整株干物质量分配指数模型模拟冬小麦各器官形态参数

李世娟; 诸叶平; 张红英; 刘升平; 刘海龙; 杜鸣竹

doi:10.11975/j.issn.1002-6819.2019.09.019

整株干物质量分配指数模型模拟冬小麦各器官形态参数

李世娟^1,2,
诸叶平^1,2,
张红英²,
刘升平^1,2,
刘海龙^1,2,
杜鸣竹^1,2

1.
农业部信息服务技术重点实验室，北京 100081
2.
中国农业科学院农业信息研究所，北京 100081

基金项目: 国家重点研发计划项目（2016YFD0200600）；国家重点研发计划课题（2016YFD0200601）；中国农科院协同创新任务（CAAS-XTCX2016006）；中国农科院信息所创新团队及基本科研业务费（JBYW-AII-2017-25）

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出版历程
- 收稿日期: 2018-10-10
- 修回日期: 2019-03-29
- 发布日期: 2019-04-30

Simulating winter wheat geometrical parameters of each organ using whole plant dry matter weight distribution index model

1.
Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, China
2.
Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

摘要

摘要: 作物生长机理模型可以定量描述作物生长发育及其与环境因子的动态关系，具有通用性、动态性和预测性的特点，但基于生长机理模型模拟结果的作物虚拟技术与方法尚缺乏研究。针对基于生理过程的小麦功能模型与三维结构模型之间不能很好衔接的问题，该文开展越冬期后不同小麦品种的主茎干物质量在不同器官之间的分配研究，以有效积温和干物质量为连接纽带，构建小麦叶片、叶鞘、茎秆、穗各器官的几何特征模拟模型，并用独立数据进行了验证。结果显示：穗干物质量分配指数模拟效果最好，RRMSE值和EF值分别为6.58%和0.98；叶片、叶鞘和茎秆的分配指数模拟效果较好，RRMSE值分别为13.86%、10.83%和14.87%，EF值分别为0.98、0.97和0.91。麦穗形态参数模型和叶鞘长度模型具有非常好的模拟性能;叶片长度和最大叶宽模型、茎秆长度和直径模型具有较好的模拟性能；叶鞘形态参数模型对于叶鞘展开宽度的模拟效果一般，需要在后续研究中对拟合方程和模型参数进一步修正。该系列模型以干物质量为参数输入，能够生成小麦主茎三维形态模拟所需的各器官逐日几何特征参数，参数反映了品种特性、生长环境及气象因素对作物生长的影响，是一种实现小麦功能模型与结构模型实际结合的有效方法。
- 作物 /
- 参数 /
- 模型 /
- 冬小麦 /
- 干物质量 /
- 越冬期后 /
- 生长模型
Abstract: According to the data sources, two main research directions are found in crop virtual research. One is crop geometry simulation and visualization based on external morphological parameters. Without regarding the impact of external morphology and the management measures on the crop, this type of models are focusing on the authenticity of visual effects, generally having no biological significant. Another is the primary structure-function simulation model of crop morphological structure based on simple statistics. This type of primary functional-structure model considers environmental parameters, crop developing processes and a series of important growth characteristic parameters. But most of them are empirical models, in which considering the effects of certain environmental factors on plant growth, and assuming that other environmental factors are appropriate. Thus the modeling method is not closely integrated with wheat physiological processes. The model cannot reflect the impact of changes such as instant photosynthesis, water and fertilizer dynamics on the growth of crops, and thus cannot reflect the instantaneous changes of the virtual forms of crops. The crop growth mechanism model takes data related with soil, meteorological and species as parameters to simulate the dry matter, leaf area and water-fertilizer dynamics in soil-crop system day by day, which can quantitatively describe the dynamic relationship between crop growth and environmental factors. And it is versatile, dynamic and predictive. Researchers have paid more and more attention to the integration and fusion of crop growth mechanism model with morphological structure model. Aiming at the problem that the winter wheat (Triticum aestivum L.) functional model and the three-dimensional structural model can't be well connected, the distribution of the dry matter in different organs after the wintering period and the relationship between dry matter and morphological parameters are studied for 3 wheat varieties by setting the field experiment in this paper. Based on the effective accumulated temperature and dry matter, the dry matter distribution index model and the geometrical parameters simulation model of various organs such as wheat leaf, sheath, stem and ear were constructed, and then were verified by independent data. The results showed that the ear dry matter distribution index had the best simulation effect, with the RRMSE value and EF value of 6.58% and 0.98, respectively. The distribution index of leaf, leaf sheath and stem were well simulated with he RRMSE values of 13.86%, 10.83% and 14.87% respectively, and the EF values of 0.98, 0.97 and 0.91, respectively. The ear morphological parameter model and the sheath length model performed pretty good with the RRMSE values of 7.39%, 9.61% and 6.22% for ear length, width and thickness , and the EF values of 0.83, 0.94 and 0.92, respectively. The RRMSE and EF values of leaf sheath length were 8.62% and 0.81. The simulation for sheath expansion width of leaf sheath morphology parameter model had a general simulation effect, and need to be further corrected. This series of models might take dry matter simulated from the wheat growth model as input to generate daily geometrical parameters of each organ required for three-dimensional morphological simulation of wheat main stem.
- crops /
- parameters /
- models /
- winter wheat /
- dry matter weight /
- after wintering period /
- growth model

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