Authors

Abstract

The establishment of crop growth models enables the simulation of the impacts of environmental changes on crop growth, providing theoretical guidance for exploring the relationship between environmental factors and crop growth. The model used the growth cycle (GC) as the simulation time step and was built upon four sub-models: topology, photosynthesis, biomass allocation, and geometric morphology. It was quantitatively utilized the concept of effective accumulated temperature (EAT) and parameters such as sink and expansion rate were used to explain the allometric growth relationships among different organs. The R2 values for the geometric morphological parameters such as leaf length, leaf width, leaf area, and internode volume ranged from 0.78 to 0.94, while the F-values for the regression equations ranged from 1533.53 to 13949.51. The R2 values for simulating leaf, internode, and earhead biomass were 0.62-0.94, 0.74-0.97, and 0.98, respectively, with RMSE values ranging from 0.02 to 0.13 g for leaf biomass, 0.03 to 0.13 g for internode biomass, and 1.71 g for earhead biomass. The results indicated that the model exhibited good performance and reliability in simulating the growth and development of leaves, internodes, and earheads. This provides a solid foundation for the development of a millet model with functional-structural feedback.

Abstract in Chinese

作物生长模型的建立可以模拟环境变化对作物生长的影响，为探索环境因子与作物生长的关系提供理论指导。模型以生长周期(GC)为模拟时间步长，建立了拓扑结构、光合作用、生物量分配和几何形态4个子模型。我们定量地利用了有效积温(EAT)的概念，并用库强和扩展率等参数来解释不同器官间的异速生长关系。叶长、叶宽、叶面积、节间体积等几何形态参数的R2值为0.78 ~ 0.94，回归方程的f值为1533.53 ~ 13949.51。叶片、节间和穗生物量的R2分别为0.62 ~ 0.94、0.74 ~ 0.97和0.98，其中叶片、节间和穗生物量的RMSE分别为0.02 ~ 0.13 g、0.03 ~ 0.13 g和1.71 g。结果表明，该模型对叶片、节间和穗的生长发育具有较好的模拟效果和可靠性。这为开发具有功能-结构相互作用的谷子模型提供了结实的基础。