Asian Journal of Agricultural Research

1819-1894 xxxx-xxxx

Knowledgia Review

10.3923/ajar.2007.119.124

Srivani

Geethalakshmi

Jagannathan

Bhuvaneswari

Guruswamy

3 2007

1 3 A study was conducted to evaluate the impact of future climate change on the productivity of major cereal crop, rice at different time periods of 21st century (2020, 2050 and 2080). Future changes in temperatures and precipitation for the years 2020, 2050 and 2080 were acquired from HADCM3 model run outputs and integrated with the base year (2000) data for creating weather files to run INFOCROP model in order to predict the yield of the study crops under changing environment. The rice variety chosen for simulation was IR 36 and different CO₂ concentration levels viz., 376 ppm, 414 ppm, 522 ppm, 682 ppm were used in the INFOCROP model at different time periods (2000, 2020, 2050 and 2080) for assessing the impacts on crop productivity as projected in the IPCC (2001) report. The crop growth and productivity simulated for the future climate using INFOCROP model indicated that the crop duration, days to anthesis, LAI and DMP of rice crop steadily decreased from 2000 to 2020, 2050 and 2080 due to increase in temperature under enriched CO₂ levels. The magnitude of decrease from 2050 to 2080 is expected to be more than that of from 2000 to 2020 and 2020 to 2050. Similarly model recorded the less number of grains per square meter over years. Hence the study reveals prominent negative effects of future climate change on rice crop which shows the necessity to alter the management practices suitable to it.

]]>

Fengmei, Y., X. Yinglong, L. Erda, Y. Masayuki and Z. Jiahua,

2007

Climate Change, 80 395 409 2

Gadgil, S. and S.P.R. Rao,

2000

Curr. Sci., 78 1203 1215 3

Hundal, S.S. and P. Kaur,

1996

Climatic Change and its Impacts on Crop Productivity in Punjab, India. 1996 pp: 377-393 pp: 377-393 4

IPCC,

2001

Climate Change: Impacts, Adaptation and Vulnerability, Contribution of Working Group. II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. pp: 1032. pp: 1032. 5

Lal, M., K.K. Singh, L.S. Rathore, G. Srinivasan and S.A. Saseendran,

1998

Agric. For. Meterol., 89 101 114 6

Mackill, D.J., W.R. Coffman and L.J. Rutger,

1982

Crop Sci., 20 730 733 7

Manickasundaram, P.,

1992

Studies on the effect of irrigation regimes, Sources of nitrogen and their levels on lowland rice. 1992 8

Narendra, K.G. and G. Sunitha,

2005

Plant Physiology. 9

Naylor, R.L., D.S. Battisti, D.J. Vimont, W.P. Falcon and M.B. Burke,

2007

Proc. Natl. Acad. Sci. USA., 104 7752 7757 10

Rao, Y.,

1999

Proceedings of the National Workshop on Dynamic Crop Simulation Modeling for Agrometerological Advisory Services in India, 1999 pp: 305 311 11

Venkataraman, S.,

2004

J. Agrometeorol., 6 213 219 12

Zheng, K.L. and D.T. Mackill,

1982

Sabrao J., 14 61 66