| dc.description.abstract |
Maize production in the dry zone of Sri Lanka is increasingly vulnerable to climate
change, requiring adaptive strategies such as optimising sowing dates. This study
assessed the impact of different sowing dates on maize (Zea mays L.) yield and
phenology under current and future climate scenarios. Five sowing dates representing
early and late planting periods were selected based on Department of Agriculture
recommendations. The APSIM maize model for the Pacific variety, previously
calibrated and validated, was used to simulate crop performance. 30 years of historical
weather data from Mahailupallama meteorological station represented current dry
zone conditions, while future climate projections under RCP 8.5 scenario for midcentury
(2050) and late-century (2100) were taken from the latest IPCC report. Soil
parameters were obtained from published literature, and simulations were conducted
for both Maha and Yala seasons. Results indicated differential responses of sowing
dates to climate conditions. In the Maha season, early sowing on 30th September
produced the highest yield of 5066.65 kg ha⁻¹ under the present climate, while yields
declined across all sowing dates under projected 2050 and 2100 climates to 4463.49
and 4735.68 kg ha⁻¹, respectively. Conversely, the Yala season demonstrated greater
resilience and higher productivity with early sowing on 30th March producing an
optimized yield of 6555.80 kg ha-1 under present conditions. Yields were similar or
higher under future scenarios, reaching 6659.94 kg ha⁻¹ in 2050 and 7057.68 kg ha⁻¹
in 2100. Days to flowering remained relatively consistent at 26 to 31 days, with slight
reductions under warmer 2050 conditions These projections may vary with soil
quality, management practices, and new varietal improvements. However, the findings
suggest that shifting maize cultivation to the Yala season and adjusting sowing dates
to seasonal climate are viable strategies for maintaining productivity in the dry zone
of Sri Lanka under future climate uncertainty. |
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