The APSIM-Wheat and AQUACROP models were calibrated for the Sakha 95 cultivar using phenological data, grain biomass yield, genetic parameters based on field observation. Various treatments of planting dates, irrigation, fertilization applied over two successive winter growing seasons 2019/2020 2020/2021. Both simulated anthesis, maturity aboveground accurately with high performances (coefficie...

The sowing date and density are considered to be the main factors affecting crop yield. determination of density, however, is fraught with uncertainty due influence climatic conditions, topography, variety other factors. Therefore, it necessary find a comprehensive consideration these guide production winter rapeseed. A reliable model could crucial tool investigate response rapeseed growth chan...

Abstract. The current intensive use of agricultural land is affecting the quality and contributes to climate change. Feeding world's growing population under changing climatic conditions demands a global transition more sustainable systems. This requires efficient models data monitor cultivation practices at field scale. study outlines spatially distributed version field-scale crop model AquaCr...

Predicting the impact of future climate change on food security has important implications for sustainable production. The 26 meteorological stations’ data in study area are assembled from four global models under two representative concentration pathways (RCP4.5 and RCP8.5). maize yield, actual crop evapotranspiration (ETa), water use efficiency (WUE) were predicted by calibrated AquaCrop mode...

The AquaCrop model is one of the most recent models that can simulate growth rates and yields various crops based on water consumption levels. To determine optimal irrigation level, data measured in two crop years (2018–2019) different scenarios (full or 100% requirement 90, 80, 70, 60, 50% irrigation) were calibrated validated for arid semiarid climatic conditions using model. was to grain win...