Full Text (PDF)
Original Article

Sensitivity Analysis of Yield Parameters to Elevated Temperatures in DSSAT V4.7.5 Simulation Model For CV. Swarna of Rice Over Khordha Region of Odisha

Ravi Kiran, Chinmaya Kumar Sahu, Naveen Kumar Bind, Mehnaj Tharranum A null

Author Information

Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



Indian Journal of Biology 10(1):p 17-22, January-June 2023. | DOI: https://doi.org/10.21088/ijb.2394.1391.10123.2

How Cite This Article:

Sahu CK, Bind NK, et al. Sensitivity analysis of yield parameters to elevated temperatures in DSSAT V4.7.5 simulation model for CV. Swarna of rice over Khordha region of Odisha. Indian J Biol. 2023;10(1):17-23.

Timeline

Received : November 26, 2022         Accepted : December 28, 2022          Published : January 30, 2023

Abstract

The study was conducted in the Khordha district of Odisha during the Kharif season of 2014-2019, to see the effect of climate change, especially of temperature on yield, LAI, and yield attributes of Swarna rice variety. Mainly changes in maximum and average temperature i.e (0.5 – 4.0°C) and (0.5 – 3.0°C) respectively through the weather modification window of the DSSAT CERES Rice crop simulation model were tried for the anthesis stage (60-90 DAP) of the crop. The experiment was laid out as a split plot design and replicated three times. The results showed that the yield was decreasing with respect to the increase in temperature after the threshold limit. The interaction of maximum & average temperature with grain yield was significant only for 1st date of sowing and the rest 2nd & 3rd date of sowing showed nonsignificantly. The leaf area index (LAI) interaction with maximum and average temperature did not show signs for only the 2nd date of sowing but in the case of 1stand 3rd date of sowing showed significance. Likewise, the interaction of physiological maturity days with average temperature showed significance for all three dates of sowing, though the comparison between maximum temperature and physiological maturity days showed decreasing order there was no significant relation. The other two yield attributes like the number of panicles/m2 and harvest index also showed decreasing order while interacting with maximum & average temperature but there was no sign.
 


References

  • 1.   Akinbile CO. Assessment of the CERES-Rice model for rice production in Ibadan, Nigeria. Agric Eng Int CIGR J. 2013;15(1):19-26.
  • 2.   Baker JT, Allen LH, Boote KJ. Temperature effects on rice at elevated CO2 concentration. J Exp Bot. 1992;43(249):959-964.
  • 3.   Dhandapani R, Jagannathan R, Geethalakshmi V. Influence of projected climate on rice yield over Tamilnadu. Indian J Sci Technol. 2015;8(11):1-5.
  • 4.   Dharmarathna WRSS, Weerakoon SB, Rathnayaka UR, Herath S. Variation of irrigated rice yield under the climate change scenarios. In: SAITM Research Symposium on Engineering Advancements; 2012; Malabe, Sri Lanka. p. 31-34.
  • 5.   Gumel DY, Abdullah AM, Sood AM. Assessing rice yield sensitivity to temperature and rainfall variability in Peninsular Malaysia using DSSAT model. Int J Appl Environ Sci. 2017;12(8):1521-1545.
  • 6.   Karim Z, Ahmed M, Hussain SG, Rashid KB. Impact of climate change on the production of modern rice in Bangladesh. In: Rosenzweig C, Iglesias A, editors. Implications of climate change for international agriculture: crop modeling study. Washington (DC): US Environmental Protection Agency; 1994.
  • 7.   Nagarjun Kumar R, Sailaja B, Voleti SR. Crop modelling with special reference to rice crop. Hyderabad: Directorate of Rice Research; [date unknown]. p. 1-24.
  • 8.   Ray M, Roul PK, Baliarsingh A. Application of DSSAT crop simulation model to estimate rice yield in Keonjhar District of Odisha (India) under changing climatic conditions. Int J Curr Microbiol App Sci. 2018;7(4):659-667.
  • 9.   De Los Reyes BG, Myers SJ, McGrath JM. Differential induction of glyoxylate cycle enzymes by stress as a marker for seedling vigor in sugarbeet (Beta vulgaris). Mol Genet Genomics. 2003;269(5):692-698.
  • 10.   Singh KK, Baxla AK, Balasubramani R. A report on database for rice cultivars used in CERES-Rice crop simulation model. New Delhi: India Meteorological Department; 2009.
  • 11.   Swain DK, Yadav A. Simulating the impact of climate change on rice yield using CERES-Rice model. J Environ Inform. 2009;13(2):104-110.
  • 12.   Timsina J, Humphreys E. Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: a review. Agric Syst. 2006;90(1-3):5-31.
  • 13.   Wheeler TR, Craufurd PQ, Ellis RH, Porter JR, Prasad PV. Temperature variability and the yield of annual crops. Agric Ecosyst Environ. 2000;82(1-3):159-167.
  • 14.   NASA POWER. Data Access Viewer [Internet]. Hampton (VA): NASA Langley Research Center; [cited 2024 Jan 1].

Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

Whether all authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

The authors report no conflicts of interest in this work.


About this article


Cite this article

Sahu CK, Bind NK, et al. Sensitivity analysis of yield parameters to elevated temperatures in DSSAT V4.7.5 simulation model for CV. Swarna of rice over Khordha region of Odisha. Indian J Biol. 2023;10(1):17-23.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



Received Accepted Published
November 26, 2022 December 28, 2022 January 30, 2023

DOI: https://doi.org/10.21088/ijb.2394.1391.10123.2

Keywords

Dssat Ceres-Rice modelClimate changeSwarnaYieldYield AttributesSowing DateTempeartureAnthesis.Climate changeSwarnaYieldYield AttributesSowing DateTempeartureAnthesis.

Article Level Metrics

Last Updated

Wednesday 30 September 2026, 08:30:42 (IST)


2437

Accesses

14
344
00

Citations


NA
NA
NA

Download citation


Article Keywords


Keyword Highlighting

Highlight selected keywords in the article text.


Timeline


Received November 26, 2022
Accepted December 28, 2022
Published January 30, 2023

licence


Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



Access this article



Share