Impact of climate change scenario on rice production in two planting methods: a simulation study

  • A. Sumathi
  • S. Mohandass
  • S. Ramasamy
Original Paper


In the present study, attempts have been made to simulate the effect of climate change on rice growth and yield, under both control and water-stressed conditions. Between the two planting methods, the system of rice intensification (SRI) practice had an advantage for the elevated CO2 conditions, with an additional yield of 1,325 kg ha−1; while it was only 391 kg ha−1 under traditional system of planting rice (TPR). Similarly, the yield decline due to temperature increment was −2.0, −2.4, −6.2 and −12.8 % under SRI practice as compared to that of −4.0, −9.9, −11.3 and −31.7 % in the TPR system for +1, +2, +3 and +4 °C temperature rise, respectively. Thus, doubling of atmospheric CO2 level will compensate for the detrimental effect of increased temperature up to 2 °C in the SRI method of rice cultivation as compared to TPR system of planting. Thus, SRI practice is the most suitable method of rice cultivation under both elevated CO2 and temperature level. Simulation analysis of the present data using the dynamic model, ORYZA2000, indicated that under future adverse climatic conditions, the grain yield showed little variation (+1.83 %) with doubled CO2 at +2 °C temperature rise especially with the water stress situations. However, this could be further raised (+17.10 %) with the supplementation of pink-pigmented facultative methylotroph bacterium (PPFM) bio-fertilizer in the given scenario. Thus, temperature-induced yield alterations especially under water-stressed environment could be favorably mitigated with the CO2 fertilization along with the supplementation of PPFM bio-fertilizer.


Crop modeling Elevated carbon dioxide ORYZA2000 System of rice intensification Temperature Water stress 



The authors thank Professor and Head, and faculty Department of Crop Physiology, TNAU, for providing all the infrastructures for the study. Also, the authors thank Professor and Head, Department of Agricultural Microbiology, for providing PPFM strain, and extend their gratitude to Professor and Farm manager (wet lands, TNAU) for allowing to conduct field experiments in the farm lands. The authors also thank Directorate of Research, TNAU, for funding this study and Dr. Biplab Adhikari, Scientist, Biochemistry division, TRA (Tea Research Association), Nagrakatta, West Bengal, India, for his comments and valuable suggestions.


  1. Acock B, Allen LH Jr (1985) Crop responses to elevated carbon dioxide concentrations. In: Strain BR, Cure JD (eds) Direct effects of carbon dioxide on vegetation. DOE/ER-0238, U.S. Dept. of Energy, Caorbon dioxide Reseach Division, Washington, DC, pp 53–98Google Scholar
  2. Poonam A, Rao KS (2007) System of rice intensification: a method for enhancing rice yield. In: Abstract national symposium on research priorities and strategies in rice production system for second green revolution held at Central Rice Research Institute, Cuttack, 20–22 November, pp 8–10Google Scholar
  3. Baker JT, Allen LH Jr (1990) Growth and yield responses of rice to carbon dioxide concentration. J Agric Sci 115:313–320CrossRefGoogle Scholar
  4. Baker JT, Allen LH Jr (1993) Effect of CO2 and temperature on rice: a summary of five growing seasons. J Agric Meteorol 48:575–582CrossRefGoogle Scholar
  5. Basile DV, Basile MR, Li QY, Corpe WA (1985) Vitamin B12 simulated growth and development of Jungermannia leiantha Grolle and Gymnocolea inflata (Huds.) Dum. (Hepaticae). Bryologist 88:77–81CrossRefGoogle Scholar
  6. Belder P, Bouman BAM, Spiertz JHJ, Lu G (2007) Exploring options for water savings in lowland rice using a modelling approach. Agric Syst 92:91–114CrossRefGoogle Scholar
  7. Boling A, Bouman BAM, Tuong TP, Murty MVR, Jatmiko SY (2007) Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia. Agric Syst 92:115–139CrossRefGoogle Scholar
  8. Bouman BAM, Van Laar HH (2006) Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agric Syst 87:249–273CrossRefGoogle Scholar
  9. Bouman BAM, Kropff MJ, Tuong TP, Wopereis MCS, Ten Berge HFM, Vann Laar HH (2001) ORYZA2000: modelling lowland rice. Wageningen University and Research Centre, Wageningen, p 235Google Scholar
  10. Bouman BAM, Feng L, Tuong TP, Lu G, Wang H, Feng Y (2007) Exploring options to grow rice using less water in northern China using a modeling approach. II. Quantifying yield, water balance components and water productivity. Agric Water Manag 88:23–33CrossRefGoogle Scholar
  11. Cure JD, Acock B (1986) Crop responses to carbon dioxide doubling: a literature survey. Agric For Meteorol 38:127–145CrossRefGoogle Scholar
  12. Feng L, Bouman BAM, Tuong TP, Cabangon RJ, Li Y, Lu G, Feng Y (2007) Exploring options to grow rice using less water in northern China using a modeling approach. I. Field experiments and model evaluation. Agric Water Manage 88:1–13CrossRefGoogle Scholar
  13. Hirch R (2000) La riziculture malgache revistee: diagnostic et perspectives (1993–1999). Agence Francaise De Development, AntananrivoGoogle Scholar
  14. Holland MA (1997) Methylobacterium and plants. Recent Res Dev Plant Physiol 1:207–213Google Scholar
  15. Horie T (1993) Predicting the effects of climate variation and effect of CO2 on rice yield in Japan. J Agric Meteorol 48:567–574CrossRefGoogle Scholar
  16. Keeling CD, Carter AF, Mook WG (1984) Seasonal, latitudinal and secular variations in the abundance and isotopic ratios of atmospheric CO2. J Geophys Res 89:4615–4628CrossRefGoogle Scholar
  17. Kropff MJ, Cassman KG, Pennig de Vries FWT, Van Laar HH (1993) Increasing the yield plateau in rice and the role of global climate change. J Agric Meteorol 48:795–798CrossRefGoogle Scholar
  18. Kropff MJ, Van Laar HH, Matthews RB (1994) ORYZA1: an ecophysiological model for irrigated rice production. IRRI, Los Baños 110Google Scholar
  19. Lemon ER (1983) CO2 and Plants: the response of plants to rising levels of atmospheric carbon dioxide. Westview Press, Boulder, COGoogle Scholar
  20. Matthews RB, Kropff MJ, Bachelet D, Vann Laar HH (eds) (1995a) Modeling the impact of climate change on rice production in Asia. CAB International, Wallingford, p 289Google Scholar
  21. Matthews RB, Kropff MJ, Bachelet D, Horie T, Lee MH, Centeno HGS, Shin JC, Mohandass S, Singh S, Defeng Z (1995b) Modelling the impact of climate change on rice production in Asia. In: Peng S, Ingram KT, Neue H-U, Ziska LH (eds) Climate change and rice. Springer, New York, pp 314–325CrossRefGoogle Scholar
  22. Matthews RB, Horie T, Kropff MJ, Bachelet D, Centeno HG, Shin JC, Mohandass S, Singh S, Defeng Z, Lee MH (1995c) A regional evaluation of the effect of future climate change on rice production in Asia. In: Matthews RB, Kropff MJ, Bachelet D, Vann Laar HH (eds) Modeling the impact of climate change on rice production in Asia. CAB International, Wallingford, pp 95–139Google Scholar
  23. Mohandass S, Thiyagarajan TM, Palanisamy S, Abdul Kareem A (1993) Impact of increased temperature and CO2 on rice productivity in Cauvery delta zone, India—a simulation analysis. J Agric Meteorol 52:721–726CrossRefGoogle Scholar
  24. Mohandass S, Kareem AA, Ranganthan TB, Jayaraman S (1995) Rice production in India under current and future climates. In: Matthews RB, Kropff MJ, Bachelet D, Vann Laar HH (eds) Modeling the impact of climate change on rice production in Asia. CAB International, Wallingford, pp 165–181Google Scholar
  25. Penning de Vries FWT (1993) Rice production and climate change. In: Penning de Vries FWT, Teng PS, Metselaar K (eds) Systems approaches for agricultural development, Kluwer Academic Publishers, Dordrecht, The netherlands, pp 175–192Google Scholar
  26. Ranganathan TB, Mohandass S (1997) Identification of critical plant traits for rice ideotype development in future climates in Tamil Nadu, India. J Agric Meteorol 52:939–944CrossRefGoogle Scholar
  27. Sionit N, Hellmers H, Strain BR (1980) Growth and yield of wheat under CO2 enrichment and water stress. Crop Sci 20:456–458CrossRefGoogle Scholar
  28. Soumya VI (2005) Studies on the potential of pink pigmented facultative methylotrophs for cytokinins biosynthesis in association with plant tissue under in vitro conditions. Ph.D., thesis, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaGoogle Scholar
  29. Srivastava SK, Meena Rani HC, Jayaraman V, Bandyopadhyay S, Phene SG, Mohandas S, Palanisamy K, Nayak SK, Paul JV (2004) Dynamics of biospheric aspect of hydrological cycle (BAHC) in rice agro-ecosystems of India. ISRO-GBP Scientific Report No. 10. Indian Space Research Organization (ISRO), Bangalore, p 92Google Scholar
  30. Stansel JW, Fries RE (1980) A conceptual agromet rice yield model. In: Agrometeorology of rice crop. World meteorological organization and the international rice research institute, Los Baños, pp 201–212Google Scholar
  31. Thangamani G (2005) Studies on facultative methylotrophs for increasing crop production. Ph.D. thesis submitted to Tamil Nadu Agricultural University, Coimbatore 641003, IndiaGoogle Scholar
  32. Van Genuchten MTh (1980) A closed-form equation for predicting the hydraulic properties of unsaturated soils. Soil Sci Soc Am J 44:892–898CrossRefGoogle Scholar
  33. Wopereis MCS, Bouman BAM, Tuong TP, Ten Berge HFM, Kropff MJ (1996) ORYZA_W: rice growth model for irrigated and rainfed environments. In: SARP research proceedings, IRRI/AB-DLO, Wageningen, Netherlands, p 159Google Scholar
  34. Yoshida S (1981) Fundamentals of rice crop science. International Rice Research Institute, Los Baños, p 299Google Scholar
  35. Yoshida S, Foron DA, Cock JH (1971) Laboratory manual for physiological studies of rice. International Rice Research Institute, Los Baños, p 70Google Scholar

Copyright information

© Islamic Azad University (IAU) 2014

Authors and Affiliations

  1. 1.Department of Crop PhysiologyTamil Nadu Agricultural UniversityCoimbatoreIndia
  2. 2.Water Technology CentreTamil Nadu Agricultural UniversityCoimbatoreIndia
  3. 3.Department of AgronomyTamil Nadu Agricultural UniversityCoimbatoreIndia

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