Reference health
Predicting Climate Change Impacts on Sugarcane Production at Sites in Australia, Brazil and South Africa Using the Canegro Model
13/13 checkable references clean · checked 2026-08-10
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 13 checked references that resolve
resolves10.1111/j.1365-3040.2008.01822.x
Elevated CO<sub>2</sub> increases photosynthesis, biomass and productivity, and modifies gene expression in sugarcane
resolves10.1080/02571862.1991.10634587
A growth model for sugar-cane based on a simple carbon balance and the CERES-Maize water balance
resolves10.1016/0378-4290(94)90051-5
Temperature and seasonal effects on canopy development and light interception of sugarcane
resolves10.1016/S0378-4290(98)00167-1
Modelling sugarcane production systems I. Development and performance of the sugarcane module
resolves10.1016/j.agsy.2009.09.002
A preliminary assessment of climate change impacts on sugarcane in Swaziland
resolves10.2134/agronj2010.0302
Parameterization and Evaluation of Predictions of DSSAT/CANEGRO for Brazilian Sugarcane
resolves10.1007/s10584-012-0561-y
Climate change impacts on sugarcane attainable yield in southern Brazil
resolves10.1175/1520-0477(2000)081<0313:TCMIPC>2.3.CO;2
The Coupled Model Intercomparison Project (CMIP)
resolves10.1016/j.agrformet.2012.09.011
The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies
resolves10.1016/S0378-4290(02)00118-1
A new method of simulating dry matter partitioning in the Canegro sugarcane model
resolves10.1016/j.fcr.2005.01.022
Improving biomass production and partitioning in sugarcane: theory and practice
The 10 references without a DOI — listed, not checked
no DOI — not checkedBiggs, 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 ).
no DOI — not checkedCheeroo-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.
no DOI — not checkedIPCC 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.
no DOI — not checkedSchulze, 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.
no DOI — not checkedSingels, 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.
no DOI — not checkedSingels, A., M. Jones, and M. van den Berg. 2008. DSSAT v4.5 Canegro Sugarcane Plant Module: scientific documentation, 34. Mount Edgecombe: SASRI.
no DOI — not checkedSingels, 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).
no DOI — not checkedSingh, B., and M. El Maayar. 1998. Potential impacts of greenhouse gas climate change scenarios on sugarcane yields in Trinidad. Tropical Agriculture 75: 348–353.
no DOI — not checkedWalker, 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.
no DOI — not checkedWilby, 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.
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