In southwestern Ontario, rain-fed crop production frequently fails to achieve its yield potential because of growing-season droughts and/or uneven rainfall distribution. The objective of this study was to determine if the Decision Support System for Agrotechnology Transfer (DSSAT) v4.5 model...

The aim of this study was to evaluate the potential of the Decision Support System for Agrotechnology Transfer – Cropping System Model (DSSAT-CSM) using the CENTURY-based soil module to simulate long-term trends of grain yield, soil organic C (SOC) and soil organic N (SON) based upon 14-year...

Calibration and evaluation are two important steps prior to the application of a crop simulation model. The objective of this paper was to review common statistical methods that are being used for crop model calibration and evaluation. A group of deviation statistics were reviewed, including...

Numerical simulations of gas-solid flows, heat transfer and gas-particle combustion have been conducted for a three-dimensional, W-shaped boiler furnace. The gas-particle flow, distributions of temperature and concentrations of gaseous constituents, distributions of the rates of heat release,...

Increased crop production and expansion of irrigated acreage in the southeastern USA have increased agricultural water use during the past two decades. To optimize irrigation water use, it is important to know when to irrigate and how much water should be applied. The objectives of this study...

Weather variables such as maximum and minimum temperatures and precipitation influence crop production especially under rainfed conditions. The goal of this study was to determine the optimum planting date of rainfed wheat based on crop evapotranspiration under water stress conditions (ETc adj),...

Studies on irrigation scheduling for soybean have demonstrated that avoiding irrigation during the vegetative growth stages could result in yields as high as those obtained if the crop was fully irrigated during the entire growing season. This could ultimately also lead to an improvement of the...

Water is the most important limiting factor of wheat (Triticum aestivum L.) and maize (Zea mays L.) double cropping systems in the North China Plain (NCP). A two-year experiment with four irrigation levels based on crop growth stages was used to calibrate and validate RZWQM2, a hybrid model that...