جستجوی مقالات مرتبط با کلیدواژه "csm-ceres-sweet corn" در نشریات گروه "زراعت"

In order to investigate the efficiency of the CSM CERES-Sweet corn v4.5 model on golden-seeded sweet corn (SC403), a study was conducted at the Gorgan Agricultural Research Center station during 2017 and 2008. The experiment was conducted in a randomized complete block design with three replications. The treatments included sprinkler irrigation and furrow irrigation (Is and IF), with each irrigation treatment including two levels of nitrogen fertilizer at 200 and 300 kg/ha (N200 and N300), which was applied as topdressing in two stages. As a first step, soil samples were taken from the selected field soil in depth 100 cm and physical and chemical analyses were performed on them to be used in the interpretation of the results. The different stages of sweet corn growth were accurately recorded and soil moisture was measured gravimetrically during the growth period at two depths of 0-30 and 30-60 cm. During 2 years of experiment using the CSM-CERES-Sweet corn v4.5 plant systems model from the DSSATv4.5 collections, field data were used as model inputs. The accuracy and efficiency of the model were evaluated using the RMSE statistical index. The evaluation of the CSM-CERES-Sweet corn v4.5 model shows that the model is well able to simulate the phrenological stages of sweet corn (RMSE less than 1%) and also the changes in soil moisture during the growth period. The simulation results in all treatments at a depth of 0-30 cm of soil with an average RMSE of 4.05% were more satisfactory than at a depth of 30-60 cm with an average RMSE of 5.31%. The results of this research showed that the model is able to predict the phenological stages of growth well. The simulation results for soil moisture showed an error percentage higher than 18%.