the need for more comparisons among models is widely recognized. this study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in western germany. the three modelling approaches included an empirical model, a process-based model (lintul2), and a metamodel derived from the process-based model. the models ou...

Maize yield prediction in the sub-Saharan region is imperative for mitigation of risks emanating from crop loss due to changes climate. Temperature, rainfall amount, and reference evapotranspiration are major climatic factors affecting maize yield. They not only interdependent but also have significantly changed climate change, which causes nonlinearity nonstationarity weather data. Hence, ther...

Summer maize (Zea mays L.) is one of the dominant crops in the North China Plain (NCP). Its growth is greatly influenced by the spatial-temporal variation of climatic variables, especially solar radiation, temperature and rainfall. The WOFOST (version 7.1) model was applied to evaluate the impact of climatic variability on summer maize yields using historical meteorological data from 1961 to 20...