A model for canopy light distribution in rice was developed by integrating certain advantages in existing models, and then a processbased photosynthetic production model was furtherly developed by integrating the canopy light distribution model with the rice photosynthesis. The rice canopy was divided into five layers according to leaf area index. Solar radiant intensity on horizontal plane at each layer was calculated by MonsiSaeki exponential model. The direct and diffuse radiations were calculated from the local meteorological data of sunshine duration, while the diurnal variation of photosynthetically active rediation and the influence of direct radiation extinction coefficient on both canopy structure and solar position were also considered. Preliminary validation of canopy light distribution model with independent field experiment datasets showed that the model could accurately predict canopy light distribution under different growing environments. The RMSE(root mean square error) of predicting in rice dry weight for canopylightdistributionbased model and an existing model were 0.74 t/hm2 and 1.26 t/hm2, respectively, indicating that the canopylightdistributionbased model had a better performance. This study would further play an important role in improvement of rice growth model, rice production management and regulation and variety digital design.
TANG Liang1, LI Yan-Da1, 2 , ZHANG Yu-Ping1, 3 , ZHU Xiang-Cheng1, LIU Xiao-Jun1, CAO Wei-Xing1, ZHU Yan1, *
. Simulation of Canopy Light Distribution and Application in Rice[J]. Chinese Journal OF Rice Science, 2011
, 25(4)
: 427
-434
.
DOI: 10.3969/j.issn.1001-7216.2011.04.013
[1]Goudriaan J, van Laar H H. Modelling Potential Crop Growth Processes. The Netherlands: Kluwer Academic Publishers, 1994.
[2]Goudriaan J. A simple and fast numerical method for the computation of daily totals of crop photosynthesis. Agric Forest Meteol, 1986, 38: 249-254.
[3]于强, 王天铎, 刘建栋, 等. 玉米株型与冠层光合作用的数学模拟研究:Ⅰ.模型与验证. 作物学报, 1998, 24(1): 7-15.
[4]黄策, 王天铎. 水稻群体物质生产过程的计算机模拟. 作物学报, 1986, 12(1): 1-8.
[5]张俊平, 陈常铭. 水稻群体生长过程和产量的动态模拟. 生态学报, 1990, 10(4): 311-316.
[6]高亮之, 金之庆, 黄耀, 等. 水稻栽培计算机模拟优化决策系统. 北京: 中国农业科技出版社, 1992: 21-40.
[7]冯定原, 邱新法, 颜景义, 等. 水稻净光合的模拟研究. 南京气象学院学报, 1995, 18(2): 269-275.
[8]Hasegawa T, Horie T. Leaf nitrogen, plant age and crop dry matter production in rice. Field Crops Res, 1996, 47: 107-116.
[9]何水林, 陈聿华. 水稻计算机模拟及应用: Ⅰ. 水稻生长及产量形成模拟模型构建. 福建农业大学学报, 1998, 27(1): 24-30.
[10]Bouman B A M, Kropff M J, Tuong T P, et al. ORYZA2000: Modeling Lowland Rice. Los Bannos: International Rice Research Institute, 2001.
[11]孟亚利, 曹卫星, 柳新伟, 等. 水稻光合生产与干物质累积的动态模拟. 生物数学学报, 2004, 19(2): 205-212.
[12]叶子飘. 光响应模型在超级杂交稻组合Ⅱ优明86中的应用.生态学杂志, 2007, 26(8): 1323-1326.
[13]左大康, 周允华, 项月琴. 地球表层辐射研究. 北京: 科学出版社, 1991: 345-346.
[14]张厚瑄. 作物群体结构的概念与测定方法. 中国农业气象, 1984, 3: 51-55.
[15]左大康, 周允华, 项月琴. 地球表层辐射研究. 北京: 科学出版社, 1991: 202-208.
[16]Ross J. The radiation regime and architecture of plant stands. The Netherlands: Kluwer Academic Publishers, 1981.
[17]de Wit C T, Goudriaan J. Simulation of Ecological Processes. Wageningen: Centre for Agricultural Publishing and Documentation, 1978.
[18]曹卫星. 数字农作技术. 北京: 科学出版社, 2008: 99-101.
[19]高亮之, 金之庆, 张更生, 等. 水稻最佳株型群体受光量与光合量的数值模拟. 江苏农业学报, 2000, 16(1): 1-9.
[20]左大康, 周允华, 项月琴. 地球表层辐射研究. 北京: 科学出版社, 1991: 350-358.
[21]于强. 作物生长模拟模式和气候生产力的数值研究. 南京: 南京大学, 1994: 35-40.
[22]周允华, 项月琴, 单福芝. 光合有效辐射(PAR)的气候学研究. 气象学报, 1984, 42(4): 387-397.
[23]de Wit C T. Photosynthesis of leaf canopies//Agricultural Research Reports. Wageningen, Netherlands: Centre for Agricultural Publications and Documentation, 1965: 663-671.
[24]Duncan W G, Loomis R S, Williams W A, et al. A model for simulating photosynthesis in plant communities. Hilgardia, 1967, 38: 181-205.
[25]Ruiz R A, Bertero H D. Light interception and radiation use efficiency in temperate quinoa (Chenopodium quinoa Willd.) cultivars. Eur J Agron, 2008, 29: 144-152.