Abstract
Reported regional wheat yields in Paraguay vary from 1 to 3. t/ha from year to year, but appear not to be correlated with El Niño-Southern Oscillation (ENSO) phases. Historical weather data from two locations in representative wheat-growing regions of Paraguay, Encarnación-Itapúa and Ciudad del Este-Alto Paraná combined with crop modeling, were analyzed to optimize nitrogen (N) fertilizer application rates according to the ENSO phase of a growing season. The ENSO phase of a growing season was defined based on the average of the sea surface temperature (SST) anomalies in the Eastern Equatorial Pacific region for the period June-October using the El Niño region 3.0 index (Niño 3.0). Simulated average yields in Alto Paraná were higher in the drier and cooler La Niña wheat-growing seasons (average of 3.5. t/ha) compared to the other phases (average of 3.2. t/ha) and in Itapúa, in Neutral seasons (average of 3.8. t/ha) compared to the other phases (average of 3.7. t/ha). Accordingly, optimal N fertilizer applications ranged between 20 and 60. kg. N/ha between phases depending on the sowing date, soil type and initial amount of soil water content. Applying an ENSO or General Circulation Model (GCM)-based forecast for ENSO-season-type specific N fertilizer applications resulted in benefits of >100 US$/ha when compared with current farmers' practice of consistently low N fertilizer applications in Paraguay. When N management based on forecasts was compared with optimized N application without forecast, the benefits of the forecast was only up to 8 US$/ha. The ENSO-persistence-based forecast showed higher values than the GCM-based forecasts with two lead-times but lower skill. Using climate information can significantly increase current wheat yields and gross margins in Paraguay by tailoring N fertilizer applications to the Niño 3.0-defined ENSO phases, which can be forecasted with moderate skill at the beginning of the growing season.
| Original language | English |
|---|---|
| Pages (from-to) | 24-38 |
| Number of pages | 15 |
| Journal | Climate Risk Management |
| Volume | 3 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 13 Climate Action
Keywords
- APSIM-Nwheat
- Climate variability
- ENSO-persistence-based forecast
- GCM-based forecast
- Paraguay
- Wheat modeling
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