Deficit irrigation or intentional under-irrigation offers the potential for sustainable water resources management. The DSSAT CERES-Maize and AquaCrop models were coupled to simulate effects of deficit on corn yield productivity. calibrated validated using observed values crop biomass under 40%, 50%, 60%, 70%, 80% depletion available soil water. Model simulation results showed that a 15% level ...

Recent work has been completed relating climatic and geographic factors to assess the suitability of particular agroecologic regions to aquaculture production. These studies were unable to compare the suitability of alternative land uses with aquacultural production. A study was therefore initiated to explore methods of generating terrestrial crop production estimates that: a) involve minimal u...

Seasonal climate forecasts (SCFs) have gained popularity in agriculture for risk management studies. The available forms of SCFs are not conducive to decision making because a mismatch scales over space and time. In this study, were disaggregated using the FResampler1 technique simulate rice yield (cultivar PR 114) under different nitrogen levels planting dates DSSAT (Decision Support System Ag...

Wheat (729.8 million tons) is second to rice as the main human food crop (FAO, 201415). In India, wheat is cultivated extensively in North-Western and Central zones. The area, production and productivity of wheat in India and Haryana during 2014-15 is 31.46 mha, 86.53 mt, 2749 kg ha -1 and 2.60 mha, 10.35 mt, 3980 kg ha -1 , respectively (Anonymous, 2014-15). Late sowing of wheat is a major pro...

The present study was performed at three diverse agro-climatic zones of Indian Punjab. A validated DSSAT-CANEGRO model used to simulate the response different climate change scenarios on cane yield four sugarcane varieties (CoPb 91, CoJ 88, Co 118 and 238) for each zone. Results described that elevated lowered minimum temperature upto 3.0°C may alter by -17.9 18.0 per cent. Similarly, ±3.0°C al...

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...