Abstract
Crop water productivity models (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 (0.96) between field-measured and simulated yield by the model, the lowest arithmetic mean of errors (0.04), mean absolute deviation (0.07), mean square error (0.02), absolute percentage error (12.76), root mean square error (0.15) and coefficient of residual mass (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.
Highlights
Crop-water productivity model (CWPM) which is known as the relationship between seasonal crop evapotranspiration (ET) and fresh or dry yield is of great interest among scientists who work on soil, plant and water
As it was stated in Kipkorir et al (2002) and Igbadun et al (2007); CWPM can be mainly divided into two parts; one relates yield to seasonal ET (e.g., Stewart & Hagan 1973; Doorenbos & Kassam 1979; Hanks 1983), another relates yield reduction to water deficit at some crop growth stages (Jensen 1968; Minhas et al 1974; Sudar et al 1981)
5 CWPMs related to relative evapotranspiration (ET) or relative ET deficit were used for the predicting relative yield or relative yield decrease of a processing tomato crop
Summary
Crop-water productivity model (CWPM) which is known as the relationship between seasonal crop evapotranspiration (ET) and fresh or dry yield is of great interest among scientists who work on soil, plant and water. As it was stated in Kipkorir et al (2002) and Igbadun et al (2007); CWPM can be mainly divided into two parts; one relates yield to seasonal ET (e.g., Stewart & Hagan 1973; Doorenbos & Kassam 1979; Hanks 1983), another relates yield reduction to water deficit at some crop growth stages (Jensen 1968; Minhas et al 1974; Sudar et al 1981). The aim of this study is to test the model performance in predicting the fruit yield to accomplish optimal crop production and higher of processing tomato in the sub-humid climate water use efficiency or a reliable, continuous, and conditions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
