De Costa, W.A.J.M., 2000. Prediction of the effects of elevated CO2 and temperature on irrigated rice varieties in the low-country dry zone of Sri Lanka using a process-based simulation model. Journal of the National Science Foundation of Sri Lanka, 28(3), pp.165–184. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa WAJM. Prediction of the effects of elevated CO2 and temperature on irrigated rice varieties in the low-country dry zone of Sri Lanka using a process-based simulation model. Journal of the National Science Foundation of Sri Lanka. 2000;28(3):165–84. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa, W. A. J. M. (2000). Prediction of the effects of elevated CO2 and temperature on irrigated rice varieties in the low-country dry zone of Sri Lanka using a process-based simulation model. Journal of the National Science Foundation of Sri Lanka, 28(3), 165–184. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa WAJM, ‘Prediction of the Effects of Elevated CO2 and Temperature on Irrigated Rice Varieties in the Low-country Dry Zone of Sri Lanka Using a Process-based Simulation Model’ (2000) 28 Journal of the National Science Foundation of Sri Lanka 165 DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa, W. A. J. M.. 2000. “Prediction of the Effects of Elevated CO2 and Temperature on Irrigated Rice Varieties in the Low-country Dry Zone of Sri Lanka Using a Process-based Simulation Model”. Journal of the National Science Foundation of Sri Lanka 28 (3): 165–84. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa, W. A. J. M.. “Prediction of the Effects of Elevated CO2 and Temperature on Irrigated Rice Varieties in the Low-country Dry Zone of Sri Lanka Using a Process-based Simulation Model”. Journal of the National Science Foundation of Sri Lanka 28, no. 3 (2000): 165–84. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659

De Costa, W. A. J. M.. “Prediction of the Effects of Elevated CO2 and Temperature on Irrigated Rice Varieties in the Low-country Dry Zone of Sri Lanka Using a Process-based Simulation Model”. Journal of the National Science Foundation of Sri Lanka, vol. 28, no. 3, 2000, pp. 165–84. DOI: http://doi.org/10.4038/jnsfsr.v28i3.2659