Predicting Climate Change Impacts on Sugarcane Production at Sites in Australia, Brazil and South Africa Using the Canegro Model

Sugar Tech

Volumn 16, Issue 4, 2014, Pages 347-355

  Singels, Abraham ^a   Jones, Matthew ^a   Marin, Fabio ^b   Ruane, Alexander ^c   Thorburn, Peter ^d  

^a SOUTH AFRICAN SUGARCANE RESEARCH INSTITUTE   (South Africa)

^b EMBRAPA INFORMÁTICA AGROPECUÁRIA   (Brazil)

^c NASA GODDARD INSTITUTE FOR SPACE STUDIES   (United States)

^d CSIRO   (Australia)

Author keywords

Cane yield; Canopy cover; Climate change; Crop model; Global climate model

Indexed keywords

EID: 84907072578     PISSN: 09721525     EISSN: 09740740     Source Type: Journal    
DOI: 10.1007/s12355-013-0274-1     Document Type: Article

References (23)

1. Biggs, J.S., P.J. Thorburn, S.J. Crimp, B. Masters, and S.J. Attard. 2013. Interactions between climate change and sugarcane management systems for improving water quality leaving farms in the Mackay-Whitsunday region, Australia. Agriculture, Ecosystems and Environment, in press (doi:10.1016/j.agee.2011.11.00).
2. Boote, K.J., L.H. Jr Allen, P.V.V. Prasad, and J.W. Jones. 2010. Testing effects of climate change in crop models. In Handbook of Climate Change and Agro-ecosystems: Impacts, Adaptation, and Mitigation, eds. Daniel Hillel and Cynthia Rosenzweig. ICP Series on Climate Change Impacts, Adaptation, and Mitigation 1: 109–129. London: Imperial College Press.
3. Cheeroo-Nayamuth, F.B., and R.A.H. Nayamuth. 2001. Climate change and sucrose production in Mauritius. Proceedings of the International Society of Sugar Cane Technologists 24: 107–112.
4. 2 increases photosynthesis, biomass and productivity, and modifies gene expression in sugarcane. Plant, Cell and Environment 31: 1116–1127.
5. Inman-Bamber, N.G. 1991. A growth model for sugar-cane based on a simple carbon balance and the CERES-Maize water balance. South African Journal of Plant and Soil 8: 93–99.
6. Inman-Bamber, N.G. 1994. Temperature and seasonal effects on canopy development and light interception of sugarcane. Field Crops Research 36: 41–51.
7. IPCC SRES. 2000. Special Report on Emissions Scenarios: A special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. ISBN 0-521-80081-1.
8. Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, and J.T. Ritchie. 2003. The DSSAT cropping system model. European Journal of Agronomy 18: 235–265.
9. Keating, B.A., M.J. Robertson, and R.C. Muchow. 1999. Modeling sugarcane production systems I. Development and performance of the sugarcane module. Field Crops Research 61: 253–271.
10. Knox, J.W., J.A. Rodríguez Díaz, D.J. Nixon, and M. Mkhwanazi. 2010. A preliminary assessment of climate change impacts on sugarcane in Swaziland. Agricultural Systems 103: 63–72.
11. Marin, F.R., J.W. Jones, F. Royce, C. Suguitani, J.L. Donzelli, W.J.F. Pallone, and D.S.P. Nassif. 2011. Parameterization and evaluation of predictions of DSSAT/CANEGRO for Brazilian sugarcane. Agronomy Journal 103: 304–314.
12. Marin, F.R., J.W. Jones, A. Singels, F. Royce, E.D. Assad, G.O. Pellegrino, and F. Justino. 2013. Climate change impacts on sugarcane attainable yield in Southern Brazil. Climatic Change 117: 227–239.
13. Meehl, G.A., C.J. Boer, C. Covey, M. Latif, and R.J. Stouffer. 2000. The coupled model intercomparison project (CMIP). Bulletin of the American Meteorological Society 81: 313–318.
14. Rosenzweig, C., J.W. Jones, J.L. Hatfield, A.C. Ruane, K.J. Boote, P.J. Thorburn, J. Antle, G. Nelson, C.H. Porter, S. Janssen, S. Asseng, J.M. Winter, and A.P. Greeley. 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): protocols and pilot studies. Agricultural and Forest Meteorology 170: 166–182.
15. Schulze, R.E., and R.P. Kunz. 2010. Climate Change and Sugarcane Production Using the Smith Model. In Climate Change and the South African Sugarcane Sector: A 2010 Perspective, ed R.E. Schulze, ACRUcons Report 61: 73–81. Pietermaritzburg: University of KwaZulu-Natal, School of Bioresources Engineering and Environmental Hydrology.
16. Singels, A., A.J. Kennedy, and C.N. Bezuidenhout. 2000. The effect of water stress on sugarcane biomass accumulation and partitioning. Proceedings of the South African Sugar Technologists’ Association 74: 169–172.
17. Singels, A., and C.N. Bezuidenhout. 2002. A new method of simulating dry matter partitioning in the Canegro sugarcane model. Field Crops Research 78: 151–164.
18. Singels, A., R.A. Donaldson, and M.A. Smit. 2005. Improving biomass production and partitioning in sugarcane: theory and practice. Field Crops Research 92: 291–303.
19. Singels, A., M. Jones, and M. van den Berg. 2008. DSSAT v4.5 Canegro Sugarcane Plant Module: scientific documentation, 34. Mount Edgecombe: SASRI.
20. Singels, A., M.R. Jones, C.H. Porter, M.A. Smit, G. Kingston, F. Marin, S. Chinorumba, A. Jintrawet, C. Suguitani, M. van den Berg, and G. Saville. 2010. The DSSAT4.5 Canegro model: A useful decision support tool for research and management of sugarcane production. Proceedings of the International Society of Sugar Cane Technologists 27: (CD-ROM).
21. Singh, B., and M. El Maayar. 1998. Potential impacts of greenhouse gas climate change scenarios on sugarcane yields in Trinidad. Tropical Agriculture 75: 348–353.
22. Walker, N.J., and R.E. Schulze. 2010. Simulations of rainfed and irrigated sugarcane yields at the scale of mill supply areas in South Africa with the APSIM Model: a verification analysis and study of sensitivities of yields to scenarios of climate change. In Climate Change and the South African Sugarcane Sector: A 2010 Perspective, ed R.E. Schulze, ACRUcons Report 61: 83–104. Pietermaritzburg: University of KwaZulu-Natal, School of Bioresources Engineering and Environmental Hydrology.
23. Wilby, R.L., S. Charles, E. Zorita, B. Timbal, P. Whetton, and L. Mearns. 2004. Guidelines for use of climate scenarios developed from statistical downscaling methods. Intergovernmental Panel on Climate Change (IPCC) Supporting Material, available from the Data Distribution Centre of the IPPC Task Group on Data and Scenario Support for Impacts and Climate Analysis (TGCIA), http://www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf. Accessed 15 September 2013.