基于有效积温的冬小麦返青后植株三维形态模拟

doi:10.3864/j.issn.0578-1752.2017.09.005

摘要/Abstract

摘要： 【目的】基于有效积温，利用三维建模技术，实现小麦生长模型与形态模型的有机结合，真实表达环境因素对小麦生长发育和形态结构的影响，最终实现小麦生长过程的三维可视化，为小麦作物生长动态预测、栽培管理调控、作物株型设计等提供重要参考。【方法】以天津地区主要推广小麦品种衡观35、济麦22和衡4399为材料，于2015—2016年冬小麦生长季内开展不同小麦品种和施氮水平的田间试验，采集各品种冬小麦在不同施氮水平下的叶长和最大叶宽等形态数据，通过分析各品种冬小麦返青后形态数据和有效积温的定量关系，用Logistic方程构建了冬小麦返青后叶片叶长、最大叶宽模拟模型，并对该模型进行检验;基于该模拟模型，计算各品种冬小麦返青后每个生长日的形态数据，借助OpenGL和NURBS曲面造型技术，构建冬小麦几何形态模型，最终实现冬小麦生长模型与形态模型的结合，实现了冬小麦返青后生长过程可视化。【结果】在不同品种、不同施氮水平下，小麦叶长回归方程R2值在0.772—0.983之间，F值在10.153—340.191之间，且Sig小于显著水平0.05，最大叶宽回归方程R²值在0.853—0.999之间，F值在17.371—4 359.236之间，且Sig小于显著水平0.05，表明上述模型拟合度和显著性均较好。经数据检验，叶长模型绝对误差在0—3.88 cm之间，根均方差(RMSE)值在0.24—1.95 cm之间，最大叶宽模型绝对误差在0—0.28 cm 之间，RMSE值在0.02—0.15 cm之间，表明所建模拟模型精度较高，该模型对不同品种冬小麦返青后的叶片生长具有较好的预测性;基于所建模拟模型计算冬小麦返青后逐日形态数据，可构造不同品种、不同施氮水平下的冬小麦植株形态，可逼真模拟冬小麦返青后植株动态生长过程。【结论】基于有效积温构建的冬小麦返青后叶长和最大叶宽模拟模型，可较好预测冬小麦返青后叶片生长状态，可实现小麦生长模型和形态模型的有机结合，实现不同品种冬小麦在不同施氮水平下的叶片生长可视化。

关键词: 冬小麦, 有效积温, 生长模型, 形态模型, 三维可视化

Abstract: 【Objective】Based on effective accumulated temperature, the aim of this study is to realize combination of wheat growth model and shape model using 3D modeling technology, express environmental factors influence on wheat growth and morphological structure, finally realize the 3D visualization in the process of wheat growth, provide important reference for wheat crop growth dynamic prediction, cultivation management control and crop plant type design.【Method】As the main commercial wheat varieties in Tianjin region, Hengguan35, Jimai22 and Heng4399 were used as the experimental materials in this study, the field experiments of different varieties and nitrogen levels were carried out in 2015-2016 growth reasons of winter wheat, winter wheat shape data were collected under different nitrogen levels. After analysis of quantitative relationship among various varieties of winter wheat morphology data and effective accumulated temperature, simulation models of winter wheat leaf length and maximum leaf width were constructed using Logistic equation. Based on simulation models, every day shape data of various varieties of winter wheat were calculated. With the help of OpenGL and NURBS surface modeling technology, winter wheat geometry model was built. Finally, combination of winter wheat growth model and shape model was realized, and growth process visualization of winter wheat after turning green stage was realized.【Result】Under the different varieties and different nitrogen levels, R2 of leaf length regression equation was between 0.772-0.983, F was between 10.153-340.191, and Sig was less than 0.05, R2 of maximum leaf width regression equation was between 0.853-0.999, F was between 17.371-4 359.236, and Sig was less than 0.05, the results showed that the model fitting degree and significance were better. After data validation, absolute error of leaf length model was between 0-3.88 cm, root mean squared error (RMSE) was between 0.24-1.95 cm, absolute error of maximum leaf width model was between 0-0.28 cm, and RMSE was between 0.02-0.15 cm. It is indicated that the simulation models had high precision, and the models had a good predictive ability for different varieties of winter wheat leaf growth. Based on simulation models, every day shape data of winter wheat was calculated, plant morphology of different varieties under different nitrogen levels was constructed, and growth process after turning green stage was realistically simulated. 【Conclusion】The winter wheat leaf length and maximum leaf width simulation model after turning green stage was built based on the effective accumulated temperature, which could predict winter wheat leaf growth state after turning green stage, could realize combination of wheat growth model and shape model, and could implement leaf growth visualization of different varieties of winter wheat under different nitrogen levels.

Key words: winter wheat, effective accumulated temperature, growth model, shape model, 3D visualization

李书钦，诸叶平，刘海龙，李世娟，刘升平，张红英，高伟. 基于有效积温的冬小麦返青后植株三维形态模拟[J]. 中国农业科学, 2017, 50(9): 1594-1605.

LI ShuQin, ZHU YePing, LIU HaiLong, LI ShiJuan, LIU ShengPing, ZHANG HongYing, GAO Wei. 3D Shape Simulation of Winter Wheat after Turning Green Stage Based on Effective Accumulated Temperature[J]. Scientia Agricultura Sinica, 2017, 50(9): 1594-1605.

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参考文献

　　[1] 李书钦, 诸叶平, 刘海龙, 李世娟, 刘丹, 张红英, 李中阳. 基于NURBS曲面的小麦叶片三维可视化研究与实现. 中国农业科技导报, 2016, 18(3): 89-95.

　　Li S Q, Zhu Y P, Liu H L, Li S J, Liu D, Zhang H Y, Li Z Y. Research and realization of wheat leaf three-dimensional visualization based on NURBS surface. Journal of Agricultural Science and Technology, 2016, 18(3): 89-95. (in Chinese)

　　[2] 曹宏鑫, 石春林, 金之庆. 植物形态结构模拟与可视化研究进展. 中国农业科学, 2008, 41(3): 669-677.

　　Cao H X, Shi C L, Jin Z Q. Advances in researches on plantmorphological structure simulation and visualization. Scientia Agricultura Sinica, 2008, 41(3): 669-677. (in Chinese)

　　[3] 康孟珍. 植物功能结构模型研究的回顾与展望. 系统仿真学报, 2012, 24(10): 2039-2048.

　　KANG M Z. Review and perspectives on research about functional-structural plant models. Journal of System Simulation, 2012, 24(10): 2039-2048. (in Chinese)

　　[4] 曹宏鑫, 赵锁劳, 葛道阔, 刘永霞, 刘岩, 孙金英, 岳延滨, 张智优, 陈昱利. 作物模型发展探讨. 中国农业科学, 2011, 44(17): 3520-3528.

　　CAO H X, ZHAO S L, GE D K, LIU Y X, LIU Y, SUN J Y, YUE Y B, ZHANG Z Y, CHEN Y L. Discussion on development of crop models. Scientia Agricultura Sinica, 2011, 44(17): 3520-3528. (in Chinese)

　　[5] 张红英, 李世娟, 诸叶平, 刘海龙, 李书钦, 刘丹. 小麦作物模型研究进展. 中国农业科技导报, 2017, 19(1): 85-93.

　　ZHANG H Y, LI S J, ZHU Y P, LIU H L, LI S Q, LIU D. Research progress on wheat crop model. Journal of Agricultural Science and Technology, 2017, 19(1): 85-93. (in Chinese)

　　[6] Jones J W, Hoogenboom G, Porter C H, Boote K J, Batchelor W D, Hunt L A, Wilkens P W, Singh U, Gijsman A J, Ritchie J T. The DSSAT cropping system model. European Journal of Agronomy, 2003, 18(3/4): 235-265.

　　[7] THORP K R, HUNSAKER D J, FRENCH A N, WHITE J W, CLARKE T R, PINTER JR P J. Evaluation of the CSM-CROPSIM- CERES-Wheat model as a tool for crop water management. Transactions of the ASABE, 2010, 53(1): 155-158.

　　[8] LANGENSIEPEN M, HANUS H, SCHOOP P, GRASLE W. Validating CERES-wheat under North-German environmental conditions. Agricultural Systems, 2008, 97(1): 34-47.

　　[9] MISHRA S K, SHEKH A M, YADAV S B, ANILKUMAR, PATEL G G, PANDEY V, PATEL H R. Simulation of growth and yield of four wheat cultivars using WOFOST model under middle Gujarat region. Journal of Agrometeorology, 2013, 15(1): 43-50.

　　[10] KOUADIO L, NEWLANDS N, POTGIETER A, MCLEAN G, HILL H. Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool. Agricultural Sciences, 2015, 6(7): 686-698.

　　[11] 高亮之, 金之庆, 郑国清, 冯利平, 张立中, 石春林, 葛道阔. 小麦栽培模拟优化决策系统(WCSODS). 江苏农业学报, 2000, 16(2): 65-72.

　　GAO L Z, JIN Z Q, ZHENG G Q, FENG L P, ZHANG L Z, SHI C L, GE D K. Wheat cultivational simulation-optimization-decision making system(WCSODS). Jiangsu Journal of Agricultural Sciences, 2000, 16(2): 65-72. (in Chinese)

　　[12] 石春林, 金之庆. 基于WCSODS的小麦渍害模型及其在灾害预警上的应用. 应用气象学报, 2003, 14(4): 462-468.

　　SHI C L, JIN Z Q. A WCSODS-based model for simulating wet damage for winter wheat in the middle and lower reaches of the Yangtse River. Journal of Applied Meteorological Science, 2003, 14(4): 462-468. (in Chinese)

　　[13] 邓旭阳, 周淑秋, 郭新宇, 苑春颖. 基于Cardinal样条插值和三角面片的叶片静态建模. 计算机工程与应用, 2004, 40(25): 199-204.

　　DENG X Y, ZHOU S Q, GUO X Y, YUAN C Y. A static leaf model based on cardinal spline and triangle faces. Computer Engineering and Applications, 2004, 40(25): 199-204. (in Chinese)

　　[14] 刘晓东, 曹云飞, 刘国荣, 胡昭. 基于NURBS曲面的水稻叶形态建模. 微电子学与计算机, 2004, 21(9): 117-124.

　　LIU X D, CAO Y F, LIU G R, HU Z. The modeling of rice leaf based on NURBS. Microelectronics & Computer, 2004, 21(9): 117-124. (in Chinese)

　　[15] 郑文刚, 郭新宇, 赵春江, 王纪华. 玉米叶片几何造型研究. 农业工程学报, 2004, 20(1): 152-154.

　　ZHENG W G, GUO X Y, ZHAO C J, WANG J H. Geometry modeling of the maize leaf canopy. Transactions of the Chinese Society of Agricultural Engineering, 2004, 20(1): 152-154. (in Chinese)

　　[16] 伍艳莲, 曹卫星, 汤亮, 朱艳, 刘慧. 基于OpenGL的小麦形态可视化技术. 农业工程学报, 2009, 25(1): 121-126.

　　WU Y L, CAO W X, TANG L, ZHU Y, LIU H. OpenGL-based visual technology for wheat morphology. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(1): 121-126. (in Chinese)

　　[17] EL-LATIF A. A new model for the structure of leaves. Journal of Software, 2011, 6(4): 670-677.

　　[18] 郭新宇, 赵春江, 刘洋, 秦向阳, 邓旭阳, 孙广宇. 基于生长模型的玉米三维可视化研究. 农业工程学报, 2007, 23(3): 121-125.

　　GUO X Y, ZHAO C J, LIU Y, QIN X Y, DENG X Y, SUN G Y. Three-dimensional visualization of maize based on growth models. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(3): 121-125. (in Chinese)

　　[19] QUAN L, TAN P, ZENG G, YUAN L, WANG J D, KANG S B. Image-based plant modeling. ACM Transactions on Graphics, 2006, 25(3): 599-604.

　　[20] 李云峰, 朱庆生, 曹渝昆, 何希平. 一种基于图像的快速虚拟植物可视化重建. 计算机应用研究, 2005, 22(11): 253-257.

　　LI Y F, ZHU Q S, CAO Y K, HE X P. A fast visual modeling plant based on images. Application Research of Computers, 2005, 22(11): 253-257. (in Chinese)

　　[21] LOCH B. Surface fitting for the modeling of plant leaves[D]. Brisbane: University of Queensland, 2004.

　　[22] 孙智慧, 陆声链, 郭新宇, 温维亮. 基于点云数据的植物叶片曲面重构方法. 农业工程学报, 2012, 28(3): 184-190.

　　SUN Z H, LU S L, GUO X Y, WEN W L. Surfaces reconstruction of plant leaves based on point cloud data. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(3): 184-190. (in Chinese)

　　[23] 李巧云, 年力, 刘万代, 李磊, 周苏玫, 尹钧. 冬前积温对河南省小麦冬前生长发育的影响. 中国农业气象, 2010, 31(4): 563-569.

　　LI Q Y, NIAN L, LIU W D, LI L, ZHOU S M, YIN J. Effects of accumulated temperature before winter on growth and development of wheat in Henan province. Chinese Journal of Agrometeorolog, 2010, 31(4): 563-569. (in Chinese)

　　[24] 杨洪宾, 徐成忠, 李春光, 李福元. 播期对冬小麦生长及所需积温的影响. 中国农业气象, 2009, 30(2): 201-203.

　　YANG H B, XU C Z, LI C G, LI F Y. Growth and required accumulated temperature of winter wheat under different sowing time. Chinese Journal of Agrometeorolog, 2009, 30(2): 201-203. (in Chinese)

　　[25] 李迎, 邓忠, 翟国亮, 宗洁, 蔡九茂, 张文正. 冬小麦作物系数的积温模型. 节水灌溉, 2015(4): 36-40.

　　LI Y, DENG Z, ZHAI G L, ZONG J, CAI J M, ZHANG W Z. Accumulated temperature model for crop coefficient of winter wheat. Water Saving Irrigation, 2015(4): 36-40. (in Chinese)

　　[26] 刘战东, 段爱旺, 高阳, 刘浩. 河南新乡地区冬小麦叶面积指数的动态模型研究. 麦类作物学报, 2008, 28(4): 563-569.

　　LIU Z D, DUAN A W, GAO Y, LIU H. Study on dynamic model of leaf area index(LAI) for winter wheat in Xinxiang area. Journal of Triticeae Crops, 2008, 28(4): 563-569. (in Chinese)

　　[27] 乔玉辉, 宇振荣. 冬小麦叶面积动态变化规律及其定量化研究. 中国生态农业学报, 2002, 10(2): 83-85.

　　QIAO Y H, YU Z R. Dynamic changes and quantification of winder wheat leaf area. Chinese Journal of Eco-Agriculture, 2002, 10(2): 83-85. (in Chinese)

　　[28] 陈国庆, 朱艳, 曹卫星. 冬小麦叶片生长特征的动态模拟. 作物学报, 2005, 31(11): 1524-1527.

　　CHEN G Q, ZHU Y, CAO W X. Modeling leaf growth dynamics in winter wheat. Acta Agronomica Sinica, 2005, 31(11): 1524-1527. (in Chinese)

　　[29] 宇振荣, 毛振强, 马永良. 冬小麦及其叶片发育的模拟研究. 中国农业大学学报, 2002, 7(5): 20-25.

　　YU Z R, MAO Z Q, MA Y L. A simulation study on thermal requirement for growth of winter wheat and its leaves. Journal of China Agricultural University, 2002, 7(5): 20-25. (in Chinese)

　　[30] 李书钦, 刘海龙, 诸叶平, 李世娟, 刘升平, 张红英, 李中阳. 基于

　　实测数据和NURBS曲面的小麦叶片三维可视化. 福建农业学报, 2016, 31(7): 777-782.

　　LI S Q, LIU H L, ZHU Y P, LI S J, LIU S P, ZHANG H Y, LI Z Y. 3-D visualization of wheat leaves using measured data and NURBS surface. Fujian Journal of Agricultural Sciences, 2016, 31(7): 777-782. (in Chinese)

　　[31] 陈昱利, 杨平, 张文宇, 张伟欣, 诸叶平, 李世娟, 巩法江, 毕海滨, 岳霆, 曹宏鑫. 基于生物量的冬小麦越冬前植株地上部形态结构模型. 作物学报, 2016, 42(5): 743-750.

　　CHEN Y L, YANG P, ZHANG W Y, ZHANG W X, ZHU Y P, LI S J, GONG F J, BI H B, YUE T, CAO H X. Aboveground architecture model based on biomass of winter wheat before overwintering. Acta Agronomica Sinica, 2016, 42(5): 743-750. (in Chinese)

　　[32] 赵春江, 郭新宇, 陆声链. 农林植物生长系统虚拟设计与仿真. 北京: 科学出版社, 2010: 318-323.

　　ZHAO C J, GUO X Y, LU S L. Virtual Design and Simulation of Plant Growth System in Agriculture and Forestry. Beijing: Science Press, 2010: 318-323. (in Chinese)

　　[33] 刘丹, 诸叶平, 刘海龙, 李世娟, 许金普. 植物三维可视化研究进展. 中国农业科技导报, 2015, 17(1): 23-31.

　　LIU D, ZHU Y P, LIU H L, LI S J, XU J P. Research progress on 3d plant visualization. Journal of Agricultural Science and Technology, 2015, 17(1): 23-31. (in Chinese)