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Ongoing Improvements and Applications of the CERES-Rice Model
(2018-02-16) Thigpen James
This document provides an overview of the ongoing improvements and applications of the CERES-Rice model, a crop simulation model developed in the early 1990s. The model has been extensively used in research, teaching, extension, and policy development to understand and predict the factors affecting rice growth and improve cropping systems. The document highlights the model's contribution to crop management, including optimizing planting window, variety selection, planting density, irrigation options, and nutrient rates. It also emphasizes the model's role in analyzing the impact of shifting weather patterns on rice production, enabling researchers to develop management strategies and adapt to climate change. The CERES-Rice model has been employed in various countries to estimate yield potential, identify yield gaps, and simulate yield trends, providing insights into constraints causing yield gaps and guiding the development of management practices. Crop modeling systems like CERES-Rice play a crucial role in analyzing and improving crop yields by considering complex processes and interactions in cropping systems, and their significance will continue to grow in the face of climatic uncertainties and vulnerabilities.