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Research and Application of Cultivation-Simulation- Optimization Decision Making System for Rapeseed (Brassica napus L.)

文献类型： 会议论文

第一作者： Hongxin Cao

作者： Hongxin Cao 1 ; Chunlei Zhang 2 ; Baojun Zhang 3 ; Suolao Zhao 3 ; Daokuo Ge 1 ;

作者机构： 1.Institute of Agricultural Resources and Environment Research/Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, Jiangsu

2.Institute of Oil Crops Research, Chinese Academy of Agricultural Sciences, Wuhan 430062, Hubei

3.Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100, Shaanxi, China

关键词： Rapeseed;Cultivation;Growth Models;Optimization Models;Decision Making System;Research and Application

会议名称： IFIP TC 12 conference on computer and computing technologies in agriculture

主办单位：

页码： 441-456

摘要： The objectives of this study were to develop Rapeseed Cultivation Simulation-Optimization-Decision Making System (Rape-CSODS), and validate it in order to design rapeseed planting, regulate and control its growth and development, and fulfill its high yield, good quality, high benefits, and standard production eventually. The models in Rape-CSODS were developed based on field experiments with 3 cultivars, 2 plant types, 6 sowing dates, and 4 sites from 2002 to 2008 in the middle and lower valley of Yangtze river in China and relative data from references of rapeseed research, employed ideas of R/WCSODS (Rice/Wheat Cultivation Simulation-Optimization-Decision Making System), then Rape-CSODS were developed through integrating rapeseed growth models, optimization models, and expert knowledge. In that the rapeseed growth models mainly included phenophase, leaf age, population dynamic, and organ forming etc., and the optimization models for rapeseed cultivation mainly included the optimum biomass, the optimum LAI, the optimum shoot and ramification number dynamics models, and the optimum decision making models for nitrogen and water etc. As a case, the system has been applied in Shandong Province in this study, and the results showed that the scheme get by this systems can increase green leaf number before over-winter, 1.1; 1000-weight, 0.2g; and rapeseed yield, 676.5 kg ha~(-1) at mature, comparing with rapeseed production in the same conditions. The Rape-CSODS with general adaptability, clear yield aim, better mechanism, and dynamic characteristic can get the optimum management sheet pre-planting, micro-adjustment sheet during growth for rapeseed under different climates, soil, cultivars, and yielding levels.

分类号： S126

  • 相关文献

[1]Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed (Brassica napus L.). Cao, Hongxin,Ge, Daokuo,Zhu, Dawei,Liu, Yan,Liu, Yongxia,Wei, Xiufang,Zhang, Chunlei,Zhang, Baojun,Zhao, Suolao,Wang, Baoqing,Zhu, Juanuan,Zhu, Chuanbao,Hannaway, David B.,Sun, Jinying. 2011

[2]油菜栽培管理模拟优化决策系统试验示范(英文). 张春雷,曹洪鑫,李光明,李锋,赵懿. 2007

[3]Inheritance and molecular characterization of resistance to AHAS-inhibiting herbicides in rapeseed. Hu Mao-long,Pu Hui-ming,Gao Jian-qin,Long Wei-hua,Chen Feng,Zhou Xiao-ying,Zhang Wei,Peng Qi,Chen Song,Zhang Jie-fu. 2017

[4]Rapeseed (Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass. Zhang, Weixin,Cao, Hongxin,Zhang, Wenyu,Liu, Yan,Ge, Daokuo,Feng, Chunhuan,Chen, Weitao,Song, Chuwei. 2016

[5]Molecular characterization and detection of a spontaneous mutation conferring imidazolinone resistance in rapeseed and its application in hybrid rapeseed production. Hu, Maolong,Pu, Huiming,Gao, Jianqin,Long, Weihua,Chen, Song,Zhang, Jiefu,Qi, Cunkou,Kong, Lingna.

[6]Researches of Optimum Shoot and Ramification Number Dynamic Models for Rapeseed (Brassica napus L.). CAO Hong-Xin,WEI Xiu-Fang,ZHANG Chun-Lei,LI Guang-Ming,ZHANG Bao-Jun,ZHAO Suo-Lao,WANG Bao-Qing,JIN Zhi-Qing,ZHU Da-Wei,ZHU Juan-Juan. 2009

[7]Quantitative determination of the strength of rapeseed pod dehiscence. TAN Xiaoli,ZHANG Jiefu,ZHANG Zhiyan,ZHOU Jia,JIANG Song,QI Cunkou,LI Jiayang. 2007

[8]Experiments and demonstrations on the rapeseed cultivation simulation-optimization decision support system. ZHANG Chunlei,CAO Hongxin,LI Jun,LIU Dan,LI Feng,ZHAO Yi,LI Guangming. 2007

[9]Rapeseed (Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass. Weixin Zhang,Hongxin Cao,Wenyu Zhang,Yan Liu,Daokuo Ge,Chunhuan Feng,Weitao Chen,Chuwei Song. 2016

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