Nitrogen Fertilization Decision-Making System For Production Management Of High-quality (Special) Wheat

According to analyze the research and development of quality of the wheat and computer simulation and regulation decision support system, A preliminary computer simulation and regulation decision support system is established upon internet based on the data of field experiment and the principle of agronomy, theory of mathematics and the principle of information technique. Conclusions is drawed as following:1. In the study, two high quality wheat (zhongyou9507, nongda152) and ordinary quality wheat are used as the experimental varieties. The growth and development of wheat upon different fertilization treatments, and relations between fertilization measure and nitrogen content of leaf and individual plant and that between nitrogen content of leaf and individual plant and grain protein content during the course of protein formation and accumulation of wheat.(1)Three varieties of wheat are utilized in this experiment,of which biomass cumulation ,leaf area index and tillering change are effected by the quantity, date and proportion of fertilization. Under this trial, they were increased with increasing of the quantities of fertilizer. These results showed that the growth of leaf area and tilling and contabescence of wheat were influenced mainly base nitrogen and phosphor and joint-fertilizer.the booting-fertilizer mainly influence the contabscence of leaf. There is statistical discrepancy among different varieties.(2)The results indicated that there are close relations among nitrogenous fertilizer, nitrogen content of leaf or/and individual plant and grain protein content. Especially, fertilizing the nitrogenous fertilizer during booting stage has great benefit to the individual plant and grain protein content. Fertilization is benefit for the cumulation of protein during the later stage. However the response is different between three varieties under the same nutrient condition, high quality wheat cumulate more protein than ordinary wheat, this showed grain protein content is influenced by the fertilization measure and varietal characteristic.2. The model of growth and develop has been established, including biomass cumulation model, tillering change model, Leaf Area Index dynamic model, Pertcentage Nitrogen content of individual plant change model, and models about the relation between measure and physiology index, physiology index and contents of grain protein.3. Based on above-mentioned conclusions, established total decision-making model which take grain protein and yield as object, take "subsection control, approach gradually" as the principle, which showed fully the dynamic formation process of object. Make decision according to stage of growth and find the optimum management measures of the stage gradually. Decision-making factor s including fertilization measure and physiology index, which show ulteriorly the formation of object is limited by the physiological status and agricultural measures.4. The growth period is divided into several stages. At critical stages, the system will provide the user an optimum management measure for the plant according to practical fertilization measures or/and physiological index in the stage and forecast the result.5. Based on results of this trial and synthesized the theory of agronomy and peer results, used network technique and theory of decision-making system, A control and decision-making system was established upon internet about protein content and yield, the system made up of the database, models, decision-making control mechanism and interface between human and computer. Realized the functions of query, forecast, adjustment and control, and decision-making.