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Modeling growth, development and yield of Sugarbeet using DSSAT 원문보기

Agricultural systems, v.169, 2019년, pp.58 - 70  

Anar, Mohammad J. (Agricultural and Biosystems Engineering Department, North Dakota State University) ,  Lin, Zhulu (Agricultural and Biosystems Engineering Department, North Dakota State University) ,  Hoogenboom, Gerrit (Agricultural and Biological Engineering Department, University of Florida) ,  Shelia, Vakhtang (Agricultural and Biological Engineering Department, University of Florida) ,  Batchelor, William D. (Biosystems Engineering Department, Auburn University) ,  Teboh, Jasper M. (Carrington Research Extension Center) ,  Ostlie, Michael (Carrington Research Extension Center) ,  Schatz, Blaine G. (Carrington Research Extension Center) ,  Khan, Mohamed (Plant Pathology Department, North Dakota State University)

Abstract AI-Helper 아이콘AI-Helper

Abstract Sugarbeet (Beta vulgaris) is considered as one of the most viable feedstock alternatives to maize for biofuel production since herbicide resistant sugarbeet was deregulated by the United States Department of Agriculture in 2012. So far, only a few sugarbeet simulation models have been deve...

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참고문헌 (83)

  1. Trans. ASABE Anar 60 6 1995 2017 10.13031/trans.12313 Analysis of parameter sensitivity and identifiability of Root Zone Water Quality Model (RZWQM) for dryland sugarbeet modeling 

  2. Aster 2005 Parameter Estimation and Inverse Problems 

  3. Ecol. Model. Baey 290 11 2014 10.1016/j.ecolmodel.2013.11.003 Parametrization of five classical plant growth models applied to sugarbeet and comparison of their predictive capacity on root yield and total biomass 

  4. Water Resour. Res. Beck 23 1393 1987 10.1029/WR023i008p01393 Water quality modeling: A review of the analysis of uncertainty 

  5. Biemond 31 1989 PIEteR: Semi green-box produktiemodel suikerbieten 

  6. Agron Brisson 18 5-6 36 1998 STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parametrization applied to wheat and corn 

  7. BioEnergy Res. Canter 9 77 2016 10.1007/s12155-015-9664-4 Policy implications of allocation methods in the life cycle analysis of integrated corn and corn stover ethanol production 

  8. Combs 12.1 2015 Recommended Chemical Soil Testing Procedures for the North Central Region Soil organic matter 

  9. Environ. Model. Softw. Confalonieri 81 165 2016 10.1016/j.envsoft.2016.04.009 Uncertainty in crop model predictions: What is the role of users? 

  10. Mathemat. Model. Nat. Phenom. Cournede 8 4 112 2013 10.1051/mmnp/20138407 Development and evaluation of plant growth models: methodology and implementation in the PyGMAlion platform 

  11. Doherty 2007 Use of PEST and some of its utilities in model calibration and predictive error variance analysis: a roadmap 

  12. Doherty 2010 PEST: Model-independent Parameter Estimation User Manual (fifth ed., with slight additions) 

  13. Doherty 

  14. Doherty 2016 PEST, Model-independent Parameter Estimation User Manual part I: PEST Utility Support Software 

  15. Doherty 2016 PEST, Model-independent Parameter Estimation User Manual part II: PEST Utility Support Software 

  16. Doherty 2010 Approaches to Highly Parameterized Inversion Guide to Using PEST for Groundwater-model Calibration 

  17. Water Resour. Res. Doherty 46 W05525 2010 10.1029/2009WR008377 A short exploration of structural noise 

  18. Fick 1971 Analysis and simulation of the growth of sugar beet (Beta vulgaris L.) 

  19. Flugge 2017 A Life-Cycle Analysis of the Greenhouse Gas Emissions of Corn-Based Ethanol 

  20. Energy Policy Foteinis 39 4834 2011 10.1016/j.enpol.2011.06.036 Life cycle analysis for bioethanol production from sugar beet crops in Greece 

  21. Field Crop Res. Gaydon 204 52 2017 10.1016/j.fcr.2016.12.015 Evaluation of the APSIM model in cropping systems of Asia 

  22. Gee 255 2002 Methods of Soil Analysis Particle-size analysis 

  23. Ann. Bot. Goenaga 76 337 1995 10.1006/anbo.1995.1105 Accumulation and portioning of dry matter in Taro [Colocasia esculenta (L.) Schoot] 

  24. Biomass Bioenergy Grahovac 35 4290 2011 10.1016/j.biombioe.2011.07.016 Optimization of bioethanol production from intermediates of sugar beet processing by response surface methodology 

  25. Plant Ecophysiol. Hemayati 3 5 2011 Study on radiation use efficiency of different sugarbeet cultivars 

  26. Energy Policy Hettinga 37 190 2009 10.1016/j.enpol.2008.08.002 Understanding the reductions in US corn ethanol production costs: an experience curve approach 

  27. 2010 Decision Support System for Agrotechnology Transfer Version 4.5. Volume 1: Overview 

  28. Hoogenboom 9 2012 Improving Soil Fertility Recommendations in Africa using the Decision Support Systems for Agrotechnology Transfers (DSSAT) Experiments and data for model evaluation and application 

  29. Hoogenboom 2017 Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.7 (www.DSSAT.net) 

  30. Hunt 1974 Respiratory control and its prediction by a dynamic model of sugar beet growth 

  31. Agric. Syst. Hunt 70 477 2001 10.1016/S0308-521X(01)00056-7 Agronomic data: Advances in documentation and protocols for exchange and use 

  32. International Benchmark Sites Network for Agrotechnology Transfer 1993 The IBSNAT Decade. Department of Agronomy and Soil Sci 

  33. International Benchmark Sites Network for Agrotechnology Transfer 1993 Research Report Series 02. A Simulation model for potato growth and Development: SUBSTOR-Potato Version 2.0 

  34. Ethanol Production Magazine Jessen 2012 RFS volume requirements released by EPA 

  35. Jones 157 1998 Understanding Options for Agricultural Production Decision support system for agrotechnology transfer 

  36. Eur. J. Agron. Jones 18 3 235 2003 10.1016/S1161-0301(02)00107-7 The DSSAT cropping system model 

  37. Agric. Syst. Khaembah 158 23 2017 10.1016/j.agsy.2017.08.005 Development of a fodder beet potential yield model in the next generation APSIM 

  38. Khan 2014 NDSU Extension Service and University of Minnesota Extension Service A1698 - 2014 Sugarbeet Production Guide 

  39. Agron. J. Kobayashi 92 345 2000 10.2134/agronj2000.922345x Comparing simulated and measured values using mean squared deviation and its components 

  40. Lee 1983 Conceptual Development of a sugarbeet crop growth model 

  41. Water Resour. Res. Legates 35 233 1999 10.1029/1998WR900018 Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model evaluation 

  42. Leviel 2000 Evaluation des risques et maitrise des flux d'azote au niveau d'uneparcelle agricole dans la plaine roumaine et bulgare. Application aux cultures demais, ble, colza et betterave 

  43. Leviel 2003 A Proceedings of the Joint Colloquium on Sugar Beet Growing and Modelling, Sept. 12th, 2003. Lille, France CERES-Beet, a model for the production and environmental impact of sugar beet 

  44. Field Crops Res. Li 78 1 2002 10.1016/S0378-4290(02)00084-9 Intraspecific responses in crop growth and yield of 20 soybean cultivars to enhanced ultraviolet-B radiation under field conditions 

  45. Agric. Syst. Li 135 90 2015 10.1016/j.agsy.2014.12.006 Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China 

  46. Vadose Zone J. Lin 5 248 2006 10.2136/vzj2005.0025 Automatic calibration and predictive uncertainty analysis of a semidistributed watershed model 

  47. Agron. J. Ma 97 4 1172 2005 10.2134/agronj2003.0314 Evaluation of the RZWQM-CROPGRO Hybrid model for soybean production 

  48. Agric. Syst. Ma 87 3 274 2006 10.1016/j.agsy.2005.02.001 Development and evaluation of the RZWQM-CERES-Maize hybrid model for maize production 

  49. Trans. ASABE Ma 55 4 1425 2012 10.13031/2013.42252 Root zone water quality model (RZWQM2): model use, calibration, and validation 

  50. Environ. Model. Softw. Marin 72 372 2015 10.1016/j.envsoft.2015.02.019 Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates 

  51. Biomass Bioenergy Maung 35 3737 2011 The economic feasibility of sugar beet biofuel production in central North Dakota 

  52. Environ. Model. Softw. McNider 72 341 2015 10.1016/j.envsoft.2014.10.009 An integrated crop and hydrologic modeling system to estimate hydrologic impacts of crop irrigation demands 

  53. J. Agric. Sci. Milford 110 301 1988 10.1017/S0021859600081326 Growth and dry matter partitioning in sugar beet 

  54. Agric. Syst. Miyake 139 180 2015 10.1016/j.agsy.2015.06.010 Environmental implications of using ‘underutilised agricultural land’ for future bioenergy crop production 

  55. Modig 189 1992 Proceedings of the /IRB 55th winter congress Swedish Forecasts of sugar beet yields -Some Regression Models 

  56. Water Resour. Res. Moore 41 5 W05020 2005 10.1029/2004WR003501 Role of the calibration process in reducing model predictive error 

  57. Trans. ASABE Moriasi 50 3 885 2007 10.13031/2013.23153 Model evaluation guidelines for systematic quantification of accuracy in watershed simulations 

  58. Biomass Bioenergy Nahar 59 512 2013 10.1016/j.biombioe.2013.10.012 Enzymatic hydrolysis and fermentation of crushed whole sugar beets 

  59. Environ. Model. Softw. Necpalova 66 110 2015 10.1016/j.envsoft.2014.12.011 Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling 

  60. Eur. J. Agron. Palosuo 35 3 103 2011 10.1016/j.eja.2011.05.001 Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models 

  61. Panella 357 2014 Yield Gains in Major U.S. Field Crops 

  62. Eur. J. Agron. Qi 23 108 2005 10.1016/j.eja.2004.09.007 The Broom's Barn sugar beet growth model and its adaptation to soils with varied available water content 

  63. Agric. Water Manag. Rinaldi 87 91 2007 10.1016/j.agwat.2006.06.006 Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy 

  64. Geoderma Saseendran 140 3 297 2007 10.1016/j.geoderma.2007.04.013 Simulating management effects on crop production, tile drainage, and water quality using RZWQM-DSSAT 

  65. Singh 129 1998 Understanding options for agricultural production Modeling growth and development of root and tuber crops 

  66. Smit 1993 1993 Proceedings of 'Plant Production on the threshold of new century'. Wageningen June 28-July Introduction to a bio-economic production model for sugar beet growing 

  67. Spitters 434 1989 Simulation and Systems Management in Crop Protection A simple and universal crop growth simulator: SUCROS87 

  68. Neth. J. Agric. Sci. Spitters 38 731 1990 A weather-based yield-forecasting model for sugar beet 

  69. EC Sugarbeet Production Guide 156 2013 University of Nebraska-Lincoln Extension 

  70. Taky 2008 Analyse experimentale et modelisation Maitrise des exces d'eau hivernaux et de Iirrigation et de leurs con-sequences sur la productivite de la betterave sucriere dans le perimetre irriguedu Gharb (Maroc) 

  71. Agric. Syst. Timsina 90 5 2006 10.1016/j.agsy.2005.11.007 Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: a review 

  72. Water Resour. Res. Tonkin 41 10 W10412 2005 10.1029/2005WR003995 A hybrid regularized inversion methodology for highly parameterized environmental models 

  73. 400 1998 Understanding Options for Agricultural Production. Systems Approaches for Sustainable Agricultural Development 

  74. USDA Economic Research Service 

  75. Vandendriessche 83 1989 Het suikerbietenmodel SUBEMO. In: Simulatie als hulpmiddel bij het stikstofbemestingsadvies voor de teelten wintertarwe en suikerbieten (I.W.O.N.L.) 

  76. Agric. Syst. Vandendriessche 64 1 2000 10.1016/S0308-521X(00)00005-6 A model of growth and sugar accumulation of sugar beet for potential production conditions: SUBEMOpo I. Theory and model structure 

  77. Eur. J. Agron. Vandendriessche 4 3 269 1995 10.1016/S1161-0301(14)80027-0 Crop models and decision support systems for yield forecasting and management of the sugarbeet crop 

  78. Biomass Bioenergy Vargas-Ramirez 59 362 2013 10.1016/j.biombioe.2013.07.014 Determination of suitable storage conditions to preserve fermentable sugars in raw thick beet juice for ethanol production 

  79. De Visser 2007 Functional-Structural Plant Modelling in Crop Production 

  80. Biomass Bioenergy Wang 35 1885 2011 10.1016/j.biombioe.2011.01.028 Energy and greenhouse emission effects of corn and cellulosic ethanol with technology improvements and land use changes 

  81. Ann. Bot. Webb 80 427 1997 10.1006/anbo.1997.0461 Modelling the dynamical components of sugar beet 

  82. Whitney 13.1 2015 Recommended Chemical Soil Testing Procedures for the North Central Region. North Central Reg. Res. Publ. no. 221 (revised) Soil salinity 

  83. Agric. Syst. Yang 127 1 81 2014 10.1016/j.agsy.2014.01.008 An evaluation of the statistical methods for testing the performance of a crop simulation model with observed data 

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