Coupled modeling of rice growth and quality accumulation facilitates efficient, high-quality and precision water management
文献类型: 外文期刊
作者: Dong, Wenhao 1 ; Yang, Aizheng 1 ; Fu, Qiang 1 ; Singh, Vijay P. 6 ; Zhangzhong, Lili 9 ; Zhang, Pingan 1 ; Wang, Xiaofang 1 ; Hu, Kun 1 ; Li, Mo 1 ;
作者机构: 1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin 150030, Heilongjiang, Peoples R China
2.Northeast Agr Univ, Heilongjiang Prov Key Lab Smart Water Network, Harbin 150030, Heilongjiang, Peoples R China
3.Minist Educ, Int Cooperat Joint Lab Hlth Cold Reg Black Soil Ha, Harbin 150030, Heilongjiang, Peoples R China
4.Natl Key Lab Smart Farm Technol & Syst, Harbin 150030, Heilongjiang, Peoples R China
5.Northeast Agr Univ, Heilongjiang Prov Key Lab Water Resources & Water, Harbin 150030, Heilongjiang, Peoples R China
6.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 78843 USA
7.Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 78843 USA
8.UAE Univ, Natl Water & Energy Ctr, Al Ain, U Arab Emirates
9.Beijing Acad Agr & Forestry Sci, Beijing 100097, Peoples R China
10.Xianyang Normal Univ, Sch Geog & Environm, Xianyang 712000, Shaanxi, Peoples R China
关键词: AquaCrop model; Precision irrigation; Rice quality physiological model; Yield-quality-water synergy; Hydrological response sensitivity
期刊名称:AGRICULTURAL SYSTEMS ( 影响因子:6.1; 五年影响因子:7.0 )
ISSN: 0308-521X
年卷期: 2025 年 230 卷
页码:
收录情况: SCI
摘要: CONTEXT: With rising global demand for high-quality rice, irrigation is vital for superior production. Yet, traditional practices often show low water-use efficiency and weak control. Precise daily irrigation improves assimilate distribution, enhancing both yield and grain quality. OBJECTIVE: This study integrates the AquaCrop model with a rice quality model to simulate daily growth processes, quality accumulation, and the intricate dynamics linking irrigation, dry matter production, and assimilate distribution. METHODS: Based on this, a dynamic irrigation model was developed to optimize key targets, including high yield, minimal chalkiness, reduced amylose, and enhanced protein content, while generating daily irrigation scenarios to harmonize yield, quality, and water efficiency. RESULTS AND CONCLUSIONS: The results reveal a positive correlation between yield, chalkiness, and amylose, whereas improved protein levels mitigate chalkiness. Ensuring baseline water supply during early and midtillering stages, followed by deficit irrigation in subsequent phases, conserves 18.9 % of water and reduces chalkiness by 36.6 %. Allocating 27.4 % of water resources to the jointing and booting stages conserves 13.1 % of water, lowers amylose content by 5.4 %, and stabilizes yields. Prioritizing irrigation during tillering and heading stages reduces water use by 8.6 %, marginally increases yield, and elevates protein levels by 14.2 %. Additionally, compared to wet years, normal years face stronger temperature stress during mid-growth, causing a 6.2 % yield reduction but a 12.8 % protein increase due to balanced nitrogen uptake after flowering; in dry years, limited precipitation and excessive heat in late growth increase chalkiness by 23.3 % and reduce protein content by 5.4 %. SIGNIFICANCE: The high water-use efficiency and quality irrigation decision model for rice developed in this study will facilitate the formulation of precise daily irrigation schedules. It adapts to varying hydrological conditions and decision-maker preferences, achieving synergistic regulation of rice yield increase, quality improvement, and water conservation, thereby providing decision support for high-quality rice production.
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