Mathematical Modelling of Crop Water Productivity for Processing Tomato

Authors : Hayrettin KUŞÇU
Pages : 137-146
Doi:10.15832/ankutbd.395133
View : 64 | Download : 11
Publication Date : 2019-06-05
Article Type : Research Paper
Abstract :Crop water productivity models insert ignore into journalissuearticles values(CWPMs); are of great importance in evaluating different irrigation programs. The mean  goal of the study was to evaluate the performance of the Jensen, Minhas, Blank, Stewart and Rao CWPMs in predicting  fruit yield of processing tomato. Field experiments were conducted for two consecutive growing seasons. The soil water  stress sensitivity indices of the CWPMs were determined using experimental data from the second crop growing season.  Yields simulated by the CWPMs were compared with the experimental data for the first season. The sensitivity indices  for the crop growth stages were taken into account as appropriate weights of the soil water sensitivity of the vegetative,  flowering, yield formation and ripening stages of the processing tomato crop. The results give evidence that processing  tomato is much more sensitive to soil water stress during flowering and yield formation stages whereas the adverse  impact of water stress on yield is very limited at vegetative stage. The highest modelling efficiency insert ignore into journalissuearticles values(0.96); between  field-measured and simulated yield by the model, the lowest arithmetic mean of errors insert ignore into journalissuearticles values(0.04);, mean absolute deviation  insert ignore into journalissuearticles values(0.07);, mean square error insert ignore into journalissuearticles values(0.02);, absolute percentage error insert ignore into journalissuearticles values(12.76);, root mean square error insert ignore into journalissuearticles values(0.15); and coefficient of  residual mass insert ignore into journalissuearticles values(0.05); were achieved by Minhas model and followed by Rao model based on same parameters of statistical  analyses. Both the Minhas and the Rao models with their soil water stress sensitivity indices generated for the different  growth stages obtained in this study are recommended for the processing tomato in the sub-humid environments.
Keywords : Deficit irrigation, Relative evapotranspiration, Relative yield, Stress sensitivity indices

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