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Evaluation of the RZWQM-CERES-Maize hybrid model for maize production

Ma, L.; Hoogenboom, G.; Ahuja, L.R.; Ascough II, J.C.; … - In: Agricultural Systems 87 (2006) 3, pp. 274-295

Persistent link: https://www.econbiz.de/10005384447

Simulation of ecophysiological processes of growth in several annual crops : Edited by F. W. T. Penning de Vries, D. M. Jansen, H. F. M. ten Berge and A. Bakema. Simulation Monogra...

Hoogenboom, G. - In: Agricultural Systems 36 (1991) 2, pp. 244-258

Persistent link: https://www.econbiz.de/10005384450

Maize Technology Development and Transfer. A GIS Application for Research Planning in Kenya. R.M. Hassan (Ed.). CAB International, in association with the International Maize and W...

Hoogenboom, G. - In: Agricultural Systems 63 (2000) 2, pp. 143-145

Persistent link: https://www.econbiz.de/10005216253

Practitioner's handbook on the modelling of dynamic change in ecosystems : By J. N. R. Jeffers. SCOPE 34. John Wiley and Sons, Chichester, England, 1988. Pp. 181, ISBN 0-471-10519-...

Hoogenboom, G. - In: Agricultural Systems 32 (1990) 3, pp. 292-293

Persistent link: https://www.econbiz.de/10005216316

Irrigation water use estimates based on crop simulation models and kriging

Guerra, L.C.; Garcia y Garcia, A.; Hook, J.E.; … - In: Agricultural Water Management 89 (2007) 3, pp. 199-207

Persistent link: https://www.econbiz.de/10005132341

Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil

Heinemann, A. B.; Hoogenboom, G.; de Faria, R. T. - In: Agricultural Water Management 52 (2002) 3, pp. 177-196

Persistent link: https://www.econbiz.de/10005180888

Reduction in data collection for determination of cultivar coefficients for breeding applications

Anothai, J.; Patanothai, A.; Pannangpetch, K.; Jogloy, S.; … - In: Agricultural Systems 96 (2008) 1-3, pp. 195-206

Persistent link: https://www.econbiz.de/10005508234

Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration

Bannayan, M.; Eyshi Rezaei, E.; Hoogenboom, G. - In: Agricultural Water Management 126 (2013) C, pp. 56-63

Weather variables such as maximum and minimum temperatures and precipitation influence crop production especially under rainfed conditions. The goal of this study was to determine the optimum planting date of rainfed wheat based on crop evapotranspiration under water stress conditions (ETc adj),...

Persistent link: https://www.econbiz.de/10010678958

Estimating irrigation water use for maize in the Southeastern USA: A modeling approach

Salazar, M.R.; Hook, J.E.; Garcia y Garcia, A.; Paz, J.O.; … - In: Agricultural Water Management 107 (2012) C, pp. 104-111

Increased crop production and expansion of irrigated acreage in the southeastern USA have increased agricultural water use during the past two decades. To optimize irrigation water use, it is important to know when to irrigate and how much water should be applied. The objectives of this study...

Persistent link: https://www.econbiz.de/10010576912

Simulation of water use, nitrogen nutrition and growth of a spring wheat crop : By H. van Keulen and N. G. Seligman. PUDOC, Wageningen, The Netherlands, 1987. 310 pp. ISBN 90-220-0...

Hoogenboom, G. - In: Agricultural Systems 30 (1989) 1, pp. 97-98

Persistent link: https://www.econbiz.de/10005387703