Evaluation And Application Of Tomato Growth Simulation In A Solar Greenhouse In Northeast Cold Region Based On DSSAT Model

In order to explore the application of DSSAT model in greenhouse tomato growth management in Liaoning region,based on the field test data of greenhouse tomato in Liaoning region,under the condition of 4 irrigation water treatment?50%?_f,60%?_f,70%?_f and 80%?_f is the lower limit of irrigation,and?_f is the water holding rate in the field?,the greenhouse tomato crop model under different irrigation conditions in 2018 was established by using the CROPGRO-Tomato model and the 2018 greenhouse tomato measurement data and the accuracy of the model was analyzed;In this paper,five output variables of the CROPGRO-Tomato model?tomato flowering,maturation,yield,soil dry quality and maximum leaf area index?were analyzed by using Morris and EFAST method of Simlab software to analyze the degree of sensitivity of the parameters of 13 crop varieties?EM.FL is the photothermal time of seedling to the first flower,FL.SH is the photothermal time from flowering to fruiting of the first inflorescence,etc.?and the 19 soil parameters?SDUL is the water holding rate of each layer of soil field,SLDR is the drainage ratio,etc.?and the results of the two methods were compared,while the EFAST method was used to analyze the uncertainty of the model output results.In addition,based on the established crop model,this paper analyzes the effect of irrigation regulation and greenhouse temperature on greenhouse tomato simulation yield prediction,and provides theoretical basis and reference basis for greenhouse tomato production and management.The main conclusions are as follows:?1?Based on the precision analysis of the simulation results of the CROPGRO-Tomato model,it can be seen that the precision of the crop model is objective in terms of the number of days of flowering?ARE mean value is 2.47%?,the number of days of maturity?ARE mean value is 0.88%?and the yield?ARE mean value is 4.85%?;In terms of ground dry mass?ARE mean value is 12%?and maximum leaf area index?ARE mean value is 18.04%?,there is a certain degree of error in the simulation results under heavy water loss,but the difference of overall simulation results is small.In the simulation of tomato growth and development of different irrigation conditions in greenhouse environment,the simulation accuracy of the stage of fertility and yield is better,and in the simulation results of the tomato growth and development index,the simulation results of the lower limit of irrigation in 70%and 80%of the field water holding rate are better.?2?The results of global sensitivity analysis show that the most important genetic parameters for crop growth and development are EMFL?Photothermal time from seeding to the first flower?,and the most sensitive parameters of yield are XFRT?Maximum proportion of dry matter quality allocated to fruit per day,with direct contribution ratio of 94.75%?.Among them,the direct contribution rate of the three photothermal parameters,which have the greatest impact on the division of fertility period,is 91.69%-98.53%,and the direct effect of the parameters is strong.In addition to the simulation results of dry matter quality reflecting a certain interaction of parameters,other output results are more focused on the direct action of the parameters.Under the condition of heavy water loss,the soil's water holding and drainage ability have a strong response to the output variable of the model.Based on the EFAST uncertainty analysis results,the simulation results of all parameter groups of the model are distributed within the 95%confidence interval,and the simulation results of the crop model have high credibility.Under different irrigation conditions,the simulation results of the model for the division of the growth period are similar.With the continuous improvement of irrigation water,the confidence interval of 95%of the model simulation yield is increasing,and the lower limit of irrigation is increased by 1092 kg·hm^-2under the condition of water holding rate in 80% field,compared to 95% confidence interval in 50% field water holding rate.?3?Based on the established CROPGRO-Tomato model,it can be seen that the optimal yield of greenhouse tomatoes can be obtained under the condition that the temperature control is controlled from 25? to 27.5?during planting to flowering period,and the water level of whole fertility is controlled at 70% of the field water holding rate.The results of this study provide a theoretical basis for the optimization and applicability of parameters in the simulation of greenhouse tomato growth in Liaoning region of DSSAT-CROPGRO-Tomato model.