EVALUATION OF RICE VARIETIES USING CERES-RICE MODEL IN CENTRAL PART OF THRISSUR

J. VENKATA SATISH1*, B. AJITHKUMAR2
1Department of Agricultural Meteorology, College of Horticulture, Kerala Agricultural University, Thrissur, 680654, India
2Department of Agricultural Meteorology, College of Horticulture, Kerala Agricultural University, Thrissur, 680654, India
* Corresponding Author : venkatasatishjasti@gmail.com

Received : 02-06-2019     Accepted : 27-06-2019     Published : 30-06-2019
Volume : 11     Issue : 12       Pages : 8665 - 8667
Int J Agr Sci 11.12 (2019):8665-8667

Keywords : Rice, CERES Model, Evaluation, Genetic Coefficient, Simulation
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Kerala Agricultural University, Thrissur, 680654, India
Author Contribution : All authors equally contributed

Cite - MLA : VENKATA SATISH, J. and AJITHKUMAR, B. "EVALUATION OF RICE VARIETIES USING CERES-RICE MODEL IN CENTRAL PART OF THRISSUR." International Journal of Agriculture Sciences 11.12 (2019):8665-8667.

Cite - APA : VENKATA SATISH, J., AJITHKUMAR, B. (2019). EVALUATION OF RICE VARIETIES USING CERES-RICE MODEL IN CENTRAL PART OF THRISSUR. International Journal of Agriculture Sciences, 11 (12), 8665-8667.

Cite - Chicago : VENKATA SATISH, J. and B., AJITHKUMAR. "EVALUATION OF RICE VARIETIES USING CERES-RICE MODEL IN CENTRAL PART OF THRISSUR." International Journal of Agriculture Sciences 11, no. 12 (2019):8665-8667.

Copyright : © 2019, J. VENKATA SATISH and B. AJITHKUMAR, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

CERES-Rice model was used to simulate phenophases and yield of rice varieties. Field experiments were conducted during the period from May to November 2016 at Mannuthy, Kerala Agricultural University, Thrissur. Two rice varieties (Jyothi and Kanchana) and five dates of planting (1st week of June to 1st week of August) at fortnight intervals. Calibration of genetic coefficients was done with maximum number of iterations and then the model was validated. The model could simulate the phenology of both the rice varieties with D- stat value ranging between 0.5 to 0.7 for physiological maturity and 0.6 to 0.7 for Anthesis. It shows the credible performance of the model in simulating phenophases. The model overestimated the grain yields of rice varieties Jyothi and Khanchana which needs further refinement.

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