Climate uncertainty is a serious risk to agriculture sector impacting food security. Soybean
crop is not exception to climate change. Crop growth simulation modelling approach has …

The objectives of this study were to evaluate the performance of the cropping system model
(CSM)-CERES-Rice to simulate growth and development of an aromatic rice variety under …

Maize production in low-yielding regions is influenced by climate variability, poor soil fertility,
suboptimal agronomic practices, and biotic influences, among other limitations. Therefore …

Soybean production is limited by poor soil fertility and unstable rainfall due to climate
variability in the Nigeria savannas. There is a decline in the amount and duration of rainfall …

Soybean Glicine max.(L.) Merr. is one of the most major food crops. In some areas, its
responses to different climates have not been well studied, particularly in tropical countries …

Data relative to two soybean seasons, several irrigation scheduling treatments, including
moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and …

Water deficit is the most common adverse environmental condition that can seriously reduce
crop productivity. Crop simulation models could assist in determining alternate crop …

Details on growth and yield for cassava planted on different dates are useful for determining
suitable genotypes for particular growing seasons. Our aim was to study growth and yield of …

The objectives of this study were to evaluate the performance of the Cropping System Model
(CSM)-CERES (Crop-Environment Resource Synthesis)-Rice for simulating growth and …

Maize plays an important role in the Agro‐pastoral ecotone of Northwestern China (APENC),
where highly sensitive to changes in climate conditions. However, little is reported on the …