Shams Shaila Islam et al. /Int.J.Agr.Sci. & Tech. 1(2) (2021) 1-11 Page 1 of 11 Volume 1, Issue 2, May 2021 Received : 20 December 2020 Accepted : 09 March 2021 Published : 05 May 2021 doi: 10.51483/IJAGST.1.2.2021.1-11 Article Info © 2021 International Journal of Agricultural Sciences and Technology. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Abstract This research paper aims to evaluate the performance of DSSAT CERES-Rice model in simulating the impact of different (28 °C, 30 °C and 32 °C) increased temperatures change with the relations of five upland rice genotypes (Dawk Pa-yawm, Mai Tahk, Bow Leb Nahng, Dawk Kha 50 and Dawk Kahm) on grain yield for future crop management. Results showed that temperature significantly affected grain yields, harvest index, flowering and maturity date which indicate that medium temperature (30 °C) gave highest grain yield bearing genotype Dawk Kahm (6,700 kg/ ha) whereas at maximum temperature (32 °C), simulated grain yields varied from 3094 to 6460 kg/ ha. Root Mean Square Error (RMSE) values of simulated and observed data less than 10% indicated that grain weight, leaf area index, tillers number and harvest index had more consistency agreement with the yield. Thus, it was proved that the CERES-Rice crop simulation model was more useful as a tool for different phenological traits under changing temperature conditions. And the model approximated grain yields at different temperatures with reasonable accuracy. Keywords: DSSAT-CERES-Rice model, Grain yield, Phenological traits, Temperature effect, Upland rice * Corresponding author: Shams Shaila Islam, Department of Agronomy, faculty of Agriculture, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh. Email: shaila.hmdstu@gmail.com 2710-3366/© 2021. International Journal of Agricultural Sciences and Technology. All rights reserved. Rice phenology and growth simulation using DSSAT- CERES-Rice crop model under the different temperatures changing with climatic condition Shams Shaila Islam 1 *, Jirawat Sanitchon 2 and Ahmed Khairul Hasan 3 1 Department of Agronomy, faculty of Agriculture, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh. Email: shaila.hmdstu@gmail.com 2 Faculty of Agriculture, Khon Kaen University, Khon Kaen – 40002, Thailand. Email: jirawat@kku.ac.th 3 Department of Agronomy, faculty of Agriculture, Bangladesh Agricultural University-2202, Mymensingh. Email: akhasan@bau.edu.bd 1. Introduction Model simulation is one of the most imperative tools in the current world for analyzing the utility of parameters related to meteorological, soil and plant aspects, to predict the crop yield and growth features (Lone et al., 2016). Rice (Oryza sativa L.) is an essential cereal crop nourishing near about half of the world’s populations by contributing 50 to 80% of regular caloric consumption (Amirjani, 2011; FAO, 2012). It is mentioned that Japonica, Javanica and Indica subspecies have different types of ecosystems namely, irrigated, rainfed lowland, deep water and upland rice (Bridhikitti and Overcamp, 2011; Nayak et al., 2019). Upland rice suffers severely from irregular environmental factors, e.g., air temperature, drought, and precipitation (Jalota, 2010). Temperature is credited by its impact on crop yield, due to production expansion under heat stress conditions that greatly influences the growth duration and pattern of the rice plant (Fahad et al., 2017). During the ISSN: 2710-3366 Shams Shaila Islam et al. /Int.J.Agr.Sci. & Tech. 1(2) (2021) 1-11 https://doi.org/10.51483/IJAGST.1.2.2021.1-11 International Journal of Agricultural Sciences and Technology Publisher's Home Page: https:/ / www.svedbergopen.com/ Research Paper Open Access SvedbergOpen DISSEM INATION OF KNOW LEDGE