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International Journal of Applied Agricultural & Horticultural Sciences
  • 27 April, 2024
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Frequency : Bimonthly
Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
E-ISSN : 2582-4198
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Vol. 5 (3) : May-June 2014 issue
Green Farming Vol. 5 (3) : 333-336 ; May-June, 2014
Analyzing the impact of rising temperature and CO2 on rice yield in Guntur and Nalgonda districts, Andhra Pradesh using ORYZA 2000 model
Y. SUDHA RANI1* and G. JAYASREE2
Deptt. of Soil Science & Agric. Chemistry, A.N.G.R. Agric. University, Rajendranagar, Hyderabad - 500 030 (A.P.)
Designation :  
1Research Associate, 2Professor
Subject : Agronomy and Crop Production
Paper No. : P-1074
Total Pages : 4
Received : 07 August 2013
Revised accepted : 14 May 2014
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Citation :

Y. SUDHA RANI and G. JAYASREE. 2014. Analyzing the impact of rising temperature and CO2 on rice yield in Guntur and Nalgonda districts, Andhra Pradesh using ORYZA 2000 model. Green Farming  Vol. 5 (3) : 333-336  ;  May-June, 2014

ABSTRACT
Temperature and CO2 are two important parameters related to climate change, which affect crop yield. In this study, an attempt has been made to assess the impact of these two factors on the productivity of rice taking Guntur and Nalgonda districts as study area using ORYZA 2000 model. This study also aims at identifying the most sensitive growth phase of rice crop to the rising temperature. The model has been verified with the observations of field experiments conducted in Regional Agricultural Research Station, Lam, Guntur; and Agric. Res. Station, Kampasagar, Nalgonda District for a particular variety BPT 5204. At existing mean seasonal temperature the model predicted increased yield with increased CO2 concentrations. However, a decrease in yield was noticed with increase in temperature levels at maximum tillering and flowering stages at existing CO2 levels (383 ppm). The model predicted a reduction in rice yield under the scenario of increase in temperature as well as CO2 concentrations.
Key words :
Climate change, CO2 concentration, Grain yield, ORYZA2000 model, Rice crop, Temperature raise.