Simulation And Analysis Of Characteristics Of Growth And Development Of Maize On The Organ Scale

Corn has become the first major grain crops at home and abroad because of its widely planting area and high application value. Reasearching on the law of growth and development of maize and effect of environmental factors on that contributes to the understanding of the formation process of growth and development and yield of maize. It has important significance effective utilization of agricultural resources, further improving the maize yield per unit area, and for food safety in china. Based on the logistic model, this paper constructed the relationship between various organ biomass of maize growth and effective accumulated temperature and simulated the growth trend; Based on the functional-structural mutual feedback mechanism, this paper build an integrated functional-structural model of maize above and below ground. The specific contents and results are as follows:1. Analysises and compares the maize growth characteristics under different varieties and planting densities on the organ scale. Analysis on time, density, double factor of single maize varieties and comes to a conclusion:Leaves, sections, the ear, taproot and total biomass and plant total leaf area of two maize varieties of individual plant are significantly changed under the influence of time. The analysis indexes above all of Xianyu 335 had no obvious changes in different densities; Various organ biomass of 36 Luy in different density effect CHANGE significantly, basically performance for that all kinds of analysis index values decreased with increasing density; Contrast the growth characteristics between two varieties of the same density and find:in 4.5 and 6 thousands of plants/hm2 density level, these physiological indexes of Luyu 36 were higher than that of Xianyu 335, but in 7.5 and 9 thousands of plants/hm2 density level, the higher density treatment, the value of these physiological indexes Decreases significantly and lower than that of Xianyu 335,obtains the reasonable planting density of Xianyu 335 should be between 7.5-9 thousands of plants/hm2, and Lu Yu 36 suitable planting density should be between 6-7.5 thousands of plants/hm2. Logistic function is adopted to establish the effective accumulated temperature and the relationship between corn biomass model, Simulate the growth trend of corn leaves, festival, ear root, etc. That are in line with the "S" type growth curve, the growth from slow to fast to slow. Then with the leaf abscission, the nutrients of stem and toot transporting to the ear, the death of aging, the biomass of various measured values decreases in line with the law of the growth of maize, the measured values matches the simulation values well.2. The paper constructs the function structure model of maize aboveground and underground parts of integration. The author divides the basic unit of growth on the basis of the branch characteristic. The author constructs the topical structure model of maize plant individuals by using the dual scale automaton model. Based on the sink-source theory,build the distribution model of various resources required for the growth of Maize in various organs of maize plants; The allometric determine the geometry characteristics of the dynamic growth of organs. Based on the growth position variation characteristics of different maize organs, the author calculates the spatial distribution characteristics of the maize by using different methods respectively. The author describes the net photosynthetic products of the maize in each period by using the big leaf model of the modified Gauss integral method.3. The paper takes the field experiment varieties of Xianyu 335 for example, the author makes the model parameterization and realizes the simulation research. Through the research, the author determines topical structure parameters. Light and growth parameters, biomass allocation parameters, allometric growth parameters and space growth characteristics of the corn growth. Finally, the author realizes the visual simulation of the process of the growth of maize and simulates and analyzes the above five sub modules.