.P. Robertson, A. Shortridge, A Prasla, A. Ali, S. Del Grosso, P. Wilkins, S. Rowshan. 2005. A Modeling Application Integrative Framework for Regional Simulation of Crop Productivity, Carbon Sequestration and Greenhouse Gas Emissions. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
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.
Grace, P.R., S.H. Gage, M. Colunga-Garcia, G.P. Robertson, G.R. Safir. 2005. Maximizing Net Carbon Sequestration in Agroecosystems of the North Central Region. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
Grant, R.H. and J.R. Slusser. 2005. Estimation of ultraviolet-A irradiance from measurements of 368-nm spectral irradiance. J. Atmos. & Ocean. Technology 22: 2853-2863.
Grant, R.H. and J.R. Slusser. 2005. The measurement and modeling of broadband UV-A irradiance. In: G. Bernhard, J.R. Slusser, J.R. Herman and W. Gao, Eds., Symposium on UV Ground- and Space-based Measurements, Model, and Effects V, Proceedings of SPIE Vol. 5886.
Green, M., Wang, D., Murphy, M., and J. Almendinger. 2005. Sensitivity of simulated stream water N and P concentrations and N:P ratios to precipitation regimes in a central Minnesota watershed. Eos Trans. AGU, 86(52), Fall Meet. Suppl., Abstract H31B-1302, 2005 AGU winter meeting, San Francisco, CA.
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.
Gunal, H., and M.D. Ransom. In press. Genesis and micromorphology of loess-derived soils from central Kansas. Catena.
Gunal, H., and M.D. Ransom. 2005. Clay mineralogy, specific surface area and micromorphology of polygenetic soils from eastern Kansas. Archives of Agronomy and Soil Science 51:459-468.
Hoogenboom, G. 2005. Plant/soil interface and climate change: carbon sequestration from the production perspective. In: [J.S. Bhatti, R. Lal, M. Apps and M. Price, editors] Climate Change and Managed Ecosystems. CRC Press. (In Press).
Hosamane. S., 2005. Using National Weather Service forecasts and model output statistics (MOS) to forecast evapotranspiration. Masters Thesis. South Dakota State University. 120pp.
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.
Olson, K.R., T.E. Fenton, N.E. Smeck, R.D. Hammer, M.D. Ransom, C.W. Zanner, R. McLeese, and M.T. Sucik. 2005. Identification, mapping, classification, and interpretation of eroded Mollisols in the U.S. Midwest. Soil Survey Horizons 46:23-35.
Olson, K.R., T.E. Fenton, N.E. Smeck, R.D. Hammer, M.D. Ransom, C.W. Zanner, R. McLeese, and M.T. Sucik. 2005. Proposed modifications of mollic epipedon thickness criteria for eroded conditions and potential impacts on existing soil classifications. Soil Survey Horizons 46:39-47.
Seem, R.C. 2004. Forecasting Plant Disease in a Changing Climate: A Question of Scale. Can. J. Plant Pathol. 26:274-283.
Staggenborg, S.A., and R.L. Vanderlip. 2005. Crop Simulation Models Can be Used as Dryland Cropping Systems Research Tools. Agron. J. In Press.
Todey, D.P. and C. Shukla, 2005. Climate factors impacting productivity and yield trends in the Midwest. 15th Annual Conference on Applied Climatology. Savanna, GA. American Meteorological Society.
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.
01/08/2007
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.
Bostick, W.M., V.B. Bado, A. Bationo, C. Tojo Soler, G. Hoogenboom and J.W. Jones. 2006. Soil carbon dynamics and crop residue yields of cropping systems in the Northern Guinea Savannah of Burkina Faso. Soil and Tillage Research. (In Press).
Colunga-Garcia M, S Gage, and G Safir. 2005. Development and integration of temporal/spatial information into plant pest and disease forecasting systems. Survey Detection & Identification & Biological Control National Science Program/Center for Plant Health Science & Technology Annual Report 2004. p. 9-12.
Colunga-Garcia M., P.R. Grace, S.H. Gage, G.P. Robertson, G.R. Safir. Urbanization and its Impact on the Carbon Sequestration Potential of Agroecosystems in the North Central Region. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
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 JJ. 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.
Gage, S.H., M. Colunga-Garcia, P.R. Grace, H. Yang, G.R. Safir, G.P. Robertson, A. Shortridge, A. Prasla, A. Ali, S. Del Grosso, P. Wilkins, S. Rowshan. A Modeling Application Integrative Framework for Regional Simulation of Crop Productivity, Carbon Sequestration and Greenhouse Gas Emissions. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
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 Engineers. (In Press).
Grace, P.R., M. Colunga-Garcia, S.H. Gage, G.R. Safir, G.P. Robertson. 2005. The potential impact of climate change on North Central Regions soil organic carbon resources. Ecosystems.
Grace, P.R., S.H. Gage, M. Colunga-Garcia, G.P. Robertson, G.R. Safir. Maximizing Net Carbon Sequestration in Agroecosystems of the North Central Region. Third USDA Symposium on Greenhouse Gases & Carbon Sequestration in Agriculture and Forestry, March 21 - 24, 2005, Baltimore, MD.
Grant, R.H. and W. Gao. 2006. Distribution of diffuse UV-B radiation in a maize canopy. 17th Conf. on Biometeorol. and Aerobiology, Amer. Meteorol. Soc.
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.
Gunal, H., and M.D. Ransom. 2006. Genesis and micromorphology of loess-derived soils from central Kansas. Catena 65:222-236.
Gunal, H., and M.D. Ransom. 2006. Clay illuviation and calcium carbonate accumulation along a precipitation gradient in Kansas. Catena 68:59-69.
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.
Heisler, G., B. Tao, J. Walton, R. Grant, R. Pouyat, I. Yesilonis, D. Nowak, and K. Belt 2006. Land cover influences on below-canopy temperatures in and near Baltimore, MD., In: Proceedings of the 6th Symposium on the Urban Environment, American Meteorological Soc. (In press).
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.
Isard, S. A., Gage, S.H., Comtois, P. and Russo, J. 2005. Principles of the atmospheric pathway for Invasive species applied to soybean rust. BioScience: 851-861.
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 Engineers. (In Press).
Kim, K.R., Seem. R.C., Park. E.W., Zack, J.W., and Magarey, R.D. 2005 Simulation of grape downy mildew across geographic areas based on mesoscale weather data using supercomputer. Plant Pathol. J. 21:111-118.
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.
Magarey, R.D., Russo, J.M., Seem, R.C., and Gadoury, D.M. 2005. Surface wetness duration under controlled environmental conditions. Ag. For. Meterol. 128:111-122.
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. 2006. Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US. Computers and Electronics in Agriculture. (In Press).
Schmitz, H. and R.H. Grant 2006. Precipitation and dew in soybean canopies: An In depth look at the differences in wetness with canopy height.. 17th Conf. on Biometeorol. and Aerobiology, Amer. Meteorol. Soc.
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.
Suleiman, A., and G. Hoogenboom. 2007. Comparison of Priestley-Taylor and Penman-Monteith for daily reference evapotranspiration estimation in a humid climate. Journal of Irrigation and Drainage Engineering. (In Press).
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. (Accepted for publication).
White, J.W., K.J. Boote, G. Hoogenboom and P.G. Jones. 2007. Regression-based evaluation of ecophysiological models. Agronomy Journal 99(2). (In Press).
04/22/2008
09/26/2008
Alfieri J G, D. Niyogi, M. A. LeMone, F. Chen, S. Fall, 2007, A Simple Reclassification Method for Correcting Uncertainty in Land Use/Land Cover Datasets Used with Land Surface Models, Pure and Applied Geophysics (Invited), 164, 1789 - 1809. DOI 10.1007/a00024-007-0241-4.
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.
Ashish, D., G. Hoogenboom, and R.W. McClendon. 2008. Land-use classification of mutispectral aerial images using artificial neural networks. International Journal of Remote Sensing. (Accepted for publication).
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.
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. (Accepted for publication).
Boken, V.K., C. E. Haque, and G. Hoogenboom. 2007. Predicting drought using pattern recognition, Annals of the Arid Zone 46(2):133-144.
Chen F., K. W. Manning, M. A. LeMone, S.B. Trier, J. G. Alfieri, R. Roberts, M. Tewari, D. Niyogi, T. W. Horst, S. P. Oncley, J. B. Basara, P. D. Blanken, 2007, Description and Evaluation of the Characteristics of the NCAR High-Resolution Land Data Assimilation System, Journal of Applied Meteorology and Climatology, 46, 694-713, DOI: 10.1175/JAM2463.1
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.
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.
Hartley, Paul, DeAnn Presley, and Michel D. Ransom. 2007. Mineralogy of polygenetic soils from the Bluestem Hills of East-Central Kansas, USA. In Annual Meetings Abstracts [CD-ROM]. ASA, CSSA, and SSSA, Madison, WI.
Karlstrom, E.T., Oviatt, C.G., and. Ransom, M.D. 2007. Paleoenvironmental interpretation of multiple soil-loess sequence at Milford Reservoir, northeastern Kansas. Catena 72:113-128.
Lin, S., J.D. Mullen, and G. Hoogenboom. 2008. Farm-level risk management using irrigation and weather derivatives. Journal of Agricultural and Applied Economics. (Accepted for publication).
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.
Olatinwo R.O., J.O. Paz, S.L. Brown, R.C. Kemerait, A.K. Culbreath, J.P. Beasley, Jr., and G. Hoogenboom. 2008. Predicting spotted wilt severity in peanut based on local weather conditions and the tomato spotted wilt virus risk index. Phytopathology. (Accepted for publication).
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.
Prabhakaran, T., and G. Hoogenboom. 2008. Evaluation of the weather research and forecasting model for two frost events. Computers and Electronics in Agriculture. (In Press).
Presley, DeAnn, Michel D. Ransom, and Paul Hartley. 2007. Mineralogy and stratigraphy of polygenetic soils on different geomorphic surfaces of the Bluestem Hills of East-Central Kansas. In Annual Meetings Abstracts [CD-ROM]. ASA, CSSA, and SSSA, Madison, WI.
Presley, DeAnn Ricks. 2007. Ph. D. Dissertation. Genesis and spatial distribution of upland soils in east central Kansas. Kansas State Univ.
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.
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(7). (Accepted for publication).
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
Staggenborg, S.A., W.B. Gordon, K.C. Dhuyvetter. 2007. Grain sorghum and corn comparisons: Yield, economic and environmental responses. Agron. J. (accepted).
Staggenborg, S.A., M. Carignano, and L. Haag. 2007. Predicting soil pH and buffer pH with a real-time sensor. Agron. J. 99:854-861.
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. Tojo 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.
Tojo Soler, C.M., 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.
Tojo Soler, C.M., 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. (In Press).
White, J.W., G. Hoogenboom, P.W. Stackhouse and, J. M. Hoell. 2008. Evaluation of daily temperature data for the continental US modeled from satellite data. Agricultural and Forest Meteorology. (In Press).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.
08/10/2009
Publications
Akyüz, F. A., T. Scherer, D. Morlock, 2008: Automated Irrigation Scheduling Application of the North Dakota Agricultural Weather Network. International Conference on Soil Fertility, Land Management, and Agroclimatology. Preceedings, p 3. Kusadasi, Turkey. October 29-November 1, 2008.
Akyüz, F. A., B. Mullens, D. Morlock, 2008: Agricultural Application of the North Dakota Agricultural Weather Network. International Conference on Soil Fertility, Land Management, and Agroclimatology. Preceedings, p 104. Kusadasi, Turkey. October 29-November 1, 2008.
Akyuz, F. A, M. Ewens, R. Carcoana, and B. Mullins : 2007. NWS frost depth observation with liquid-in probes performance: Two-year review. Journal of Service Climatology. In-review, 2007.
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.
Baumhardt, R.L., S.A. Staggenborg, P.H. Gowda, P.D. Colaizzi, and T.A. Howell. 2009. Modeling Irrigation Management Strategies to Maximize Cotton Lint Yield and Water Use Efficiency. Agron. J. 101:460-468.
Berkheimer, S.F., J.K. Potter, J.A. Andresen, and E.J. Hanson, 2007. Flower Bud Mortality and Salt Levels in Blueberry Fields Adjacent to Michigan Highways Treated with Deicing Salt. HortTechnology 16: 508 512.
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.
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.
Evert, S, S.A. Staggenborg, B,L.S. Olson. 2009. Soil Temperature and Planting Depth Effects on Tef Emergence. J Agron. And Crop Sci. 195:232-236.
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.
Getter, K.L., D.B. Rowe, and J.A. Andresen. 2007. Quantifying the effect of slope on extensive green roof stormwater retention. Ecological Engineering 31:225-231.
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.
Isard, S.A., R.J. Schaetzl, and J.A. Andresen, 2007. Soils Cool as Climate Warms in the Great Lakes Region, USA: 1951-2000. Annals Assoc. Am. Geographers 97:467-476.
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.
Presley, D.R., P.E. Hartley, and M.D. Ransom. In press. Mineralogy and morphological properties of buried polygenetic paleosols formed in Late Quaternary sediments on upland landscapes of the Central Plains, USA. Geoderma.
Schmitz, Hans F. 2008. Physical Processes of Soybean Rust, M.S. Thesis, Purdue University, May, 2008. Major Professor: Richard H. Grant.
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.
Staggenborg, S.A., K.C. Dhuyvetter, W.B. Gordon. 2008. Grain Sorghum and Corn Comparisons: Yield, Economic, and Environmental Responses. Agron. J. 100. 1600-1604.
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.
Willson, G. D., F. A. Akyuz: 2007. Survival of the western prairie fringed orchid at Pipestone National Monument. The 21st North American Prairie Conference. August 4-8, 2008. Winona, MN.
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.