Abstract Maize production in low-yielding regions is influenced by climate variability, poor soil fertility, suboptimal agronomic practices, and biotic influences, among other limitations. Therefore, the assessment of yields to various management practices is, others, critical for advancing site-specific measures enhancement. In this study, we conducted a multiseason calibration evaluation DSSA...

The increase in irrigated maize plantings Northern China has increased the demand for irrigation water region, resulting chronic shortages drier years. Efficient and use are essential sustainable development management of resources area. This research applied DSSAT-maize Loess Plateau (Fenhe basin) to determine suitable optimum sowing dates ensure stability spring production. model was calibrat...

The production of soybean is gaining more attention in West Africa. In light projected changes climate, there a need to assess the potential impacts on yield productivity and variability among farmers. An evaluated GROPGRO module Decision Support System for Agro-technological Transfer (DSSAT) was used simulate under both historical (1980–2009) climate scenarios from multiple general circulation...

Using climate scenarios from only 1 or a small number of global models (GCMs) in change impact studies may lead to biased assessment due large uncertainty projections. Ensemble means projections derived multi-GCM ensemble are often used as best estimates reduce bias. However, it is time consuming run process-based (e.g. hydrological and crop models) using numerous scenarios. It would be interes...

There is an increased need for detailed soil information that can be used for applications of crop and environmental modeling. The goal of this project was to conduct a reanalysis of the ISRIC-WISE 1.1 Soil Profile Dataset. As part of the procedures, the soil reanalysis database was fitted to the standard formats of the International Consortium for Agricultural Systems Application (ICASA). Thus...