基于三维动态生长模型的水稻根系模拟
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国家自然科学基金项目(61862032);江西省自然科学基金项目(20202BABL202034)


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    摘要:

    以水稻‘淦鑫688’‘两优培九’‘金优463’‘陆两优996’为试材,利用根箱栽培试验研究水稻不同生长时期根系的形态结构和分布与生理生态因子之间的相互关系;统计分析水稻根系的形态参数,量化其生物学意义和结构特征,基于水稻根系拓扑结构,提出了一种融合发根时间、发根位置、生长速率和生长方向的水稻根系三维动态生长模型。对模型模拟值与观测值进行相关性分析,纳什效率系数为0.811~0.899,均方根误差为0.121~0.135,平均偏差为0.125~0.137,表明模型的准确度较高。以水稻根系三维动态生长模型作为算法基础,利用Visual C++开发工具和OpenGL开放图形库构建了实现水稻根系三维生长可视化仿真系统。对水稻根系的不定根、一级枝根、二级枝根和三级枝根的拟合度和误差进行分析,结果显示,其平均模拟拟合度分别可达到89.36%、90.12%、90.86%和91.75%。

    Abstract:

    By using the ‘Ganxin688’ ‘Liangyoupeijiu’ ‘Jinyou463’ and ‘Luliangyou996’ as experiment materials, the relationship between root morphological structure, dynamic growth and ecophysiological parameters of rice was investigated during different growth stages. Three dimensional dynamic growth model of rice roots based on the root topological pattern was proposed by analyzing the morphological parameters, quantifying their biological significance and structural characteristics, including the determination of rooting time, rooting position, growth rate and growth direction. The correlation analysis was carried out between the simulated values and the measured values. The value of Nash efficiency coefficient, RMSE and Mean Bias ranged from 0.811 to 0.899, 0.121 to 0.135, and 0.125 to 0.137, respectively. It shows that the established model has a higher accuracy. A 3D visualization of the growth simulation system of rice roots is implemented via Visual C++ and the OpenGL standard library on the basis of algorithms for the constructed 3D rice root growth model. The fitting degree and error were analyzed for the adventitious roots, the primary branching roots, the secondary branching roots and the tertiary branching roots, which show that the average simulation fitting degrees reaches 89.36%, 90.12%, 90.86% and 91.75%, respectively.

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杨乐,彭军,龙兰,施俊林,王龙飞,赖静文.基于三维动态生长模型的水稻根系模拟[J].湖南农业大学学报:自然科学版,2022,48(5):.

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  • 在线发布日期: 2022-10-26
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