Abstract Cropping system models are deployed as valuable tools for informing agronomic decisions and advancing research. To meet this demand, early career scientists increasingly tasked with building crop to fit into these modelling frameworks. Most, however, receive little no guidance how do well. This paper is an introduction a model focus on avoid pitfalls, minimize uncertainty, maximize val...

Accurate prediction of crop yields requires knowledge of the crop's develop-ment stage at critical times during the growing season. Various meteorological models have been developed to estimate crop development. However, the crop planting date, or equivalently, the date the crop reaches a particular crop devel-· opment stage generally is needed to ini-· tialize these models. Recently, efforts h...

nitrogen is one of the most important nutrients in crop production, but it's losses to the environment is harmful. the sundial model (simulation model of n dynamics in the soil) was used to quantify the cycle of n and it's losses in different production systems of sugar beet (beta vulgaris l.) in former khorasan province, east of iran. the data were collected from traditional, semi-me...

In this paper, to account for the effect of water stresses in the various growth stages under deficitirrigation, the multiplicative, seasonal and minimal approaches are integrated in the BUDGETmodel. To evaluate the model, the simulated yields for winter wheat (was grown in Sharif Abaddistrict) under various levels of water stress were compared with observed yields. The resultshowed, simulated ...

Dynamic process-based crop simulation models are useful tool in predicting crop growth and yield in response to environmental and cultural factors but are constrained by lack of availability of the required large number of inputs when applied for regional studies. In this study we report (a) development of a prototype Crop Growth Monitoring System (CGMS) for wheat using WTGROWS simulation model...

Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of separate input parameters, we assess results obtained from a crop growth model using a selection of entire meteorological and soil input datasets,...