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• W2979172357 abstract "【Objective】 Modeling dynamics of the dry matter partitioning among unit organs (leaf, sheath, internode and panicle) in rice is an important task for realizing virtual and digital plant growth. In the past years, some great progresses had been made on the dynamics of dry matter partitioning among leaves, stem and sheath, and panicles of rice, but the dry matter partitioning among unit organs of plant was seldom addressed. The present study was conducted to develop a simulation model on the dry matter partitioning dynamics for various unit organs of rice having relation to GDD. 【Method】Four experiments were carried out involving different nitrogen rates and water regimes with four rice cultivars, and time-course observations were made on the dry matter changes in different unit organs on stem and tillers. 【Result】The results showed that the dynamic change of the unit organ partitioning index could be characterized by linear and exponential equation, respectively for leaf, internode and sheath, and panicle in relation to accumulated GDD. The changes in the maximum partitioning index for unit organ could be described by exponential equation (unit leaf and sheath) and quadratic equation (unit panicle) with different leaf, internode and sheath and panicle positions on main stem and tillers. In addition, the effects of nitrogen and water conditions on the dry weight and partitioning index for unit organs were quantified through the effectiveness values of nitrogen concentration and water content in unit organs. The model was validated by the independent field experiment data involving different rice cultivars and nitrogen rates. The average RMSEs between the simulated and observed values for the dry weights of unit organs on main stem and tillers under varied nitrogen and water levels with different cultivars were 0.93, 0.81, and 6.8 kg·ha-1 for leaf, internode and sheath, and panicle, respectively. 【Conclusion】The results indicated that the present model had a good performance in predicting the dynamic changes in the dry weight and partitioning index for different unit organs in rice under different growth conditions, and thus it will be a foundation for further constructing digital and visual organ growth system in rice." @default.
• W2979172357 created "2019-10-10" @default.
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• W2979172357 date "2008-01-01" @default.
• W2979172357 modified "2023-09-23" @default.
• W2979172357 title "Quantitative Simulation on Dry Matter Partitioning Dynamics of Unit Organs in Above-Ground Rice" @default.
• W2979172357 hasPublicationYear "2008" @default.
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