메뉴 건너뛰기




Volumn 81, Issue , 2016, Pages 86-101

Multi-wheat-model ensemble responses to interannual climate variability

(48)  Ruane, Alex C a   Hudson, Nicholas I b   Asseng, Senthold c   Camarrano, Davide c,d   Ewert, Frank e,w   Martre, Pierre f,g   Boote, Kenneth J c   Thorburn, Peter J h   Aggarwal, Pramod K i   Angulo, Carlos e   Basso, Bruno j   Bertuzzi, Patrick k   Biernath, Christian l   Brisson, Nadine m   Challinor, Andrew J n,o   Doltra, Jordi p   Gayler, Sebastian q   Goldberg, Richard b   Grant, Robert F r   Heng, Lee s   more..


Author keywords

AgMIP; Climate impacts; Crop modeling; Interannual variability; Multi model ensemble; Precipitation; Temperature; Uncertainty; Wheat

Indexed keywords

CLIMATE CHANGE; PRECIPITATION (CHEMICAL); TEMPERATURE; UNCERTAINTY ANALYSIS;

EID: 84961956344     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2016.03.008     Document Type: Article
Times cited : (53)

References (108)
  • 1
    • 33645794535 scopus 로고    scopus 로고
    • InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model
    • Aggarwal P., Banerjee B., Daryaei M., Bhatia A., Bala A., Rani S., Chander S., Pathak H., Kalra N. InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model. Agric. Syst. 2006, 89:47-67. 10.1016/j.agsy.2005.08.003.
    • (2006) Agric. Syst. , vol.89 , pp. 47-67
    • Aggarwal, P.1    Banerjee, B.2    Daryaei, M.3    Bhatia, A.4    Bala, A.5    Rani, S.6    Chander, S.7    Pathak, H.8    Kalra, N.9
  • 3
    • 84872934055 scopus 로고    scopus 로고
    • Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe
    • Angulo C., Rötter R., Lock R., Enders A., Fronzek S., Ewert F. Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe. Agric. For. Meteorol. 2013, 170:32-46.
    • (2013) Agric. For. Meteorol. , vol.170 , pp. 32-46
    • Angulo, C.1    Rötter, R.2    Lock, R.3    Enders, A.4    Fronzek, S.5    Ewert, F.6
  • 5
    • 0033957418 scopus 로고    scopus 로고
    • Performance and application of the APSIM Nwheat model in the Netherlands
    • Asseng S., van Keulen H., Stol W. Performance and application of the APSIM Nwheat model in the Netherlands. Eur. J. Agron. 2000, 12:37-54.
    • (2000) Eur. J. Agron. , vol.12 , pp. 37-54
    • Asseng, S.1    van Keulen, H.2    Stol, W.3
  • 6
    • 1242345246 scopus 로고    scopus 로고
    • Simulated wheat growth affected by rising temperature, increased water deficit and elevated atmospheric CO2
    • Asseng S., Jamieson P.D., Kimball B., Pinter P., Sayre K., Bowden J.W., Howden S.M. Simulated wheat growth affected by rising temperature, increased water deficit and elevated atmospheric CO2. Field Crops Res. 2004, 85:85-102.
    • (2004) Field Crops Res. , vol.85 , pp. 85-102
    • Asseng, S.1    Jamieson, P.D.2    Kimball, B.3    Pinter, P.4    Sayre, K.5    Bowden, J.W.6    Howden, S.M.7
  • 10
    • 77955570661 scopus 로고    scopus 로고
    • Long-term wheat response to nitrogen in a rainfed Mediterranean environment: field data and simulation analysis
    • Basso B., Cammarano D., Troccoli A., Chen D., Ritchie J. Long-term wheat response to nitrogen in a rainfed Mediterranean environment: field data and simulation analysis. Eur. J. Agron. 2010, 33:132-138. 10.1016/j.eja.2010.04.004.
    • (2010) Eur. J. Agron. , vol.33 , pp. 132-138
    • Basso, B.1    Cammarano, D.2    Troccoli, A.3    Chen, D.4    Ritchie, J.5
  • 12
    • 0242417159 scopus 로고    scopus 로고
    • Evaluating nitrogen taxation scenarios using the dynamic whole farm simulation model FASSET
    • Berntsen J., Petersen B., Jacobsen B., Olesen J., Hutchings N. Evaluating nitrogen taxation scenarios using the dynamic whole farm simulation model FASSET. Agric. Syst. 2003, 76:817-839. 10.1016/S0308-521X(02)00111-7.
    • (2003) Agric. Syst. , vol.76 , pp. 817-839
    • Berntsen, J.1    Petersen, B.2    Jacobsen, B.3    Olesen, J.4    Hutchings, N.5
  • 13
    • 79957738054 scopus 로고    scopus 로고
    • Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers
    • Biernath C., Gayler S., Bittner S., Klein C., Hogy 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. Eur. J. Agron. 2011, 35:71-82. 10.1016/j.eja.2011.04.001.
    • (2011) Eur. J. Agron. , vol.35 , pp. 71-82
    • Biernath, C.1    Gayler, S.2    Bittner, S.3    Klein, C.4    Hogy, P.5    Fangmeier, A.6    Priesack, E.7
  • 19
    • 2942746674 scopus 로고    scopus 로고
    • Design and optimisation of a large-area process-based model for annual crops
    • Challinor A., Wheeler T., Craufurd P., Slingo J., Grimes D. Design and optimisation of a large-area process-based model for annual crops. Agric. For. Meteorol. 2004, 124:99-120. 10.1016/j.agrformet.2004.01.002.
    • (2004) Agric. For. Meteorol. , vol.124 , pp. 99-120
    • Challinor, A.1    Wheeler, T.2    Craufurd, P.3    Slingo, J.4    Grimes, D.5
  • 20
    • 84897066219 scopus 로고    scopus 로고
    • A meta-analysis of crop yield under climate change and adaptation
    • Challinor A.J., et al. A meta-analysis of crop yield under climate change and adaptation. Nat. Clim. Change 2014, 4(4):287-291. 10.1038/NCLIMATE2153.
    • (2014) Nat. Clim. Change , vol.4 , Issue.4 , pp. 287-291
    • Challinor, A.J.1
  • 22
    • 0033944292 scopus 로고    scopus 로고
    • Reversal of rice yield decline in a long-term continuous cropping experiment
    • Dobermann A., Dawe D., Rötter R.P., Cassman K.G. Reversal of rice yield decline in a long-term continuous cropping experiment. Agron. J. 2000, 92:633-643.
    • (2000) Agron. J. , vol.92 , pp. 633-643
    • Dobermann, A.1    Dawe, D.2    Rötter, R.P.3    Cassman, K.G.4
  • 23
    • 77951103693 scopus 로고    scopus 로고
    • A component-based framework for simulating agricultural production and externalities
    • Donatelli M., et al. A component-based framework for simulating agricultural production and externalities. Environ. Agric. Model. Integr. Approaches For Policy Impact Assess. 2010, 63-108. 10.1007/978-90-481-3619-3_4.
    • (2010) Environ. Agric. Model. Integr. Approaches For Policy Impact Assess. , pp. 63-108
    • Donatelli, M.1
  • 25
    • 0033382588 scopus 로고    scopus 로고
    • Yield potential: its definition, measurement, and significance
    • Evans L.T., Fischer R.A. Yield potential: its definition, measurement, and significance. Crop Sci. 1999, 39:1544-1551.
    • (1999) Crop Sci. , vol.39 , pp. 1544-1551
    • Evans, L.T.1    Fischer, R.A.2
  • 29
    • 77950326782 scopus 로고    scopus 로고
    • Virtual water content of temperate cereals and maize: present and potential future patterns
    • Fader M., Rost S., Muller C., Bondeau A., Gerten D. Virtual water content of temperate cereals and maize: present and potential future patterns. J. Hydrol. 2010, 384:218-231. 10.1016/j.jhydro1.2009.12.011.
    • (2010) J. Hydrol. , vol.384 , pp. 218-231
    • Fader, M.1    Rost, S.2    Muller, C.3    Bondeau, A.4    Gerten, D.5
  • 30
    • 77956876971 scopus 로고    scopus 로고
    • Sowing date and nitrogen fertilisation effects on dry matter and nitrogen dynamics for durum wheat: an experimental and simulation study
    • Ferrise R., Triossi A., Stratonovitch P., Bindi M., Martre P. Sowing date and nitrogen fertilisation effects on dry matter and nitrogen dynamics for durum wheat: an experimental and simulation study. Field Crops Res. 2010, 117:245-257.
    • (2010) Field Crops Res. , vol.117 , pp. 245-257
    • Ferrise, R.1    Triossi, A.2    Stratonovitch, P.3    Bindi, M.4    Martre, P.5
  • 31
    • 0003694670 scopus 로고
    • Kluwer Academic Publishers, Dordrecht, The Netherlands, J. Goudriaan, H.H. Van Laar (Eds.)
    • Modelling Potential Crop Growth Processes. Textbook with Exercises 1994, 238. Kluwer Academic Publishers, Dordrecht, The Netherlands. J. Goudriaan, H.H. Van Laar (Eds.).
    • (1994) Modelling Potential Crop Growth Processes. Textbook with Exercises , pp. 238
  • 32
    • 84961680191 scopus 로고    scopus 로고
    • Evaluating the reliability of reanalysis as a substitute for observational data in large-scale agricultural assessments
    • Glotter M.J., Ruane A.C., Moyer E.J., Elliott J.W. Evaluating the reliability of reanalysis as a substitute for observational data in large-scale agricultural assessments. J. Appl. Meteorol. Climatol. 2016, 55(3):579-594. 10.1175/JAMC-D-15-0120.1.
    • (2016) J. Appl. Meteorol. Climatol. , vol.55 , Issue.3 , pp. 579-594
    • Glotter, M.J.1    Ruane, A.C.2    Moyer, E.J.3    Elliott, J.W.4
  • 33
    • 80455168558 scopus 로고    scopus 로고
    • Controlled warming effects on wheat growth and yield: field measurements and modeling
    • Grant R., Kimball B., Conley M., White J., Wall G., Ottman M. Controlled warming effects on wheat growth and yield: field measurements and modeling. Agron. J. 2011, 103:1742-1754. 10.2134/agronj2011.0158.
    • (2011) Agron. J. , vol.103 , pp. 1742-1754
    • Grant, R.1    Kimball, B.2    Conley, M.3    White, J.4    Wall, G.5    Ottman, M.6
  • 35
    • 77954960569 scopus 로고    scopus 로고
    • Global sensitivity analysis of the process-based wheat simulation model SiriusQuality1 identifies key genotypic parameters and unravels parameters interactions
    • He J., Stratonovitch P., Allard V., Semenov M.A., Martre P. Global sensitivity analysis of the process-based wheat simulation model SiriusQuality1 identifies key genotypic parameters and unravels parameters interactions. Proc. Soc. Behav. Sci. 2010, 2:7676-7677.
    • (2010) Proc. Soc. Behav. Sci. , vol.2 , pp. 7676-7677
    • He, J.1    Stratonovitch, P.2    Allard, V.3    Semenov, M.A.4    Martre, P.5
  • 36
    • 0037269419 scopus 로고    scopus 로고
    • Improving physiological assumptions of simulation models by using gene-based approaches
    • Hoogenboom G., White J. Improving physiological assumptions of simulation models by using gene-based approaches. Agron. J. 2003, 95:82-89.
    • (2003) Agron. J. , vol.95 , pp. 82-89
    • Hoogenboom, G.1    White, J.2
  • 37
    • 0028982663 scopus 로고
    • CROPSIM-wheat - a model describing the growth and development of wheat
    • Hunt L.A., Pararajasingham S. CROPSIM-wheat - a model describing the growth and development of wheat. Can. J. Plant Sci. 1995, 75:619-632.
    • (1995) Can. J. Plant Sci. , vol.75 , pp. 619-632
    • Hunt, L.A.1    Pararajasingham, S.2
  • 38
    • 0034730832 scopus 로고    scopus 로고
    • Modelling nitrogen uptake and redistribution in wheat
    • Jamieson P., Semenov M. Modelling nitrogen uptake and redistribution in wheat. Field Crops Res. 2000, 68:21-29. 10.1016/S0378-4290(00)00103-9.
    • (2000) Field Crops Res. , vol.68 , pp. 21-29
    • Jamieson, P.1    Semenov, M.2
  • 39
    • 0031597355 scopus 로고    scopus 로고
    • Sirius: a mechanistic model of wheat response to environmental variation
    • Jamieson P., Semenov M., Brooking I., Francis G. Sirius: a mechanistic model of wheat response to environmental variation. Eur. J. Agron. 1998, 8:161-179. 10.1016/S1161-0301(98)00020-3.
    • (1998) Eur. J. Agron. , vol.8 , pp. 161-179
    • Jamieson, P.1    Semenov, M.2    Brooking, I.3    Francis, G.4
  • 41
    • 0037232266 scopus 로고    scopus 로고
    • An overview of APSIM, a model designed for farming systems simulation
    • Keating B.A., et al. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 2003, 18:267-288.
    • (2003) Eur. J. Agron. , vol.18 , pp. 267-288
    • Keating, B.A.1
  • 42
    • 0029503212 scopus 로고
    • Application of a simple management model to simulate water and nitrogen dynamics
    • Kersebaum K. Application of a simple management model to simulate water and nitrogen dynamics. Ecol. Model. 1995, 81:145-156.
    • (1995) Ecol. Model. , vol.81 , pp. 145-156
    • Kersebaum, K.1
  • 43
    • 33846443235 scopus 로고    scopus 로고
    • Modelling nitrogen dynamics in soil-crop systems with HERMES
    • Kersebaum K. Modelling nitrogen dynamics in soil-crop systems with HERMES. Nutrient Cycl. Agroecosyst. 2007, 77:39-52. 10.1007/s10705-006-9044-8.
    • (2007) Nutrient Cycl. Agroecosyst. , vol.77 , pp. 39-52
    • Kersebaum, K.1
  • 49
    • 79955093840 scopus 로고    scopus 로고
    • Winter wheat yield response to climate variability in Denmark
    • Kristensen K., Schelde K., Olesen J.E. Winter wheat yield response to climate variability in Denmark. J. Agric. Sci. 2011, 149:33-47.
    • (2011) J. Agric. Sci. , vol.149 , pp. 33-47
    • Kristensen, K.1    Schelde, K.2    Olesen, J.E.3
  • 50
    • 0042267294 scopus 로고    scopus 로고
    • Long-term comparison of rotation and fallow tillage systems of wheat in Australia
    • Latta J., O'Leary G. Long-term comparison of rotation and fallow tillage systems of wheat in Australia. Field Crops Res. 2003, 83:173-190. 10.1016/S0378-4290(03)00073-X.
    • (2003) Field Crops Res. , vol.83 , pp. 173-190
    • Latta, J.1    O'Leary, G.2
  • 51
    • 10444277361 scopus 로고    scopus 로고
    • A wheat canopy model linking leaf area and phenology
    • Lawless C., Semenov M., Jamieson P. A wheat canopy model linking leaf area and phenology. Eur. J. Agron. 2005, 22:19-32. 10.1016/j.eja.2003.11.004.
    • (2005) Eur. J. Agron. , vol.22 , pp. 19-32
    • Lawless, C.1    Semenov, M.2    Jamieson, P.3
  • 52
    • 79952396599 scopus 로고    scopus 로고
    • Simulating the impacts of global warming on wheat in China using a large area crop model
    • Li S., Wheeler T., Challinor A., Lin E., Xu Y., Ju H. Simulating the impacts of global warming on wheat in China using a large area crop model. Acta Meteorol. Sin. 2010, 24:123-135.
    • (2010) Acta Meteorol. Sin. , vol.24 , pp. 123-135
    • Li, S.1    Wheeler, T.2    Challinor, A.3    Lin, E.4    Xu, Y.5    Ju, H.6
  • 54
    • 84882734955 scopus 로고    scopus 로고
    • Warming and nitrogen fertilization effects on winter wheat yields in northern China varied between four years
    • Liu L., Hu C., Olesen J.E., Ju Z., Yang P., Zhang Y. Warming and nitrogen fertilization effects on winter wheat yields in northern China varied between four years. Field Crops Res. 2013, 151:56-64.
    • (2013) Field Crops Res. , vol.151 , pp. 56-64
    • Liu, L.1    Hu, C.2    Olesen, J.E.3    Ju, Z.4    Yang, P.5    Zhang, Y.6
  • 55
    • 77956883074 scopus 로고    scopus 로고
    • On the use of statistical models to predict crop yield responses to climate change
    • Lobell D.B., Burke M.B. On the use of statistical models to predict crop yield responses to climate change. Agric. For. Meteorol. 2010, 150:1443-1452.
    • (2010) Agric. For. Meteorol. , vol.150 , pp. 1443-1452
    • Lobell, D.B.1    Burke, M.B.2
  • 56
    • 84857617575 scopus 로고    scopus 로고
    • Extreme heat effects on wheat senescence in India
    • Lobell D.B., Sibley A., Ortiz-Monasterio J.I. Extreme heat effects on wheat senescence in India. Nat. Clim. Change 2012, 2:186-189. 10.1038/NCLIMATE1356.
    • (2012) Nat. Clim. Change , vol.2 , pp. 186-189
    • Lobell, D.B.1    Sibley, A.2    Ortiz-Monasterio, J.I.3
  • 58
    • 84923027677 scopus 로고    scopus 로고
    • Multimodel ensembles of wheat growth: many models are better than one. Glob
    • Martre P., et al. Multimodel ensembles of wheat growth: many models are better than one. Glob. Glob. Change Biol 2015, 21:911-925. 10.1111/gcb.12768.
    • (2015) Glob. Change Biol , vol.21 , pp. 911-925
    • Martre, P.1
  • 59
    • 0035128477 scopus 로고    scopus 로고
    • Developing genetic coefficients for crop simulation models with data from crop performance trials
    • Mavromatis, T., Boote, K.J., Jones, J.W., Irmak, A., Shinde, D. Developing genetic coefficients for crop simulation models with data from crop performance trials. Crop Sci. 41 2001, 41:40-51.
    • (2001) Crop Sci. 41 , vol.41 , pp. 40-51
    • Mavromatis, T.1    Boote, K.J.2    Jones, J.W.3    Irmak, A.4    Shinde, D.5
  • 61
    • 79953297665 scopus 로고    scopus 로고
    • The MONICA model: testing predictability for crop growth, soil moisture and nitrogen dynamics
    • Nendel C., Berg M., Kersebaum K., Mirschel W., Specka X., Wegehenkel M., Wenkel K., Wieland R. The MONICA model: testing predictability for crop growth, soil moisture and nitrogen dynamics. Ecol. Model. 2011, 222:1614-1625. 10.1016/j.ecolmodel.2011.02.018.
    • (2011) Ecol. Model. , vol.222 , pp. 1614-1625
    • Nendel, C.1    Berg, M.2    Kersebaum, K.3    Mirschel, W.4    Specka, X.5    Wegehenkel, M.6    Wenkel, K.7    Wieland, R.8
  • 62
    • 0030240438 scopus 로고    scopus 로고
    • A simulation model of the wheat crop in response to water and nitrogen supply .1. Model construction
    • O'Leary G., Connor D. A simulation model of the wheat crop in response to water and nitrogen supply .1. Model construction. Agric. Syst. 1996, 52:1-29. 10.1016/0308-521X(96)00003-0.
    • (1996) Agric. Syst. , vol.52 , pp. 1-29
    • O'Leary, G.1    Connor, D.2
  • 63
    • 0030239954 scopus 로고    scopus 로고
    • A simulation model of the wheat crop in response to water and nitrogen supply .2. Model validation
    • O'Leary G., Connor D. A simulation model of the wheat crop in response to water and nitrogen supply .2. Model validation. Agric. Syst. 1996, 52:31-55. 10.1016/0308-521X(96)00002-9.
    • (1996) Agric. Syst. , vol.52 , pp. 31-55
    • O'Leary, G.1    Connor, D.2
  • 64
    • 0022179862 scopus 로고
    • A simulation-model of the development, growth and yield of the wheat crop
    • O'Leary G., Connor D., White D. A simulation-model of the development, growth and yield of the wheat crop. Agric. Syst. 1985, 17:1-26. 10.1016/0308-521X(85)90019-8.
    • (1985) Agric. Syst. , vol.17 , pp. 1-26
    • O'Leary, G.1    Connor, D.2    White, D.3
  • 65
    • 0037086538 scopus 로고    scopus 로고
    • Comparison of methods for simulating effects of nitrogen on green area index and dry matter growth in winter wheat
    • Olesen J., Petersen B., Berntsen J., Hansen S., Jamieson P., Thomsen A. Comparison of methods for simulating effects of nitrogen on green area index and dry matter growth in winter wheat. Field Crops Res. 2002, 74:131-149. 10.1016/S0378-4290(01)00204-0.
    • (2002) Field Crops Res. , vol.74 , pp. 131-149
    • Olesen, J.1    Petersen, B.2    Berntsen, J.3    Hansen, S.4    Jamieson, P.5    Thomsen, A.6
  • 66
    • 79960617267 scopus 로고    scopus 로고
    • Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models
    • Palosuo T., et al. Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. Eur. J. Agron. 2011, 35:103-114. 10.1016/j.eja.2011.05.001.
    • (2011) Eur. J. Agron. , vol.35 , pp. 103-114
    • Palosuo, T.1
  • 67
    • 0032120197 scopus 로고    scopus 로고
    • Evaluation and improvement of crop models using regional cultivar trial data
    • Piper E.L., Boote K.J., Jones J.W. Evaluation and improvement of crop models using regional cultivar trial data. Appl. Eng. Agric. 1998, 14(4):435-446.
    • (1998) Appl. Eng. Agric. , vol.14 , Issue.4 , pp. 435-446
    • Piper, E.L.1    Boote, K.J.2    Jones, J.W.3
  • 69
    • 0029503081 scopus 로고
    • Non-linearity in climate change impact assessments
    • Porter J.R., Semenov M.A. Non-linearity in climate change impact assessments. J. Biogeogr. 1995, 22(4/5):597-600.
    • (1995) J. Biogeogr. , vol.22 , Issue.4-5 , pp. 597-600
    • Porter, J.R.1    Semenov, M.A.2
  • 71
    • 84961921966 scopus 로고    scopus 로고
    • Chapter 7 of the Working Group 2 contribution to the Intergovernmental Panel on Climate Change Fifth Assessment Report
    • Porter J.R., Xie L., et al. Food Security and Food Production Systems 2014, 82. Chapter 7 of the Working Group 2 contribution to the Intergovernmental Panel on Climate Change Fifth Assessment Report.
    • (2014) Food Security and Food Production Systems , pp. 82
    • Porter, J.R.1    Xie, L.2
  • 72
    • 33747483757 scopus 로고    scopus 로고
    • The impact of crop growth sub-model choice on simulated water and nitrogen balances
    • Priesack E., Gayler S., Hartmann H. The impact of crop growth sub-model choice on simulated water and nitrogen balances. Nutrient Cycl. Agroecosyst. 2006, 75:1-13. 10.1007/s107500-006-9006-1.
    • (2006) Nutrient Cycl. Agroecosyst. , vol.75 , pp. 1-13
    • Priesack, E.1    Gayler, S.2    Hartmann, H.3
  • 73
    • 84930483345 scopus 로고    scopus 로고
    • Climate variation explains a third of global crop yield variability
    • Ray D.K., Gerber J.S., MacDonald G.K., West P.C. Climate variation explains a third of global crop yield variability. Nat. Commun. 2015, 6. 10.1038/ncomms6989.
    • (2015) Nat. Commun. , vol.6
    • Ray, D.K.1    Gerber, J.S.2    MacDonald, G.K.3    West, P.C.4
  • 76
    • 84961921950 scopus 로고
    • Genetic diversity in photosynthesis and water-use efficiency of wheat and wheat relatives
    • 43-43
    • Ritchie S., Nguyen H., Holaday A. Genetic diversity in photosynthesis and water-use efficiency of wheat and wheat relatives. J. Cell. Biochem. 1987, 43-43.
    • (1987) J. Cell. Biochem.
    • Ritchie, S.1    Nguyen, H.2    Holaday, A.3
  • 77
    • 84989964100 scopus 로고    scopus 로고
    • The agricultural model intercomparison and improvement project: phase I activities by a global community of science
    • Imperial College Press, C. Rosenzweig, D. Hillel (Eds.) Handbook of Climate Change and Agroecosystems: the Agricultural Model Intercomparison and Improvement Project (AgMIP)
    • Rosenzweig C., Jones J.W., Hatfield J.L., Antle J.M., Ruane A.C., Mutter C.Z. The agricultural model intercomparison and improvement project: phase I activities by a global community of science. ICP Series on Climate Change Impacts, Adaptation, and Mitigation 2015, vol. 3:3-24. Imperial College Press. http://dx.doi.org/10.1142/9781783265640_0001, C. Rosenzweig, D. Hillel (Eds.).
    • (2015) ICP Series on Climate Change Impacts, Adaptation, and Mitigation , vol.3 , pp. 3-24
    • Rosenzweig, C.1    Jones, J.W.2    Hatfield, J.L.3    Antle, J.M.4    Ruane, A.C.5    Mutter, C.Z.6
  • 79
    • 84895794881 scopus 로고    scopus 로고
    • Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison
    • Rosenzweig C., Elliott J., Deryng D., Ruane A.C., Müller C., et al. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Natl. Acad. Sci. 2014, 111:3268-3273. 10.1073/pnas.1222463110.
    • (2014) Proc. Natl. Acad. Sci. , vol.111 , pp. 3268-3273
    • Rosenzweig, C.1    Elliott, J.2    Deryng, D.3    Ruane, A.C.4    Müller, C.5
  • 82
    • 84891662308 scopus 로고    scopus 로고
    • Carbon-temperature-water change analysis for peanut production under climate change: a prototype for the AgMIP coordinated climate-crop modeling project (C3MP)
    • Ruane A.C., McDermid S., Rosenzweig C., Baigorria G.A., Jones J.W., Romero C.C., Cecil L.D. Carbon-temperature-water change analysis for peanut production under climate change: a prototype for the AgMIP coordinated climate-crop modeling project (C3MP). Glob. Change Biol. 2014, 20:394-407. 10.1111/gcb.12412.
    • (2014) Glob. Change Biol. , vol.20 , pp. 394-407
    • Ruane, A.C.1    McDermid, S.2    Rosenzweig, C.3    Baigorria, G.A.4    Jones, J.W.5    Romero, C.C.6    Cecil, L.D.7
  • 83
    • 84859603168 scopus 로고    scopus 로고
    • Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe
    • Semenov M.A., Shewry P.R. Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe. Nat. Sci. Rep. 2011, 1:66. 10.1038/srep00066.
    • (2011) Nat. Sci. Rep. , vol.1 , pp. 66
    • Semenov, M.A.1    Shewry, P.R.2
  • 84
    • 70349246303 scopus 로고    scopus 로고
    • Characterising rice-based farming systems to identify opportunities for adopting water efficient cultivation methods in Tamil Nadu, India
    • Senthilkumar K., Bindraban P., de Boer W., de Ridder N., Thiyagarajan T., Giller K. Characterising rice-based farming systems to identify opportunities for adopting water efficient cultivation methods in Tamil Nadu, India. Agric. Water Manag. 2009, 96:1851-1860. 10.1016/j.agwat.2009.08.007.
    • (2009) Agric. Water Manag. , vol.96 , pp. 1851-1860
    • Senthilkumar, K.1    Bindraban, P.2    de Boer, W.3    de Ridder, N.4    Thiyagarajan, T.5    Giller, K.6
  • 85
    • 77949269039 scopus 로고    scopus 로고
    • LINTUL3, a simulation model for nitrogen-limited situations: application to rice
    • Shibu M., Leffelaar P., van Keulen H., Aggarwal P. LINTUL3, a simulation model for nitrogen-limited situations: application to rice. Eur. J. Agron. 2010, 32:255-271. 10.1016/j.eja.2010.01.003.
    • (2010) Eur. J. Agron. , vol.32 , pp. 255-271
    • Shibu, M.1    Leffelaar, P.2    van Keulen, H.3    Aggarwal, P.4
  • 86
    • 33646681247 scopus 로고    scopus 로고
    • Decline in rice grain yields with temperature: models and correlations can give different estimates
    • Sheehy J.E., Mitchell P.L., Ferrer A.B. Decline in rice grain yields with temperature: models and correlations can give different estimates. Field Crops Res 2006, 98:151-156.
    • (2006) Field Crops Res , vol.98 , pp. 151-156
    • Sheehy, J.E.1    Mitchell, P.L.2    Ferrer, A.B.3
  • 87
    • 84907072578 scopus 로고    scopus 로고
    • Predicting climate change impacts on sugarcane production at sites in Australia, Brazil and South Africa using the Canegro model
    • Singels A., Jones M., Marin F., Ruane A.C., Thorburn P. Predicting climate change impacts on sugarcane production at sites in Australia, Brazil and South Africa using the Canegro model. Sugar Tech. 2013, 10.1007/s12355-013-0274-1.
    • (2013) Sugar Tech.
    • Singels, A.1    Jones, M.2    Marin, F.3    Ruane, A.C.4    Thorburn, P.5
  • 89
    • 33845693863 scopus 로고
    • Evaluation of breeding strategies for drought tolerance in potato by means of crop growth simulation
    • Spitters C.J.T., Schapendonk A.H.C.M. Evaluation of breeding strategies for drought tolerance in potato by means of crop growth simulation. Plant Soil 1990, 123:193-203.
    • (1990) Plant Soil , vol.123 , pp. 193-203
    • Spitters, C.J.T.1    Schapendonk, A.H.C.M.2
  • 92
    • 65849155515 scopus 로고    scopus 로고
    • AquaCrop-The FAO crop model to simulate yield response to water: I. Concepts and underlying principles
    • Steduto P., Hsiao T., Raes D., Fereres E. AquaCrop-The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron. J. 2009, 101:426-437. 10.2134/agronj2008.0139s.
    • (2009) Agron. J. , vol.101 , pp. 426-437
    • Steduto, P.1    Hsiao, T.2    Raes, D.3    Fereres, E.4
  • 94
    • 0037232380 scopus 로고    scopus 로고
    • CropSyst, a cropping systems simulation model
    • Stockle C., Donatelli M., Nelson R. CropSyst, a cropping systems simulation model. Eur. J. Agron. 2003, 18:289-307. PII S1161-0301(02)00109-0.
    • (2003) Eur. J. Agron. , vol.18 , pp. 289-307
    • Stockle, C.1    Donatelli, M.2    Nelson, R.3
  • 96
    • 77955578221 scopus 로고    scopus 로고
    • Adaptation of maize production to climate change in North China Plain: quantify the relative contributions of adaptation options
    • Tao F., Zhang Z. Adaptation of maize production to climate change in North China Plain: quantify the relative contributions of adaptation options. Eur. J. Agron. 2010, 33:103-116. 10.1016/j.eja.2010.04.002.
    • (2010) Eur. J. Agron. , vol.33 , pp. 103-116
    • Tao, F.1    Zhang, Z.2
  • 97
    • 84861657665 scopus 로고    scopus 로고
    • Climate change, wheat productivity and water use in the North China Plain: a new super-ensemble-based probabilistic projection
    • Tao F., Zhang Z. Climate change, wheat productivity and water use in the North China Plain: a new super-ensemble-based probabilistic projection. Agric. For. Meteorol. 2011, ISSN 0168-1923.
    • (2011) Agric. For. Meteorol.
    • Tao, F.1    Zhang, Z.2
  • 98
    • 59349100515 scopus 로고    scopus 로고
    • Modelling the impacts of weather and climate variability on crop productivity over a large area: a new process-based model development, optimization, and uncertainties analysis
    • Tao F., Yokozawa M., Zhang Z. Modelling the impacts of weather and climate variability on crop productivity over a large area: a new process-based model development, optimization, and uncertainties analysis. Agric. For. Meteorol. 2009, 149:831-850. 10.1016/j.agrformet.2008.11.004.
    • (2009) Agric. For. Meteorol. , vol.149 , pp. 831-850
    • Tao, F.1    Yokozawa, M.2    Zhang, Z.3
  • 99
    • 67349163244 scopus 로고    scopus 로고
    • Modelling the impacts of weather and climate variability on crop productivity over a large area: a new super-ensemble-based probabilistic projection
    • Tao F., Zhang Z., Liu J., Yokozawa M. Modelling the impacts of weather and climate variability on crop productivity over a large area: a new super-ensemble-based probabilistic projection. Agric. For. Meteorol. 2009, 149:1266-1278. 10.1016/j.agrformet.2009.02.015.
    • (2009) Agric. For. Meteorol. , vol.149 , pp. 1266-1278
    • Tao, F.1    Zhang, Z.2    Liu, J.3    Yokozawa, M.4
  • 101
    • 84898928339 scopus 로고    scopus 로고
    • Subseasonal to seasonal prediction project: bridging the gap between weather and climate
    • Vitart F., Robertson A.W., Anderson D.L.T. Subseasonal to seasonal prediction project: bridging the gap between weather and climate. WMO Bull. 2012, 61(2):23-28.
    • (2012) WMO Bull. , vol.61 , Issue.2 , pp. 23-28
    • Vitart, F.1    Robertson, A.W.2    Anderson, D.L.T.3
  • 102
    • 84855562496 scopus 로고    scopus 로고
    • Climate-driven simulation of global crop sowing dates
    • Waha K., van Bussel L.G.J., Müller C., Bondeau A. Climate-driven simulation of global crop sowing dates. Glob. Ecol. Biogeogr. 2012, 21:247-259. 10.1111/j.1466-8238.2011.00678.x.
    • (2012) Glob. Ecol. Biogeogr. , vol.21 , pp. 247-259
    • Waha, K.1    van Bussel, L.G.J.2    Müller, C.3    Bondeau, A.4
  • 103
    • 84961929196 scopus 로고    scopus 로고
    • Uncertainty in agricultural impact assessment
    • Imperial College Press, C. Rosenzweig, D. Hillel (Eds.) Handbook of Climate Change and Agroecosystems: the Agricultural Model Intercomparison and Improvement Project (AgMIP)
    • Wallach D., Mearns L.O., Rivington M., Antle J.M., Ruane A.C. Uncertainty in agricultural impact assessment. ICP Series on Climate Change Impacts, Adaptation, and Mitigation 2015, vol. 3:223-260. Imperial College Press. 10.1142/9781783265640_0009. C. Rosenzweig, D. Hillel (Eds.).
    • (2015) ICP Series on Climate Change Impacts, Adaptation, and Mitigation , vol.3 , pp. 223-260
    • Wallach, D.1    Mearns, L.O.2    Rivington, M.3    Antle, J.M.4    Ruane, A.C.5
  • 104
    • 0034122754 scopus 로고    scopus 로고
    • SPASS: a generic process-oriented crop model with versatile windows interfaces
    • Wang E., Engel T. SPASS: a generic process-oriented crop model with versatile windows interfaces. Environ. Model. Softw. 2000, 15:179-188.
    • (2000) Environ. Model. Softw. , vol.15 , pp. 179-188
    • Wang, E.1    Engel, T.2
  • 105
    • 80052809575 scopus 로고    scopus 로고
    • Methodologies for simulating impacts of climate change on crop production
    • White J.W., Hoogenboom G., Kimball B.A., Wall G.W. Methodologies for simulating impacts of climate change on crop production. Field Crops Res. 2011, 124:357-368.
    • (2011) Field Crops Res. , vol.124 , pp. 357-368
    • White, J.W.1    Hoogenboom, G.2    Kimball, B.A.3    Wall, G.W.4
  • 106
    • 79960687094 scopus 로고    scopus 로고
    • Evaluation of satellite-based, modeled-derived daily solar radiation data for the Continental United States
    • White J.W., Hoogenboom G., Wilkens P.W., Stackhouse P.W., Hoel J.M. Evaluation of satellite-based, modeled-derived daily solar radiation data for the Continental United States. Agron. J. 2011, 103(4):1242-1251. 10.2134/agronj2011.0038.
    • (2011) Agron. J. , vol.103 , Issue.4 , pp. 1242-1251
    • White, J.W.1    Hoogenboom, G.2    Wilkens, P.W.3    Stackhouse, P.W.4    Hoel, J.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.