As the climate changes, a growing demand exists to identify and manage spatial variation in crop yield ensure global food security. This study assesses soil variability its impact on maize under future eastern Kansas’ top ten maize-producing counties. A cropping system model, CERES-Maize of Decision Support System for Agrotechnology Transfer (DSSAT) was calibrated using observed yield. To accou...

Over the last century, mean annual temperatures increased by ~1°C. UNFCCC has proposed to limit warming below 1.5°C relative pre-industrial levels. A study was conducted on rice (C3 pathway) and maize (C4 over Tamil Nadu using DSSAT understand climate change impacts with projected temperature increase of 1.5°C.The future under RCP 4.5 8.5 indicated 1.5°Cincrease in happen 2053 2035, respectivel...

Accurate knowledge of soil moisture is crucial for agricultural drought monitoring. Data assimilation has proven to be a promising technique improving estimation, and various studies have been conducted on data based land surface models. However, crop growth models, which are ideal tools simulation applications, rarely used assimilation. Moreover, the role in monitoring seldom investigated. In ...

Effects of a changing climate on agricultural system productivity are poorly understood, and likely to be met with as yet undefined adaptations by farmers associated business governmental entities. The continued vitality systems depends economic conditions that support farmers’ livelihoods. Exploring the long-term effects requires modeling engage stakeholders upon whom burden any adaptation wil...

Elevated thermal condition caused by global warming is a threat to major crops grown in India as well other Asian and tropical countries, it negatively affects the crop phenology, growth, dry-matter production yield. The present research work aims assess impact of elevated temperature on rice using three growth simulation models, namely, DSSAT, WOFOST InfoCrop. Field experimental data-set for s...