欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2009, Vol. 35 ›› Issue (11): 2101-2106.doi: 10.3724/SP.J.1006.2009.02101

• 耕作栽培·生理生化 • 上一篇    下一篇

棉花地上部形态建成的光温模型

郭银巧1,2,赵传德3,朱艳1,李存东2,孙红春2,曹卫星1,*   

  1. 1南京农业大学农学院/江苏省信息农业高技术研究重点实验室，江苏南京 210095；2河北农业大学农学院，河北保定071001；3安泰科技股份有限公司，北京100081
  • 收稿日期:2009-05-12 修回日期:2009-07-21 出版日期:2009-11-12 网络出版日期:2009-09-10
  • 通讯作者: 曹卫星，E-mail: caow@njau.edu.cn; Tel: 025-84396565
  • 基金资助:

    本研究国家高技术研究发展计划（863计划）项目（2006AA10A303），国家科技支撑计划项目（2006BDA10A01），农业部行业专项课题（nyhyzx07-005-05）资助

Morphogenesis Model with Relation to Light and Temperature Condition for Above-Ground Organs in Cotton

GUO Yin-Qiao1,2,ZHAO Chuan-De4,ZHU Yan1,LI Cun-Dong2,SUN Hong-Chun2,CAO Wei-Xing1*   

  1. 1Jiangsu Key Laboratory for Information Agricultural,College of Agronomy,Nanjing Agricultural University,Nanjing 210095,China;2College of Agronomy,Agricultural University of Hebei,Baoding 071001,China;3Advanced Technology & Materials Co.,Ltd,Beijing 100081,China
  • Received:2009-05-12 Revised:2009-07-21 Published:2009-11-12 Published online:2009-09-10
  • Contact: CAO Wei-Xing，E-mail: caow@njau.edu.cn; Tel: 025-84396565

PDF

2136

被引次数

11

摘要：

以不同株型棉花品种为研究对象，基于“同类相似性”原理，借助数学建模和统计分析方法，系统分析光温生态因子对棉花叶片长、宽，叶柄长、粗，主茎节间长、粗，果节长、粗，蕾铃高、直径等形态指标的影响，量化温、光因子与棉花各器官形态建成的关系，构建了基于GDD (growing degree day)和Logistic方程的棉花形态建成光温模型。利用独立的试验数据对模型进行了检验，结果表明，棉花主茎叶片的长度和宽度、叶柄长度、主茎节间的长度和粗度、果枝叶片的长度和宽度、叶柄长度、果节的长度和粗度、蕾铃高度和直径的RMSE值分别为0.48、0.65、0.53、0.09、0.02、0.55、0.28、0.23、0.14、0.17、0.20和0.11 cm。显示棉花器官形态指标的模拟值与检验值具有较好的吻合度，说明模型具有良好的预测性和描述性。

关键词: 棉花, 形态建成, 光温生态模型

Abstract:

Due to their complexity in the morphological character of multi-branch cotton, it is hard to simulate the morphogenesis of cotton. The objective of the study was to construct a simulation model with morphological characters based on GDD (growing degree day) and Logistic equation. An experiment for model establishment was conducted using two cultivars (Meimian 33B and Jifeng 908) with three repetitions. The length and width of leaf, the length of petiole, the length and diameter of internode, the height and diameter of boll were determined from three-leaf stage to the stationary length of leaf on main stem. The result was as follows: (1) GDD and IGDD were quantitied through integrating the quantitative connection of every organ of cotton and the relationship of morphological indices to the effective cumulative temperature, the growing degree day and initial growing degree day of every organ in cotton were quantitied. (2) The major influencing factors of temperature and sunlight were quantitied. The temperature and sunshine hours effect factor model was constructed using mathematical modeling method, which can be explained and reflected better by effect factor in practice. (3) According to the pot experiment data in the field of Hebei Agriculture University in 2006, through analyzing the effects of temperature and sunshine hours on morphogenesis formation in cotton, potential length and width of different cotton organs were quantitied. (4) By quantifying relationship of morphogenesis formation to temperature and sunshine hours, an ecological model of cotton morphogenesis was constructed with the rule of “the same similar”. The model is based on GDD and Logistic equation, which can predict the morphologic indices such as the length and width of leaf, the length of petiole, the length and diameter of internode, the height and diameter of boll. The model was validated with independent dataset from experiment in Nanjing in 2006, the results showed that the RMSEs between simulated and observed value for length and width of leaf on main stem, length of petiole on main stem, length and width of internode on main stem, length and width of leaf on sympodial stem, length of petiole on sympodial stem, length and width of internodes on sympodial stem, boll height and diameter was 0.48, 0.65, 0.53, 0.09 0.02, 0.55, 0.28, 0.23, 0.14, 0.17, 0.20, and 0.11 cm, respectively, which indicated that the present model has a good performance in predicting the dynamics of each organ size in cotton growth process.

Key words: Cotton, Morphogenesis formation, Sunlight and temperature ecological model

[1]Room P M, Hanan J S. Virtual cotton: A new tool for research, management and training. Proceedings of the world Cotton Research Conference-1. Challenging the Future. Brisbane, Melbource: CSIRO Australia, 1995. pp 40-44
[2]Marcelis L F M, Heuvelink E, Goudriaan J. Modelling biomass production and yield of horticultural crops: A review. Sci Hort, 1998, 74: 83-111
[3]Fournier C, Andrieu B A. 3D architectural and process-based model of maize development. Ann Bot, 1998, 81: 233-250
[4]Song Y-H(宋有洪), Guo Y(郭焱), Li B-G(李保国), de Reffye P. Virtual maize model II plant morphological constructing based on organ biomass accumulation. Acta Ecol Sin (生态学报), 2003, 23(12): 2579-2586 (in Chinese with English abstract)
[5] de Reffye P, Blaise F, Chemouny S. Calibration of hydraulic growth model on the architecture of cotton plants. Agronomie, 1999, 19: 265-280
[6] Room P M, Hanan J S, Prusinkiewicz P. Virtual plants: New perspectives for pcologists, pathologists and pgricultural scientists. Trends Plant Sci, 1996, 1: 33-38
[7] Hanan J S, Hearn A B. Linking physiological and architectural models of cotton. Agric Syst, 2003, 75: 47-77
[8] Yang J(杨娟), Zhao M(赵明), Pan X-B(潘学标). Visualization of cotton growth based on NURBS and VC++ 6.0. Trans CSAE (农业工程学报), 2006, 22(10): 159-162 (in Chinese with English abstract)
[9] Zhang L-Z(张立桢). A Process-Based Simulation Model for Cotton Growth and Development. PhD Dissertation of Nanjing Agricultural University, 2003 (in Chinese with English abstract)
[10] Zhang W-P(张吴平), Li B-G(李保国). Three-dimensional model simulating development and growth of cotton root system. J Syst Simulat (系统仿真学报), 2006, 18(z1): 283-286 (in Chinese with English abstract)
[11] Buch-Sorlin G H. L-System Model of the Vegetative Growth of Winter Barley. In: Polani D, Kim J, Martinetz T, eds. Fifth German Workshop on Artificial Life. Berlin: Akademische Verlagsgesellschaft Aka Gmbh, 2000. pp 53-64
[12] Zhang Z-G(展志刚), Wang Y-M(王一鸣), de Reffye P. Morphological architecture-based growth model of winter wheat. Trans CSAE (农业工程学报), 2001, 17(5): 6-11 (in Chinese with English abstract)
[13] Chen G-Q(陈国庆). Study on morphogenesis model and virtual system of wheat. MS Dissertation of Shangdong Agricultural University, 2004 (in Chinese with English abstract)
[14] Tan Z-H(谭子辉), Zhu Y(朱艳), Yao X(姚霞), Tian Y-C(田永超), Liu X-J(刘小军), Cao W-X(曹卫星). Modeling spike growth dynamics in winter wheat. J Triticeae Crops (麦类作物学报), 2006, 26(4): 93-97 (in Chinese with English abstract)
[15] Shi C-L(石春林), Jin Z-Q(金之庆), Cao W-X(曹卫星). An elementary study on virtual growth of rice plant. Jiangsu J Agric Sci (江苏农业学报), 2006, 22(2): 105-108 (in Chinese with English abstract)
[16] Chang L-Y(常丽英), Gu D-X(顾东祥), Zhang W-Y(张文宇), Yang J(杨杰), Cao W-X(曹卫星), Zhu Y(朱艳). A simulation model of leaf elongation process in rice. Acta Agron Sin (作物学报), 2008, 34(2): 311-317 (in Chinese with English abstract)
[17] Chang L-Y(常丽英), Tang L(汤亮), Gu D-X(顾东祥), Yang J(杨杰), Cao W-X(曹卫星), Zhu Y(朱艳). A process-based simulation model of leaf sheath and internode elongation dynamics in rice. J Nanjing Agric Univ (南京农业大学学报), 2008, 31(3): 19-25 (in Chinese with English abstract)
[18] Dong Q-X(董乔雪), Wang Y-M(王一鸣), Barczi J F, He C-X(贺超兴). Estimation method for model parameters of tomato morphological architecture by multi-targets plant fitting. Trans CSAE (农业工程学报), 2007, 15(1): 122-126 (in Chinese with English abstract)
[19] Zhang G-J(张光鉴). Theory of Similarity (相似论). Jiangsu: Jiangsu Science and Technology Press, 1992 (in Chinese)
[20] Institute of Cotton of The Chinese Academy of Agricultural Sciences (中国农业科学院棉花研究所主编). Cotton Cultivation in China (中国棉花栽培学). Shanghai: Shanghai Science and Technology Press, 1983 (in Chinese)

Yu Z-W(于振文). Crop Cultivation (for Species) (作物栽培学各论). Beijing: China Agriculture Press, 2003 (in Chinese)
[1] 赵佳雪, 周龙昊, 郭岂源, 尚伦霄, 王涵, 刘志涛, 陈曦, 张晓佩, 宋宪亮, 毛丽丽. 长期秸秆还田与深松通过改善土壤环境与棉花光合特性提高滨海盐碱地棉花产量[J]. 作物学报, 2026, 52(5): 1548-1560.
[2] 张曦, 王广恩, 李邵琦, 刘祎, 李俊兰, 钱玉源. 基于转录组测序解析陆海杂交姊妹系马克隆值差异的形成机制[J]. 作物学报, 2026, 52(5): 1442-1458.
[3] 周琦翔, 朱艳, 汪楚博, 朱柏林, 李俊博, 宋利兵. 基于DSSAT模型模拟气候变化对新疆棉花物候期及产量的影响[J]. 作物学报, 2026, 52(2): 590-602.
[4] 郭栋财, 吕涛, 蔡永生, 买吾鲁达·艾合买提, 全家, 曲延英, 郑凯. 棉花纤维品质相关性状QTL元分析及候选基因鉴定[J]. 作物学报, 2025, 51(6): 1445-1466.
[5] 王亚雯, 戚正阳, 尤佳琦, 聂新辉, 曹娟, 杨细燕, 涂礼莉, 张献龙, 王茂军. 棉花60K功能位点基因芯片的制备及应用[J]. 作物学报, 2025, 51(5): 1178-1188.
[6] 孟凡琦, 房孟颖, 罗艺, 卢霖, 董学瑞, 王亚菲, 郭丽娜, 闫鹏, 董志强, 张凤路. 乙烯利-甜菜碱-水杨酸合剂对夏玉米耐热性和产量的调控效应[J]. 作物学报, 2025, 51(5): 1299-1311.
[7] 丁俊沣, 许映飞, 张祥, 陈媛, 陈德华. 生长调节剂吲哚丁酸对移栽棉苗成活及生长发育的影响[J]. 作物学报, 2025, 51(12): 3331-3341.
[8] 哈丽哈什·依巴提, 张炎, 李青军, 徐新朋, 何萍. 基于产量反应和农学效率的棉花智能化推荐施肥方法研究[J]. 作物学报, 2025, 51(11): 3052-3064.
[9] 李亚玮, 徐盈盈, 左春阳, 刘若男, 梁亚军, 孔杰, 张献龙, 闵玲. 棉花减数分裂进程鉴定体系构建及其对高温胁迫的响应分析[J]. 作物学报, 2025, 51(10): 2570-2580.
[10] 陈佳伟, 林艳, 张明星, 周诗晶, 饶力群, 周池, 李鑫. 贝莱斯芽孢杆菌YCH92对棉花根际土壤微生物群落及棉花产量的影响[J]. 作物学报, 2025, 51(10): 2821-2835.
[11] 谢章书, 谢学方, 屠小菊, 刘爱玉, 董合忠, 周仲华. 植物激素对棉花蕾铃脱落的调控研究进展[J]. 作物学报, 2025, 51(1): 1-29.
[12] 辛明华, 秘雅迪, 王国平, 李小飞, 李亚兵, 董合林, 韩迎春, 冯璐. 行距配置和种植密度对棉花干物质生产及产量的影响[J]. 作物学报, 2025, 51(1): 221-232.
[13] 李超, 付小琼. 基于GYT双标图综合评价黄河流域中熟杂交棉花区域试验品种[J]. 作物学报, 2025, 51(1): 30-43.
[14] 艾莎, 李莎, 方治伟, 李论, 李甜甜, 高利芬, 陈利红, 肖华锋, 万人静, 闫多子, 武星廷, 彭海, 韩瑞玺, 周俊飞. 棉花MNP标记位点开发及其在DNA指纹图谱构建中的应用[J]. 作物学报, 2024, 50(9): 2267-2278.
[15] 李航, 刘丽, 黄乾, 刘文豪, 司爱君, 孔宪辉, 王旭文, 赵福相, 梅拥军, 余渝. 棉花种质资源萌发期耐盐性鉴定及筛选[J]. 作物学报, 2024, 50(5): 1147-1157.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2