Investigating the Effect of Drip and Furrow Irrigation Methods on the Simulation of Sugar Beet Yield by Using AquaCrop Model
Optimal use and management of water resources is very important. Also, choosing the appropriate irrigation method plays a vital role in saving water consumption in the agricultural sector. Therefore, in the current research, the effect of the irrigation method on the simulation of sugar beet yield was investigated using the AquaCrop model. In this study, the effect of two methods of drip irrigation (tape) and surface irrigation (furrow) and three levels of irrigation water (50%, 75%, and 100% of the plant's water requirement) on the yield of sugar beet plants was investigated in Sarayan-Ayask region, Iran. A factorial experiment was conducted based on a completely randomized design with 4 replications in 2021-22. The results showed that irrigation method had a significant effect on leaf diameter, leaf length, leaf weight, tuber diameter, and tuber length and weight of sugar beet tuber. Also, according to the results, drip irrigation had greater effect than furrow irrigation on the studied traits. Then, the grain and biomass yield was simulated using the AquaCrop model and the simulated values were calibrated and verified using observational data. Calibration was done using two replications of 100% and 50% stress levels, and validation was done using the replication of 75% stress level. The NRMSE, RMSE, RD and R2 coefficients of the model calibration values showed that the simulated and validated values were close to each other and these values were more precise in drip irrigation than in furrow irrigation. Validation values of two irrigation methods also showed the ability of model in simulating grain yield and biomass.
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Using Remote Sensing Data and Machine Learning Methods to Estimate Changes in Hyrcanian Forests along the Southern Coasts of the Caspian Sea
Mahdi Afraz, Davoud Omarzadeh, Mobin Eftekhari *, Mostafa Yaghoobzadeh, Ali Haji Elyasi
Journal of Land Management, -
Impact of Vapor Pressure Deficit on Saffron Yield and Its Prediction Using Artificial Intelligence Algorithms
Elham Ghochanian Haghverdi *, Mostafa Yaghoobzadeh, Alireza Moghri Friz, Omid Khorashadizadeh, Hamed Javadi
Journal of Saffron Research, -
The Effect of Phosphate-Solubilizing Bacteria in Availability of Phosphorus from Rock Phosphate and Improving Pistachio (Pistacia vera L.) Seedlings Growth at Different Levels of Irrigation Water Salinity
Farhad Azarmi-Atajan *, Mohammadhossein Sayyari Zahan, Abdollah Mirzaei
Journal of horticulture science, -
Impact of Irrigation Water Salinity and Plant Growth Promoting Rhizobacteria on Some Soil Properties in Pot Experiment
Farhad Azarmi-Atajan *
Journal of Water Harvesting Research, Summer and Autumn 2023