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Estimating the temperature sensitivity of rice (Oryza sativa L.) yield and its components in China using the CERES-Rice model

文献类型： 外文期刊

作者： Zhou, Zeyu 1 ; Jin, Jiming 1 ; Li, Fei 2 ; Liu, Jian 3 ;

作者机构： 1.Yangtze Univ, Coll Resources & Environm, Wuhan 430100, Hubei Province, Peoples R China

2.Chinese Acad Agr Sci, Inst Grassland Res, Hohhot 010010, Inner Mongolia, Peoples R China

3.Shihezi Univ, Coll Water Resources & Architectural Engn, Shihezi 832000, Xinjiang Provin, Peoples R China

关键词： Temperature increase; Sensitivity; Rice yield; Panicle number; Grain number

期刊名称：EUROPEAN JOURNAL OF AGRONOMY （ 影响因子：5.5； 五年影响因子：5.9 ）

ISSN： 1161-0301

年卷期： 2025 年 162 卷

页码：

收录情况： SCI

摘要： The effects of temperature changes on rice (Oryza sativa L.) yield and its components have been widely documented. However, most existing studies are based on small-scale, short-term field experiments, with few assessing these effects on a large scale or over long periods. Here, the calibrated Crop Environment Resource Synthesis (CERES)-Rice model was used for numerical simulations over six climate regions in the major rice cultivation areas of China for the period of 1989-2018. The simulated results were used to estimate the temperature sensitivity of rice yield with a panel model in each climate region, and the yield sensitivity was then decomposed into the temperature sensitivity of three components: panicle number per unit area (Pan_no), filled grain number per panicle (Grain_no), and grain weight (Grainwt). Results indicated that rice yield exhibited negative temperature sensitivity across all climate regions, driven primarily by the temperature sensitivity of Grain_no in most regions. Additionally, Grainwt did not vary with temperature in all regions. Further analysis suggested that yield, Pan_no, and Grain_no were more sensitive to high temperature degree days (HDD) than to growing degree days (GDD). Under the warmer scenarios, HDD increase played a dominant role in the reduction of Grain_no, while the joint effect of GDD and HDD resulted in an increased Pan_no in most regions. However, the negative effect of temperature on Grain_no outweighed its positive effect on Pan_no, leading to a decline in yield. This study provides insight for understanding the temperature response of rice yield and its components and will be beneficial for developing targeted adaptations to ensure rice sustainable production under global warming.

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