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Research On Maize Drip Irrigation Under Mulch From Central Jilin

Posted on:2016-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y BaiFull Text:PDF
GTID:2283330482476328Subject:Hydraulic engineering
Abstract/Summary:PDF Full Text Request
The potential of maize production in Jilin province is great, because Jilin is in one of the world’s three largest gold maize regions—northeast gold maize region. The reasons which limit the yield of maize in Jilin are slow irrigation methods and single tillage method.In this paper, the design of different fertilization times and amount of drip irrigation under the mulch is designed by the traditional drip irrigation method. The fertilizer demand rule is identified by analyzing the influence between fertilization times and amount, production of maize and yield components.The optimization system of water and fertilizer coupling in maize belongs to nonlinear problems. To solve such problems is hard in traditional methods for large number of test group and long cycle of test, so DSSAT model is used to simulate the different plan of maize water and fertilizer coupling systems. The application conditions of DSSAT model in drip irrigation under the mulch are determined by adjusting the parameters of DSSAT Maize in drip irrigation under the mulch of Jilin based on the data of experimental plots. Because DSSAT model itself does not have uneven spacing and covered mulch simulation module, the uneven spacing is transformed to uniform spacing by analyzing the data of experimental plots and the uncovered mulch is transformed to covered mulch is transformed to covered mulch by adjusting the output data of DSSAT. The result has a certain guiding on DSSAT model to simulate the maize in uneven spacing and covered mulch.Genetic algorithm and DSSAT model are used to solve the optimization system of water and fertilizer coupling. Mathematical model of objective function is identified by the irrigation and fertilization system of actual test area as the foundation, the initial population is randomly generated and the fitness selection of objective function is selected. Nine times irrigation and four times fertilization management system is solved by repeated iteration for providing a theoretical basis management of water and fertilizer coupling system.
Keywords/Search Tags:drip irrigation under mulch, DSSAT plant model, genetic algorithms, water and fertilizer coupling system, law of diminishing returns
PDF Full Text Request
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