A Comprehensive Review of the CERES-Wheat, -Maize and -Rice Models' Performances

Advances in Agronomy

Volumn 136, Issue , 2016, Pages 27-132

  Basso, Bruno ^a   Liu, Lin ^a   Ritchie, Joe T ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

CERES models; Crop simulation; Maize; Phenology; Rice; Wheat; Yield

Indexed keywords

EID: 84953425976     PISSN: 00652113     EISSN: None     Source Type: Book Series    
DOI: 10.1016/bs.agron.2015.11.004     Document Type: Chapter

References (233)

1. Abeledo L.G., Savin R., Slafer G.A. Wheat productivity in the mediterranean ebro valley: analyzing the gap between attainable and potential yield with a simulation model. Eu. J. Agron. 2008, 28:541-550.
2. Ahmad S., Ahmad A., Ali H., Hussain A., Garcia y Garcia A., Khan M.A., Zia-Ul-Haq M., Hasanuzzaman M., Hoogenboom G. Application of the CSM-CERES-Rice model for evaluation of plant density and irrigation management of transplanted rice for an irrigated semiarid environment. Irrigation Sci. 2012, 31:491-506.
3. Al-Bakri J., Suleiman A., Abdulla F., Ayad J. Potential impact of climate change on rainfed agriculture of a semi-arid basin in Jordan. Phys. Chem. Earth 2011, 36:125-134.
4. Alexandrov V., Eitzinger J., Cajic V., Oberforster M. Potential impact of climate change on selected agricultural crops in North-eastern Austria. Glob. Chang. Biol. 2002, 8:372-389.
5. Alexandrov V.A., Hoogenboom G. The impact of climate variability and change on crop yield in bulgaria. Agricul. Forest Meteorol. 2000, 104:315-327.
6. Amien I., Redjekiningrum P., Kartiwa B., Estiningtyas W. Simulated rice yields as affected by interannual climate variability and possible climate change in java. Climate Res. 1999, 12:145-152.
7. Amiri E., Rezaei M., Bannayan M., Soufizadeh S. Calibration and evaluation of CERES rice model under different nitrogen- and water-management options in semi-mediterranean climate condition. Commun. Soil Sci. Plant Anal. 2013, 44:1814-1830.
8. Andresen J.A., Alagarswamy G., Rotz C.A., Ritchie J.T., LeBaron A.W. Weather impacts on maize, soybean, and alfalfa production in the great lakes region, 1895-1996. Agron. J. 2001, 93:1059-1070.
9. Anothai J., Soler C.M.T., Green A., Trout T.J., Hoogenboom G. 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. Agricul. Forest Meteorol. 2013, 176:64-76.
10. Arora V.K., Singh H., Singh B. Analyzing wheat productivity responses to climatic, irrigation and fertilizer-nitrogen regimes in a semi-arid sub-tropical environment using the CERES-Wheat model. Agricul. Water Manag. 2007, 94:22-30.
11. Asadi M.E., Clemente R.S. Evaluation of CERES-Maize of dssat model to simulate nitrate leaching, yield and soil moisture content under tropical conditions. J. Food Agric. Environ. 2003, 1:270-276.
12. Babel M.S., Agarwal A., Swain D.K., Herath S. Evaluation of climate change impacts and adaptation measures for rice cultivation in Northeast Thailand. Climate Res. 2011, 46:137-146.
13. Bacsi Z., Zemankovics F. Validation-an objective or a tool-results on a winter-wheat simulation-model application. Ecological Modelling 1995, 81:251-263.
14. Bakhsh A., Bashir I., Farid H.U., Wajid S.A. Using CERES-Wheat model to simulate grain yield production function for faisalabad, pakistan, conditions. Experimental Agriculture 2013, 49:461-475.
15. Bannayan M., Crout N.M.J., Hoogenboom G. Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the united kingdom. Agron. J. 2003, 95:114-125.
16. Bannayan, M., Mansoori, H., and Rezaei, E.E. (2014). Estimating climate change, CO2 and technology development effects on wheat yield in Northeast Iran. - 58.
17. Basso B., Bertocco M., Sartori L., Martin E.C. Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation. Eu. J. Agron. 2007, 26:82-91.
18. Basso B., Cammarano D., Chen D., Cafiero G., Amato M., Bitella G., Rossi R., Basso F. Landscape position and precipitation effects on spatial variability of wheat yield and grain protein in Southern Italy. Journal of Agronomy and Crop Science 2009, 195:301-312.
19. Basso B., Ritchie J.T., Cammarano D., Sartori L. A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field. Eur. J. Agron. 2011, 35:215-222.
20. Beckie H.J., Moulin A.P., Campbell C.A., Brandt S.A. Testing effectiveness of four simulation models for estimating nitrates and water in two soils. Can. J. Soil Sci. 1995, 75:135-143.
21. Behera S.K., Panda R.K. Integrated management of irrigation water and fertilizers for wheat crop using field experiments and simulation modeling. Agricul. Water Manag. 2009, 96:1532-1540.
22. Ben Nouna B., Katerji N., Mastrorilli M. Using the CERES-Maize model in a semi-arid mediterranean environment. Evaluation of model performance. Eu. J. Agron. 2000, 13:309-322.
23. Ben Nouna B., Katerji N., Mastrorilli M. Using the CERES-Maize model in a semi-arid mediterranean environment. New modelling of leaf area and water stress functions. Eu. J. Agron. 2003, 19:115-123.
24. Biernath C., Gayler S., Bittner S., Klein C., Högy P., Fangmeier A., Priesack E. Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers. Eu. J. Agron. 2011, 35:71-82.
25. Binder J., Graeff S., Link J., Claupein W., Liu M., Dai M., Wang P. Model-based approach to quantify production potentials of summer maize and spring maize in the North China plain. Agron. J. 2008, 100:862.
26. Braga R.P., Cardoso M.J., Coelho J.P. Crop model based decision support for maize (Zea mays l.) silage production in Portugal. Eu. J. Agron. 2008, 28:224-233.
27. 2 increase on potential agricultural production in Southern Quebec, Canada. Climate Res. 2007, 34:105-117.
28. Carberry P.S. Test of leaf-area development in CERES-Maize: a correction. Field Crops Res. 1991, 27:159-167.
29. Carberry P.S., Muchow R.C., McCown R.L. Testing the CERES-Maize simulation model in a semi-arid tropical environment. Field Crops Res. 1989, 20:297-315.
30. Cassman K.G. Ecological intensification of cereal production systems: yield potential, soil quality, and precision agriculture. Proc. Natl. Acad. Sci. USA 1999, 96:5952-5959.
31. Castrignano A., Colucci R., DeGiorgio D., Rizzo V., Stelluti M. Tillage effects on plant extractable soil water in a silty clay vertisol in Southern Italy. Soil Tillage Res. 1997, 40:227-237.
32. Caviglia O.P., Sadras V.O., Andrade F.H. Modelling long-term effects of cropping intensification reveals increased water and radiation productivity in the South-eastern Pampas. Field Crops Res. 2013, 149:300-311.
33. Cheyglinted S., Ranamukhaarachchi S.L., Singh G. Assessment of the CERES-Rice model for rice production in the central plain of Thailand. J. Agricul. Sci. 2001, 137:289-298.
34. Chipanshi A.C., Ripley E.A., Lawford R.G. Early prediction of spring wheat yields in saskatchewan from current and historical weather data using the CERES-Wheat model. Agricul. Forest Meteorol. 1997, 84:223-232.
35. Chipanshi A.C., Ripley E.A., Lawford R.G. Large-scale simulation of wheat yields in a semi-arid environment using a crop-growth model. Agricul. Syst. 1999, 59:57-66.
36. Cho K., Falloon P., Gornall J., Betts R., Clark R. Winter wheat yields in the uk: uncertainties in climate and management impacts. Climate Res. 2012, 54:49-68.
37. Dahlke B.J., Oplinger E.S., Gaska J.M., Martinka M.J. Influence of planting date and seeding rate on winter wheat grain yield and yield components. JPA 1993, 6:408-414.
38. Dechmi F., Playan E., Faci J., Cavero J. Simulation of sprinkler irrigation water uniformity impact on corn yield. Spanish J. Agricul. Res. 2010, 8:S143-S151.
39. DeJonge K.C., Andales A.A., Ascough J.C., Hansen N.C. Modeling of full and limited irrigation scenarios for corn in a semiarid environment. T. ASABE 2011, 54:481-492.
40. DeJonge K.C., Ascough J.C., Andales A.A., Hansen N.C., Garcia L.A., Arabi M. Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation. Agricul. Water Manag. 2012, 115:92-103.
41. Dettori M., Cesaraccio C., Motroni A., Spano D., Duce P. Using CERES-Wheat to simulate durum wheat production and phenology in Southern Sardinia, Italy. Field Crops Res. 2011, 120:179-188.
42. 2 fertilization with crop models. Agricul. Forest Meteorol. 1997, 87:253-272.
43. Dogan E., Clark G.A., Rogers D.H., Martin V., Vanderlip R.L. On-farm scheduling studies and CERES-Maize simulation of irrigated corn. Appl. Eng. Agric. 2006, 22:509-516.
44. Dong Y., Zhao C., Yang G., Chen L., Wang J., Feng H. Integrating a very fast simulated annealing optimization algorithm for crop leaf area index variational assimilation. Math. Comput. Model. 2013, 58:877-885.
45. Dong Y.Y., Wang J.H., Li C.J., Yang G.J., Wang Q., Liu F., Zhao J.L., Wang H.F., Huang W.J. Comparison and analysis of data assimilation algorithms for predicting the leaf area index of crop canopies. JSTARS 2013, 6:188-201.
46. Eitzinger J., Stastna M., Zalud Z., Dubrovsky M. A simulation study of the effect of soil water balance and water stress on winter wheat production under different climate change scenarios. Agricul. Water Manag. 2003, 61:195-217.
47. Eitzinger J., Trnka M., Hösch J., Žalud Z., Dubrovský M. Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecol. Model. 2004, 171:223-246.
48. Epperson J.E., Hook J.E., Mustafa Y.R. Dynamic programming for improving irrigation scheduling strategies of maize. Agricul. Syst. 1993, 42:85-101.
49. Estes L.D., Beukes H., Bradley B.A., Debats S.R., Oppenheimer M., Ruane A.C., Schulze R., Tadross M. Projected climate impacts to South African maize and wheat production in 2055: a comparison of empirical and mechanistic modeling approaches. Glob. Chang. Biol. 2013, 19:3762-3774.
50. Gabrielle B., Kengni L. Analysis and field-evaluation of the CERES models' soil components: nitrogen transfer and transformations. Soil Sci. Soc. Am. J. 1996, 60:142-149.
51. Gabrielle B., Mary B., Roche R., Smith P., Gosse G. Simulation of carbon and nitrogen dynamics in arable soils: a comparison of approaches. Eu. J. Agron. 2002, 18:107-120.
52. Gabrielle B., Menasseri S., Houot S. Analysis and field evaluation of the CERES models water balance component. Soil Sci. Soc. Am. J. 1995, 59:1403-1412.
53. Garrison M.V., Batchelor W.D., Kanwar R.S., Ritchie J.T. Evaluation of the CERES-Maize water and nitrogen balances under tile-drained conditions. Agricul. Syst. 1999, 62:189-200.
54. Gerakis A., Rasse D.P., Kavdir Y., Smucker A.J.M., Katsalirou I., Ritchie J.T. Simulation of leaching losses in the nitrogen cycle. Commun. Soil Sci. Plant Anal. 2006, 37:1973-1997.
55. Gerardeaux E., Giner M., Ramanantsoanirina A., Dusserre J. Positive effects of climate change on rice in Madagascar. Agron. Sustain. Dev. 2011, 32:619-627.
56. Gercek S., Okant M. Evaluation of CERES-Maize simulation model results with measured data using water pillow irrigation under semi-arid climatic conditions. Afr. J. Agricul. Res. 2010, 5:606-613.
57. Ghaffari A., Cook H.F., Lee H.C. Simulating winter wheat yields under temperate conditions: exploring different management scenarios. Eu. J. Agron. 2001, 15:231-240.
58. Ghaffari A., Cook H.F., Lee H.C. Climate change and winter wheat management: a modelling scenario for South-eastern England. Climatic Chang. 2002, 55:509-533.
59. Godwin D.C., Meyer W.S., Singh U. Simulation of the effect of chilling injury and nitrogen supply on floret fertility and yield in rice. Aus. J. Exp. Agric. 1994, 34:921-926.
60. Greene J.S., Maxwell E. Climatic impacts on winter wheat in Oklahoma and potential applications to climatic and crop yield prediction. Int. J. Biometeorol. 2007, 52:117-126.
61. Gungula D.T., Kling J.G., Togun A.O. CERES-Maize predictions of maize phenology under nitrogen-stressed conditions in Nigeria. Agron. J. 2003, 95:892-899.
62. Guo R., Lin Z., Mo X., Yang C. Responses of crop yield and water use efficiency to climate change in the North China plain. Agricul. Water Manag. 2010, 97:1185-1194.
63. Hasegawa H., Bryant D.C., Denison R.F. Testing CERES model predictions of crop growth and n dynamics, in cropping systems with leguminous green manures in a mediterranean climate. Field Crops Res. 2000, 67:239-255.
64. He J., Dukes M.D., Hochmuth G.J., Jones J.W., Graham W.D. Evaluation of sweet corn yield and nitrogen leaching with CERES-Maize considering input parameter uncertainties. T. ASABE 2011, 54:1257-1268.
65. He J.Q., Cai H.J., Bai J.P. Irrigation scheduling based on CERES-Wheat model for spring wheat production in the Minqin Oasis in Northwest China. Agricul. Water Manag. 2013, 128:19-31.
66. He Y., Hou L., Wang H., Hu K., McConkey B. A modelling approach to evaluate the long-term effect of soil texture on spring wheat productivity under a rain-fed condition. Sci. Rep. 2014, 4:5736.
67. Heinemann A.B., Hoogenboom G., de Faria R.T. Determination of spatial water requirements at county and regional levels using crop models and GIS an example for the state of Parana, brazil. Agricul. Water Manag. 2002, 52:177-196.
68. Hodges T., Botner D., Sakamoto C., Haug J.H. Using the CERES-Maize model to estimate production for the U.S. Corn-belt. Agricul. Forest Meteorol. 1987, 40:293-303.
69. Hodges T., Evans D.W. Leaf emergence and leaf duration related to thermal time calculations in CERES-Maize. Agron. J. 1992, 84:724-730.
70. Hook J.E. Using crop models to plan water withdrawals for irrigation in drought years. Agricul. Syst. 1994, 45:271-289.
71. Hundal S.S., Prabhjyot Kaur Application of the CERES-Wheat model to yield predictions in the irrigated plains of the indian punjab. J. Agricul. Sci. 1997, 129:13-18.
72. Iglesias A., Rosenzweig C., Pereira D. Agricultural impacts of climate change in Spain: developing tools for a spatial analysis. Glob. Environ. Chang. 2000, 10:69-80.
73. Iqbal M.A., Eitzinger J., Formayer H., Hassan A., Heng L.K. A simulation study for assessing yield optimization and potential for water reduction for summer-sown maize under different climate change scenarios. J. Agricul. Sci. 2011, 149:129-143.
74. Jagtap S.S., Abamu F.J. Matching improved maize production technologies to the resource base of farmers in a moist Savanna. Agricul. Syst. 2003, 76:1067-1084.
75. Jagtap S.S., Abamu F.J., Kling J.G. Long-term assessment of nitrogen and variety technologies on attainable maize yields in nigeria using CERES-Maize. Agricul. Syst. 1999, 60:77-86.
76. Jagtap S.S., Mornu M., Kang B.T. Simulation of growth, development and yield of maize in the transition zone of nigeria. Agricul. Syst. 1993, 41:215-229.
77. Jamieson P.D., Porter J.R., Goudriaan J., Ritchie J.T., van Keulen H., Stol W. A comparison of the models afrcwheat2, CERES-Wheat, sirius, sucros2 and swheat with measurements from wheat grown under drought. Field Crops Res. 1998, 55:23-44.
78. Jara J., Stockle C.O. Simulation of water uptake in maize, using different levels of process detail. Agron. J. 1999, 91:256-265.
79. Ji J., Cai H., He J., Wang H. Performance evaluation of CERES-Wheat model in guanzhong plain of Northwest China. Agricul. Water Manag. 2014, 144:1-10.
80. Johnen T., Boettcher U., Kage H. A variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model. Computers and Electronics in Agriculture 2012, 89:62-69.
81. Jones C.A., Kiniry J.R., Dyke P.T. CERES-Maize: a simulation model of maize growth and development 1986, Texas A&M University Press, College Station.
82. Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor W.D., Hunt L.A., Wilkens P.W., Singh U., Gijsman A.J., Ritchie J.T. The dssat cropping system model. Eu. J. Agron. 2003, 18:235-265.
83. Jones J.W., Tsuji G.Y., Hoogenboom G., Hunt L.A., Thornton P.K., Wilkens P.W., Imamura D.T., Bowen W.T., Singh U. Decision support system for agrotechnology transfer: DSSAT v3. Understanding options for agricultural production 1998, vol. 7:157-177. Springer, Netherlands.
84. Kang S., Payne W.A., Evett S.R., Robinson C.A., Stewart B.A. Simulation of winter wheat evapotranspiration in texas and henan using three models of differing complexity. Agricul. Water Manag. 2009, 96:167-178.
85. Kassie B.T., Van Ittersum M.K., Hengsdijk H., Asseng S., Wolf J., Rötter R.P. Climate-induced yield variability and yield gaps of maize (zea mays l.) in the central rift valley of ethiopia. Field Crops Res. 2014, 160:41-53.
86. Kim H.-Y., Ko J., Kang S., Tenhunen J. Impacts of climate change on paddy rice yield in a temperate climate. Glob. Chang. Biol. 2013, 19:548-562.
87. Kiniry J.R., Bockholt A.J. Maize and sorghum simulation in diverse texas environments. Agron. J. 1998, 90:682-687.
88. Kiniry J.R., Williams J.R., Vanderlip R.L., Atwood J.D., Reicosky D.C., Mulliken J., Cox W.J., Mascagni H.J., Hollinger S.E., Wiebold W.J. Evaluation of two maize models for nine us locations. Agron. J. 1997, 89:421-426.
89. Kovacs G.J., Nemeth T., Ritchie J.T. Testing simulation models for the assessment of crop production and nitrate leaching in hungary. Agricul. Syst. 1995, 49:385-397.
90. Lal M., Singh K.K., Rathore L.S., Srinivasan G., Saseendran S.A. Vulnerability of rice and wheat yields in nw india to future changes in climate. Agricul. Forest Meteorol. 1998, 89:101-114.
91. Landau S., Mitchell R.A.C., Barnett V., Colls J.J., Craigon J., Moore K.L., Payne R.W. Testing winter wheat simulation models' predictions against observed uk grain yields. Agricul. Forest Meteorol. 1998, 89:85-99.
92. Langensiepen M., Hanus H., Schoop P., Gräsle W. Validating CERES-Wheat under North-German environmental conditions. Agricul. Syst. 2008, 97:34-47.
93. Lashkari A., Alizadeh A., Rezaei E.E., Bannayan M. Mitigation of climate change impacts on maize productivity in Northeast of Iran: a simulation study. Mitig. Adapt. Strat. Glob. Chang. 2011, 17:1-16.
94. Link J., Graeff S., Batchelor W.D., Claupein W. Evaluating the economic and environmental impact of environmental compensation payment policy under uniform and variable-rate nitrogen management. Agricul. Syst. 2006, 91:135-153.
95. Liu H.-l., Yang J.-y., He P., Bai Y.-l., Jin J.-y., Drury C.F., Zhu Y.-p., Yang X.-m., Li W.-j., Xie J.-g., Yang J.-m., Hoogenboom G. Optimizing parameters of CSM-CERES-Maize model to improve simulation performance of maize growth and nitrogen uptake in Northeast China. Journal of Integrative Agriculture 2012, 11:1898-1913.
96. Liu H.L., Yang J.Y., Drury C.F., Reynolds W.D., Tan C.S., Bai Y.L., He P., Jin J., Hoogenboom G. 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 2010, 89:313-328.
97. Liu H.L., Yang J.Y., Tan C.S., Drury C.F., Reynolds W.D., Zhang T.Q., Bai Y.L., Jin J., He P., Hoogenboom G. Simulating water content, crop yield and nitrate-n loss under free and controlled tile drainage with subsurface irrigation using the DSSAT model. Agricul. Water Manag. 2011, 98:1105-1111.
98. Liu S., Yang J.Y., Drury C.F., Liu H.L., Reynolds W.D. Simulating maize (zea mays l.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in ontario, canada. Can. J. Soil Sci. 2014, 94:435-452.
99. Liu S., Yang J.Y., Zhang X.Y., Drury C.F., Reynolds W.D., Hoogenboom G. Modelling crop yield, soil water content and soil temperature for a soybean-maize rotation under conventional and conservation tillage systems in Northeast China. Agricul. Water Manag. 2013, 123:32-44.
100. Liu W.T.H. Application of CERES-Maize model to yield prediction of a brazilian maize hybrid. Agricul. Forest Meteorol. 1989, 45:299-312.
101. Liu Y., Tao F. Probabilistic change of wheat productivity and water use in china for global mean temperature changes of 1°, 2°, and 3 °c. Journal of Applied Meteorology and Climatology 2013, 52:114-129.
102. Liu Y., Yuan G. Impacts of climate change on winter wheat growth in panzhuang irrigation district, shandong province. Journal of Geographical Sciences 2010, 20:861-875.
103. Lizaso J.I., Batchelor W.D., Adams S.S. Alternate approach to improve kernel number calculation in CERES-Maize. Transactions of the Asae 2001, 44:1011-1018.
104. Lizaso J.I., Batchelor W.D., Westgate M.E. A leaf area model to simulate cultivar-specific expansion and senescence of maize leaves. Field Crops Res. 2003, 80:1-17.
105. Lizaso J.I., Batchelor W.D., Westgate M.E., Echarte L. Enhancing the ability of CERES-Maize to compute light capture. Agricul. Syst. 2003, 76:293-311.
106. Lizaso J.I., Boote K.J., Jones J.W., Porter C.H., Echarte L., Westgate M.E., Sonohat G. CSM-IXIM: a new maize simulation model for dssat version 4.5. Agron. J. 2011, 103:766-779.
107. Lobell D.B., Ortiz-Monasterio J.I. Evaluating strategies for improved water use in spring wheat with CERES. Agricul. Water Manag. 2006, 84:249-258.
108. Lobell D.B., Ortiz-Monasterio J.I., Asner G.P., Matson P.A., Naylor R.L., Falcon W.P. Analysis of wheat yield and climatic trends in Mexico. Field Crops Res. 2005, 94:250-256.
109. López-Cedrón F.X., Boote K.J., Piñeiro J., Sau F. Improving the CERES-Maize model ability to simulate water deficit impact on maize production and yield components. Agron. J. 2008, 100:296-307.
110. López-Cedrón F.X., Boote K.J., Ruíz-Nogueira B., Sau F. Testing CERES-Maize versions to estimate maize production in a cool environment. Eu. J. Agron. 2005, 23:89-102.
111. Mahmood, R., Meo, M., Legates, D. R., and Morrissey, M. L. (2003). The CERES-Rice model-based estimates of potential monsoon season rainfed rice productivity in Bangladesh. 55, 259-273.
112. Makadho J. Potential effects of climate change on corn production in Zimbabwe. Climate Res. 1996, 6:147-151.
113. Mall R.K., Aggarwal P.K. Climate change and rice yields in diverse agro-environments of India. I. Evaluation of impact assessment models. Climatic Chang. 2002, 52:315-330.
114. Mastrorilli M., Katerji N., Nouna B.B. Using the CERES-Maize model in a semi-arid mediterranean environment. Validation of three revised versions. Eu. J. Agron. 2003, 19:125-134.
115. Matson P.A., Parton W.J., Power A.G., Swift M.J. Agricultural intensification and ecosystem properties. Science 1997, 277:504-509.
116. Maytin C.E., Acevedo M.F., Jaimez R., Andressen R., Harwell M.A., Robock A., Azocar A. Potential effects of global climatic change on the phenology and yield of maize in Venezuela. Climatic Chang. 1995, 29:189-211.
117. 2 general circulation model studies. Agricul. Forest Meteorol. 1992, 62:159-189.
118. Meza F.J., Silva D., Vigil H. Climate change impacts on irrigated maize in mediterranean climates: evaluation of double cropping as an emerging adaptation alternative. Agricul. Syst. 2008, 98:21-30.
119. Miao Y., Mulla D.J., Batchelor W.D., Paz J.O., Robert P.C., Wiebers M. Evaluating management zone optimal nitrogen rates with a crop growth model. Agron. J. 2006, 98:545-553.
120. Mize C.W., Egeh M.H., Batchelor W.D. Predicting maize and soybean production in a sheltered field in the cornbelt region of North central USA. Agroforestry Systems 2005, 64:107-116.
121. Monzon J.P., Sadras V.O., Abbate P.A., Caviglia O.P. Modelling management strategies for wheat-soybean double crops in the South-eastern Pampas. Field Crops Res. 2007, 101:44-52.
122. Moradi R., Koocheki A., Mahallati M.N. Adaptation of maize to climate change impacts in Iran. Mitig. Adapt. Strat. Glob. Chang.V 19 2014, 1223-1238.
123. Moradi R., Koocheki A., Nassiri Mahallati M., Mansoori H. Adaptation strategies for maize cultivation under climate change in Iran: irrigation and planting date management. Mitig. Adapt. Strat. Glob. Chang.V 18 2013, 265-284.
124. Moreno-Sotomayor A., Weiss A. Improvements in the simulation of kernel number and grain yield in CERES-Wheat. Field Crops Res. 2004, 88:157-169.
125. Moulin A.P., Beckie H.J. Evaluation of the CERES and epic models for predicting spring wheat grain yield over time. Can. J. Plant Sci. 1993, 73:713-719.
126. Mubeen M., Ahmad A., Wajid A., Khaliq T., Bakhsh A. Evaluating CSM-CERES-Maize model for irrigation scheduling in semi-arid conditions of Punjab, Pakistan. Int. J. Agricul. Biol. 2013, 15:1-10.
127. Nain A.S., Dadhwal V.K., Singh T.P. Use of CERES-Wheat model for wheat yield forecast in central indo-gangetic plains of India. J. Agricul. Sci. 2004, 142:59-70.
128. O'Neal M.R., Frankenberger J.R., Ess D.R. Use of CERES-Maize to study effect of spatial precipitation variability on yield. Agricul. Syst. 2002, 73:205-225.
129. Otegui M.E., Ruiz R.A., Petruzzi D. Modeling hybrid and sowing date effects on potential grain yield of maize in a humid temperate region. Field Crops Res. 1996, 47:167-174.
130. Otter, S., Ritchie, J.T., 1985. Validation of the CERES-wheat model in diverse environments. In: Wheat Growth and Modelling, Springer, pp. 307-310.
131. Ottman M.J., Anthony Hunt L., White J.W. Photoperiod and vernalization effect on anthesis date in winter-sown spring wheat regions. Agron. J. 2013, 105:1017-1025.
132. Palosuo T., Kersebaum K.C., Angulo C., Hlavinka P., Moriondo M., Olesen J.E., Patil R.H., Ruget F., Rumbaur C., Takáč J., Trnka M., Bindi M., Çaldağ B., Ewert F., Ferrise R., Mirschel W., Şaylan L., Šiška B., Rötter R. Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eu. J. Agron. 2011, 35:103-114.
133. Panda R.K., Behera S.K., Kashyap P.S. Effective management of irrigation water for wheat under stressed conditions. Agricul. Water Manag. 2003, 63:37-56.
134. Panda R.K., Behera S.K., Kashyap P.S. Effective management of irrigation water for maize under stressed conditions. Agricul. Water Manag. 2004, 66:181-203.
135. Pang X.P., Gupta S.C., Moncrief J.F., Rosen C.J., Cheng H.H. Evaluation of nitrate leaching potential in Minnesota glacial outwash soils using the CERES-Maize model. J. Environ. Qual. 1998, 27:75-85.
136. Pang X.P., Letey J., Wu L. Yield and nitrogen uptake prediction by CERES-Maize model under semiarid conditions. Soil Sci. Soc. Am. J. 1997, 61:254-256.
137. Paz J.O., Batchelor W.D., Babcock B.A., Colvin T.S., Logsdon S.D., Kaspar T.C., Karlen D.L. Model-based technique to determine variable rate nitrogen for corn. Agricul. Syst. 1999, 61:69-75.
138. Pecetti L., Hollington P.A. Application of the CERES-Wheat simulation model to durum wheat in two diverse mediterranean environments. Eu. J. Agron. 1997, 6:125-139.
139. Persson T., Garcia A.G.Y., Paz J., Jones J., Hoogenboom G. Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices. Agricul. Syst. 2009, 100:11-21.
140. Phakamas N., Jintrawet A., Patanothai A., Sringam P., Hoogenboom G. Estimation of solar radiation based on air temperature and application with the DSSAT v4.5 peanut and rice simulation models in Thailand. Agricul. Forest Meteorol. 2013, 180:182-193.
141. Pinitpaitoon S., Suwanarit A., Bell R.W. A framework for determining the efficient combination of organic materials and mineral fertilizer applied in maize cropping. Field Crops Res. 2011, 124:302-315.
142. Popova Z., Kercheva M. Ceres model application for increasing preparedness to climate variability in agricultural planning-calibration and validation test. Phys. Chem. Earth 2005, 30:125-133.
143. Porter J.R., Jamieson P.D., Wilson D.R. Comparison of the wheat simulation models AFRCWHEAT2, CERES-Wheat and swheat for nonlimiting conditions of crop growth. Field Crops Res. 1993, 33:131-157.
144. Povilaitis V., Lazauskas S. Winter wheat productivity in relation to water availability and growing intensity. Zemdirbyste-Agric. 2010, 97:59-68.
145. Priesack E., Gayler S., Hartmann H.P. The impact of crop growth sub-model choice on simulated water and nitrogen balances. Nut. Cycl. Agroecosys. 2006, 75:1-13.
146. Ramawat N., Sharma H.L., Kumar R. Simulation, validation and application of CERES-Maize model for yield maximization of maize in North Western Himalayas. Appl. Ecol. Environ. Res. 2012, 10:303-318.
147. Ratjen A.M., Böttcher U., Kage H. Improved modeling of grain number in winter wheat. Field Crops Res. 2012, 133:167-175.
148. Reid W.V., Mooney H.A., Cropper A., Capistrano D., Carpenter S., Chopra K., Dasgupta P., Dietz T., Duraiappah A., Hassan R. Ecosystems and Human Well-Being: Synthesis 2005, Island Press, Washington, DC.
149. Retta A., Vanderlip R.L., Higgins R.A., Moshier L.J., Feyerherm A.M. Suitability of corn growth models for incorporation of weed and insect stresses. Agron. J. 1991, 83:757-765.
150. Rezzoug W., Gabrielle B., Suleiman A., Benabdeli K. Application and evaluation of the dssat-wheat in the tiaret region of Algeria. Afr. J. Agricul. Res. 2008, 3:284-296.
151. Ritchie, J.T., 1985. A user-orientated model of the soil water balance in wheat. In: Wheat Growth and Modelling, Springer. pp. 293-305.
152. Ritchie J.T. The CERES-maize model. CERES Maize: A simulation model of maize growth and development 1986, Texas A&M Univ. Press, College Station, TX, 1-6.
153. Ritchie J.T., Alagarswamy G. Model concepts to express genetic differences in maize yield components. Agron. J. 2003, 95:4-9.
154. Ritchie, J. T., Alocilja, E. C., Singh, U., and Uehara, G., 1986a. IBSNAT and the CERES-Rice model. Weather and rice.
155. Ritchie J.T., Kiniry J.R., Jones C.A., Dyke P.T. Model inputs. CERES-Maize: a Simulation Model of Maize Growth and Development 1986, Texas A&M University Press, College Station, 37-48.
156. Ritchie J.T., Porter C.H., Judge J., Jones J.W., Suleiman A.A. Extension of an existing model for soil water evaporation and redistribution under high water content conditions. Soil Sci. Soc. Am. J. 2009, 73:792-801.
157. Ritchie J.T., Singh U., Godwin D.C., Bowen W.T. Cereal growth, development and yield. Understanding Options for Agricultural Production 1998, vol. 7:79-98. Springer, Netherlands.
158. Rosenzweig C., Tubiello F.N. Effects of changes in minimum and maximum temperature on wheat yields in the central us a simulation study. Agricul. Forest Meteorol. 1996, 80:215-230.
159. Ruane A.C., Cecil L.D., Horton R.M., Gordón R., McCollum R., Brown D., Killough B., Goldberg R., Greeley A.P., Rosenzweig C. Climate change impact uncertainties for maize in Panama: farm information, climate projections, and yield sensitivities. Agricul. Forest Meteorol. 2013, 170:132-145.
160. Sadler E.J., Gerwig B.K., Evans D.E., Busscher W.J., Bauer P.J. Site-specific modeling of corn yield in the SE coastal plain. Agricul. Syst. 2000, 64:189-207.
161. Salazar M.R., Hook J.E., Garcia, Garcia A., Paz J.O., Chaves B., Hoogenboom G. Estimating irrigation water use for maize in the Southeastern USA: a modeling approach. Agricul. Water Manag. 2012, 107:104-111.
162. Salmerón M., Cavero J., Isla R., Porter C.H., Jones J.W., Boote K.J. Dssat nitrogen cycle simulation of cover crop-maize rotations under irrigated mediterranean conditions. Agron. J. 2014, 106:1283-1296.
163. Salmerón M., Urrego Y.F., Isla R., Cavero J. Effect of non-uniform sprinkler irrigation and plant density on simulated maize yield. Agricul. Water Manag. 2012, 113:1-9.
164. Samuhel P., Siska B. Parameterization of crop simulation model "CERES-Maize" in Nitra-Dolná Malanta. J. Environ. Eng. Landsc. Manag. 2007, 15:25-30.
165. Sandor R., Fodor N. Simulation of soil temperature dynamics with models using different concepts. ScientificWorldJournal 2012, 2012:590287.
166. Sarkar R., Kar S. Evaluation of management strategies for sustainable rice-wheat cropping system, using dssat seasonal analysis. J. Agricul. Sci. 2006, 144:421.
167. Sarkar R., Kar S. Sequence analysis of dssat to select optimum strategy of crop residue and nitrogen for sustainable rice-wheat rotation. Agron. J. 2008, 100:87-97.
168. Saseendran S.A., Ahuja L.R., Nielsen D.C., Trout T.J., Ma L. Use of crop simulation models to evaluate limited irrigation management options for corn in a semiarid environment. Water Res. 2008, 44. n/a-n/a.
169. Saseendran S.A., Ma L., Nielsen D.C., Vigil M.F., Ahuja L.R. Simulating planting date effects on corn production using RZWQM and CERES-Maize models. Agron. J. 2005, 58-71.
170. Saseendran S.A., Nielsen D.C., Ma L., Ahuja L.R., Halvorson A.D. Modeling nitrogen management effects on winter wheat production using RZWQM and CERES-Wheat. Agron. J. 2004, 96:615-630.
171. Satapathy S.S., Swain D.K., Herath S. Field experiments and simulation to evaluate rice cultivar adaptation to elevated carbon dioxide and temperature in sub-tropical India. Eu. J. Agron. 2014, 54:21-33.
172. Savin R., Hall A.J., Satorre E.H. Testing the root growth subroutine of the CERES-Wheat model for two cultivars of different cycle length. Field Crops Res. 1994, 38:125-133.
173. Savin R., Satorre E.H., Hall A.J., Slafer G.A. Assessing strategies for wheat cropping in the monsoonal climate of the Pampas using the CERES-Wheat simulation model. Field Crops Res. 1995, 42:81-91.
174. Singh A.K., Tripathy R., Chopra U.K. Evaluation of CERES-Wheat and cropsyst models for water-nitrogen interactions in wheat crop. Agricul. Water Manag. 2008, 95:776-786.
175. Soldevilla-Martinez M., Martin-Lammerding J.L., Walter I., Quemada M., Lizaso J.I. Simulating improved combinations tillage-rotation under dryland conditions. Span. J. Agricul. Res. 2013, 11(3):820.
176. Soler C.M.T., Bado V.B., Traore K., Bostick W.M., Jones J.W., Hoogenboom G. Soil organic carbon dynamics and crop yield for different crop rotations in a degraded ferruginous tropical soil in a semi-arid region: a simulation approach. J. Agricul. Sci. 2011, 149:579-593.
177. Soler C.M.T., Sentelhas P.C., Hoogenboom G. Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment. Eu. J. Agron. 2007, 27:165-177.
178. 2 fertilization. Climate Res. 2002, 22:73-86.
179. Southworth J., Randolph J.C., Habeck M., Doering O.C., Pfeifer R.A., Rao D.G., Johnston J.J. Consequences of future climate change and changing climate variability on maize yields in the midwestern United States. Agric. Ecosys. Environ. 2000, 82:139-158.
180. St'astna M., Trnka M., Kren J., Dubrovsky M., Zalud Z. Evaluation of the CERES models in different production regions of the Czech republic. Rostlinna Vyroba 2002, 48:125-132.
181. Staggenborg S.A., Vanderlip R.L. Crop simulation models can be used as dryland cropping systems research tools. Agron. J. 2005, 97:378-384.
182. Strzepek K.M., Major D.C., Rosenzweig C., Iglesias A., Yates D.N., Holt A., Hillel D. New methods of modeling water availability for agriculture under climate change: the U.S. Cornbelt. JAWRA 1999, 35:1639-1655.
183. Subash N., Mohan H.S.R. Evaluation of the impact of climatic trends and variability in rice-wheat system productivity using cropping system model dssat over the indo-gangetic plains of India. Agricul. Forest Meteorol. 2012, 164:71-81.
184. Sudharsan D., Adinarayana J., Reddy D.R., Sreenivas G., Ninomiya S., Hirafuji M., Kiura T., Tanaka K., Desai U.B., Merchant S.N. Evaluation of weather-based rice yield models in India. Int. J. Biometeorol. 2013, 57:107-123.
185. Sultana H., Ali N., Iqbal M.M., Khan A. Vulnerability and adaptability of wheat production in different climatic zones of Pakistan under climate change scenarios. Climatic Chang. 2009, 94:123-142.
186. Swain D.K., Yadav A. Simulating the impact of climate change on rice yield using CERES-Rice model. J. Environ. Inform. 2009, 13:104-110.
187. Tao F., Hayashi Y., Zhang Z., Sakamoto T., Yokozawa M. Global warming, rice production, and water use in China: developing a probabilistic assessment. Agricul. Forest Meteorol. 2008, 148:94-110.
188. Tao F., Zhang Z. Impacts of climate change as a function of global mean temperature: maize productivity and water use in China. Climatic Chang. 2010, 105:409-432.
189. Thaler S., Eitzinger J., Trnka M., Dubrovsky M. Impacts of climate change and alternative adaptation options on winter wheat yield and water productivity in a dry climate in central Europe. J. Agricul. Sci. 2012, 150:537-555.
190. Thorp K.R., Batchelor W.D., Paz J.O., Kaleita A.L., DeJonge K.C. Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture. T. ASABE 2007, 50:1467-1479.
191. Thorp K.R., Hunsaker D.J., French A.N. Assimilating leaf area index estimates from remote sensing into the simulations of a cropping systems model. T. ASABE 2010, 53:251-262.
192. Thorp K.R., Hunsaker D.J., French A.N., White J.W., Clarke T.R., Pinter P.J. Evaluation of the CSM-CROPSIM-CERES-Wheat model as a tool for crop water management. T. ASABE 2010, 53:87-102.
193. Thorp K.R., Wang G., West A.L., Moran M.S., Bronson K.F., White J.W., Mon J. Estimating crop biophysical properties from remote sensing data by inverting linked radiative transfer and ecophysiological models. Remote Sens. Environ. 2012, 124:224-233.
194. Tian Z., Zhong H., Shi R., Sun L., Fischer G., Liang Z. Estimating potential yield of wheat production in China based on cross-scale data-model fusion. Front. Earth Sci. 2012, 6:364-372.
195. Timsina J., Godwin D., Humphreys E., Yadvinder S., Bijay S., Kukal S.S., Smith D. Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model. Agricul. Water Manag. 2008, 95:1099-1110.
196. Timsina J., Humphreys E. Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: a review. Agricul. Syst. 2006, 90:5-31.
197. Timsina J., Singh U., Badaruddin M., Meisner C. Cultivar, nitrogen, and moisture effects on a rice-wheat sequence: experimentation and simulation. Agron. J. 1998, 90:119-130.
198. Touré A., Major D.J., Lindwall C.W. Comparison of five wheat simulation models in Southern Alberta. Can. J. Plant Sci. 1995, 75:61-68.
199. Trnka M., Dubrovský M., Semerádová D., Žalud Z. Projections of uncertainties in climate change scenarios into expected winter wheat yields. Theor. Appl. Climatol. 2004, 77:229-249.
200. Tsvetsinskaya E.A., Mearns L.O., Mavromatis T., Gao W., McDaniel L., Downton M.W. The effect of spatial scale of climatic change scenarios on simulated maize, winter wheat, and rice production in the Southeastern United States. Climatic Chang. 2003, 60:37-71.
201. 2: observations and modeling. Ecol. Eng. 1999, 13:273-286.
202. Tubiello F.N., Rosenzweig C., Goldberg R.A., Jagtap S., Jones J.W. Effects of climate change on us crop production: simulation results using two different gcm scenarios. Part I: wheat, potato, maize, and citrus. Climate Res. 2002, 20:259-270.
203. 2 and water interactions. Agron. J. 1999, 91:247-255.
204. Vashisht B.B., Mulla D.J., Jalota S.K., Kaur S., Kaur H., Singh S. Productivity of rainfed wheat as affected by climate change scenario in Northeastern Punjab, India. Reg. Environ. Chang. 2013, 13:989-998.
205. Vucetic V. Modelling of maize production in Croatia: present and future climate. J. Agricul. Sci. 2011, 149:145-157.
206. Wang H., Cutforth H., McCaig T., McLeod G., Brandt K., Lemke R., Goddard T., Sprout C. Predicting the time to 50% seedling emergence in wheat using a beta model. NJAS - Wagen. J. Life Sci. 2009, 57:65-71.
207. Wang H., Flerchinger G.N., Lemke R., Brandt K., Goddard T., Sprout C. Improving shaw long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada. Can. J. Soil Sci. 2010, 90:37-53.
208. Wang M., Li Y., Ye W., Bornman J.F., Yan X. Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin province, China. Climate Res. 2011, 46:223-242.
209. Wang S.F., Li H.L., Yang Y.H., Wang H.J., Yang Y.M., Jia Y.G. Using dssat model to assess spring wheat and maize water use in the arid oasis of Northwest China. J. Food Agric. Environ. 2012, 10:911-918.
210. Weiss A., Moreno-Sotomayer A. Simulating grain mass and nitrogen concentration in wheat. Eu. J. Agron. 2006, 25:129-137.
211. Weiss A., Piper E.L. Modifying the response to defoliation during vegetative growth in CERES-Maize. Agricul. Syst. 1992, 40:379-392.
212. White J.W., Kimball B.A., Wall G.W., Ottman M.J., Hunt L.A. Responses of time of anthesis and maturity to sowing dates and infrared warming in spring wheat. Field Crops Res. 2011, 124:213-222.
213. Wu Y.H., Sakamoto C.M., Botner D.M. On the application of the CERES-Maize model to the North China plain. Agricul. Forest Meteorol. 1989, 49:9-22.
214. Xevi E., Gilley J., Feyen J. Comparative study of two crop yield simulation models. Agricul. Water Manag. 1996, 30:155-173.
215. Xiao D., Tao F., Liu Y., Shi W., Wang M., Liu F., Zhang S., Zhu Z. Observed changes in winter wheat phenology in the North China plain for 1981-2009. Int. J. Biometeorol. 2013, 57:275-285.
216. Xie Y., Kiniry J.R., Nedbalek V., Rosenthal W.D. Maize and sorghum simulations with CERES-Maize, sorkam, and almanac under water-limiting conditions. Agron. J. 2001, 93:1148-1155.
217. Xiong W., Conway D., Holman I., Lin E. Evaluation of CERES-Wheat simulation of wheat production in China. Agron. J. 2008, 100:1720.
218. Xiong W., Holman I., Conway D., Lin E., Li Y. A crop model cross calibration for use in regional climate impacts studies. Ecol. Model. 2008, 213:365-380.
219. Xiong W., Matthews R., Holman I., Lin E., Xu Y. Modelling china's potential maize production at regional scale under climate change. Climatic Chang. 2007, 85:433-451.
220. Xue Q.W., Weiss A., Baenziger P.S. Predicting phenological development in winter wheat. Climate Res. 2004, 25:243-252.
221. Yang J.M., Yang J.Y., Dou S., Yang X.M., Hoogenboom G. Simulating the effect of long-term fertilization on maize yield and soil C/N dynamics in Northeastern China using dssat and century-based soil model. Nutr. Cycl. Agroecosys. 2013, 95:287-303.
222. Yang Y., Watanabe M., Zhang X., Hao X., Zhang J. Estimation of groundwater use by crop production simulated by dssat-wheat and DSSAT-Maize models in the piedmont region of the North China plain. Hydrol. Processes 2006, 20:2787-2802.
223. Yang Y.H., Watanabe M., Zhang X.Y., Zhang J.Q., Wang Q.X., Hayashi S. Optimizing irrigation management for wheat to reduce groundwater depletion in the piedmont region of the taihang mountains in the North China plain. Agricul. Water Manag. 2006, 82:25-44.
224. Yang Z., Wilkerson G.G., Buol G.S., Bowman D.T., Heiniger R.W. Estimating genetic coefficients for the CSM-CERES-Maize model in North Carolina environments. Agron. J. 2009, 101:1276.
225. Yao F.M., Xu Y.L., Lin E.D., Yokozawa M., Zhang J.H. Assessing the impacts of climate change on rice yields in the main rice areas of China. Climatic Chang. 2007, 80:395-409.
226. Ye L., Xiong W., Li Z., Yang P., Wu W., Yang G., Fu Y., Zou J., Chen Z., Van Ranst E., Tang H. Climate change impact on China food security in 2050. Agron. Sustain. Dev. 2012, 33:363-374.
227. Yun J.I. Predicting regional rice production in South Korea using spatial data and crop-growth modeling. Agricul. Syst. 2003, 77:23-38.
228. Žalud Z., Dubrovský M. Modelling climate change impacts on maize growth and development in the Czech republic. Theor. Appl. Climatol. 2002, 72:85-102.
229. Zhang S., Tao F. Modeling the response of rice phenology to climate change and variability in different climatic zones: comparisons of five models. Eu. J. Agron. 2013, 45:165-176.
230. Zhang W., Ricketts T.H., Kremen C., Carney K., Swinton S.M. Ecosystem services and dis-services to agriculture. Ecol. Econ. 2007, 64:253-260.
231. Zhang X., Wang S., Sun H., Chen S., Shao L., Liu X. Contribution of cultivar, fertilizer and weather to yield variation of winter wheat over three decades: a case study in the North China plain. Eu. J. Agron. 2013, 50:52-59.
232. Zhang X.C., MacKown C.T., Garbrecht J.D., Zhang H., Edwards J.T. Variable environment and market affect optimal nitrogen management in wheat and cattle production systems. Agron. J. 2012, 104:1136.
233. Zhao H., Gao G., Yan X., Zhang Q., Hou M., Zhu Y., Tian Z. Risk assessment of agricultural drought using the CERES-Wheat model: a case study of Henan plain, China. Climate Res. 2011, 50:247-256.