Simulation modeling of perennial crops has immense potential for generating information for plantation managers. We report the development of the InfoCrop-coconut model and its application to coconut (Cocos nucifera L.) growing in diverse tropical and subtropical environments. The model is based on the generic crop model InfoCrop that simulates various annual crops in tropical and subtropical r...

Infocrop, a generic crop growth model was used to simulate the effect of Russian wheat aphid, Diuraphis noxia (Mordvilko) damage on winter wheat at Fort Collins and Akron, Colorado state, USA,. Observed and simulated yield reductions in four experiments over a period of two years were found to be closely related (R = 0.85). The aphid damage mechanisms coupled to the crop growth model could thus...

Goals of the Crop Modelers during this Workshop: 1) to calibrate and intercompare multiple crop models (APSIM, DSSAT, INFOCROP, and STICS) against rice and wheat data at sites in South Asia, 2) to simulate growth and yield sensitivity of those four crop models for rice and wheat to temperature and carbon dioxide levels, and 3) to demonstrate the process of predicting district-level yield of pea...

Present experiment was conducted (2015-16 and 2016-17) comprising different levels of water stress environmental conditions for the model parametrization validation Info Crop-wheat v2.1 model. The calibrated validated popular wheat variety HD-2967 under semi-arid conditions. important genetic coefficients were generated fine-tuned simulating phenology, leaf area index (LAI), dry matter yield cr...

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...

El cambio climático (CC) afecta las condiciones meteorológicas actuales y repercute negativamente en el rendimiento de maíz, particularmente temporal. Para estimar los efectos del CC la productividad, se han utilizado modelos simulación crecimiento bajo diferentes escenarios climático. En este artículo hace una revisión sobre implementados globalmente, durante periodo 2006 a 2019; través, Scopu...