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Rice (Oryza sativa L.) Yield Gap Using the CERSE-Rice Model of Climate Variability for Different Agroclimatic Zones of India


Affiliations
1 Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
2 Deparment of Science and Technology, New Delhi 110 016, India
3 Agrimet Pune, New Delhi 411 005, India
4 Banaras Hindu University, Varanasi 221 005, India
 

The CERES (crop estimation through resource and Environment Synthesis)-rice model incorporated in DSSAT version 4.5 was calibrated for genetic coefficients of rice cultivars by conducting field experiments during the kharif season at Jorhat, Kalyani, Ranchi and Bhagalpur, the results of which were used to estimate the gap in rice yield. The trend of potential yield was found to be positive and with a rate of change of 26, 36.9, 57.6 and 3.7 kg ha-1 year-1 at Jorhat, Kalyani, Ranchi and Bhagalpur districts respectively. Delayed sowing in these districts resulted in a decrease in rice yield to the tune of 35.3, 1.9, 48.6 and 17.1 kg ha-1 day-1 respectively. Finding reveals that DSSAT crop simulation model is an effective tool for decision support system. Estimation of yield gap based on the past crop data and subsequent adjustment of appropriate sowing window may help to obtain the potential yields.

Keywords

Agroclimatic Zones, Genetic Coefficients, Rice Model, Yield Gap.
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  • Rice (Oryza sativa L.) Yield Gap Using the CERSE-Rice Model of Climate Variability for Different Agroclimatic Zones of India

Abstract Views: 328  |  PDF Views: 146

Authors

P. K. Singh
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
K. K. Singh
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
L. S. Rathore
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
A. K. Baxla
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
S. C. Bhan
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
Akhilesh Gupta
Deparment of Science and Technology, New Delhi 110 016, India
G. B. Gohain
Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, India
R. Balasubramanian
Agrimet Pune, New Delhi 411 005, India
R. S. Singh
Banaras Hindu University, Varanasi 221 005, India
R. K. Mall
Banaras Hindu University, Varanasi 221 005, India

Abstract


The CERES (crop estimation through resource and Environment Synthesis)-rice model incorporated in DSSAT version 4.5 was calibrated for genetic coefficients of rice cultivars by conducting field experiments during the kharif season at Jorhat, Kalyani, Ranchi and Bhagalpur, the results of which were used to estimate the gap in rice yield. The trend of potential yield was found to be positive and with a rate of change of 26, 36.9, 57.6 and 3.7 kg ha-1 year-1 at Jorhat, Kalyani, Ranchi and Bhagalpur districts respectively. Delayed sowing in these districts resulted in a decrease in rice yield to the tune of 35.3, 1.9, 48.6 and 17.1 kg ha-1 day-1 respectively. Finding reveals that DSSAT crop simulation model is an effective tool for decision support system. Estimation of yield gap based on the past crop data and subsequent adjustment of appropriate sowing window may help to obtain the potential yields.

Keywords


Agroclimatic Zones, Genetic Coefficients, Rice Model, Yield Gap.

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DOI: https://doi.org/10.18520/cs%2Fv110%2Fi3%2F405-413