| Based on the integration of domestic and overseas production correlative to this study, whose object is cotton of different plant type,the simulation model of morphologic change and dry matter partitioning index dynamics of main stem,leaves,petiole,fruit branch and cotton boll were constructed based on accumulated growing degree day(GDD) by using the system analysis method and mathematical modeling technique,and integration the quantificational connection of every organ's morphologic growth.Applying the object-oriented programming and component technology,on the basis of current research result of cotton in the key laboratory of high technique information research in Jiangsu, coupling with cotton simulation model,management knowledge model and GIS technique, a digital and web cotton farming system based on model and GIS was developed by using software engineering method and Browser/Server(B/S) structural pattern.The main results of the present study are summarized as following:(1) With consideration of growing degree day and day length factor to length and width morphologic indexes of cotton stem,leaf,petiole,branch,cotton boll,an ecological model of cotton morphology formation based on growing degree day and Logistic equation were developed.The model were validated by experiment data from Nanjing,the result showed that the value of RMSE of leaf length and width,petiole length and width,main stem internodes length and width,sympodial stem intemodes width,cotton boll height and diameter was 0.48cm,0.65cm,0.53cm,0.09cm,0.02cm,0.55cm,0.28cm,0.23cm,0.14cm,0.17cm,0.20cm,0.11cm,respectively,which indicated the model was accurate and the prediction were better.(2) With quantitative analysis and time-course observations,a simulation model on the dry matter partitioning index dynamics for tighten cotton cultivar 33B was conducted. The dynamic change of the unit organ partitioning ratio index could be characterized by linear and exponential equation,respectively for stem internode,leaf,petiole,and cotton bud and boll in relation to accumulated GDD.The changes of partitioning ratio index for unit organ could be described by exponential equation and quadratic equation with different stem internode,leaf,petiole,and cotton bud and boll according to different internode positions on main stem and sympodial stem.The model was validated by the independent field experiment data from lab.The average RMSE between the simulated and observed values for the dry matter partitioning ratio index of unit organs on main stem and sympodial stem with 33B cultivars was 0.028,0.017,0.013,0.035,0.021,0.009,0.011,0.014 for stem,leaf,petiole,branch on main stem,and branch,leaf,petiole and cotton bud and boll on fruit branch,respectively.The results indicated that the present model had a good performance in predicting the dynamic changes in the dry matter partitioning ratio index for tighten cotton cultivar,it will be a foundation for further constructing structure-functional model based on eco-physiological process and visual organ growth system in cotton.(3) With integrating the advantage of prediction of simulation model,spatial information management of GIS technologies,decision support of management knowledge model,a digital and web cotton fanning system based on model and GIS was developed by full utilizing the technologies of software component and parameter method,decision support and system design,GIS spatial technique.By inputting the parameters of varieties, climate,soil and production condition,this system realized the functions of cotton farming zone,cultivation strategy design,growth prediction,scheme evaluation,dynamic regulation and so on.Case of study and testing of the system were carried out with the data from eco-sites of Jiangsu province and Northern area of China.The result indicated that the design idea and structure framework of system met the development demand of modern agricultural decision support system,and realized informationization and modernization of agriculture production management.Compared with those former decision support systems for crop management,this system integrated inherits of cotton growth model,management knowledge model and GIS technology,and has several good characteristics as below: Firstly,Four layers of B/S structure are convenient to maintain the system.Secondly,at the point of structure,the system warrants user different authority to ensure the safety of data.Thirdly,system interface is more friendly and simple,user can operate the system easily and doesn't need to download any plug-ins.Finally,at the point of function,it could dynamically design cultivation strategy,simulate the process of cotton growth and development,make analysis on production level and offer information service through whole growth period.This system provide support for digital prediction,design, evaluation and dynamic control in the whole cotton production system,which provided digital and scientific support for cotton production system,and sent basis for transition from traditional cultivation to precise and digital farming.
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