This study used the CROPWAT model to simulate the effects of temperature changes on maize crop yields in Ibadan, Nigeria. The results showed that rising temperatures had a negative effect on maize yields, though the reduction trends were not definite due to variability in temperatures. Yield reductions were low under definite interval irrigation and high without irrigation. Definite interval irrigation was determined to be the most effective strategy to minimize yield losses from temperature increases and weather variability.

1. SIMULATING THE SENSITIVITY OF MAIZE CROP PROPAGATION
TO SEASONAL WEATHER CHANGE USING CROPWAT-8
by
Ewemoje, T. A. and OKANLAWON, S. A.
Agricultural and Environmental Engineering Department University of
Ibadan, Ibadan, Nigeria.
Introduction • Statistics: Descriptive (Mean), Least
• Weather influences crop yield and Square Difference (LSD) and T test.
quality. Results
• Global warming has significant impact Temperature rise has negative
on agriculture. effect on maize yield.
• Maize production is low under steady Yield reduction trends were not
temperature rise without rainfall or definite due to discrepancy in
irrigation. temperature variability.
• CROPWAT was used to model crop Yield reduction was low under DI
yield response to weather change. and high for both CD and NI.
Objectives No significant difference
• To simulate temperature changes (p<0.05) between CD and DI.
effects on maize crop yield. Significant differences existed, at
• To predict the effects of rise in p < 0.05 between DI and NI, also
between at CD and NI.
temperature on maize yield.
Coefficient of determination (R2)
• To investigate appropriate irrigation
is close to 1 therefore model is
schedule to minimize yield loss.
valid.
Yield reduction was low between
May and September, depicting
better yield during rainy season.
Moisture depletion increases with
temperature and had a low value
at DI irrigation schedule.
Methods Conclusion
• Study area: Ibadan, Nigeria. Weather change is not constant
• Data: Climatic, Soil and Crop. phenomenon, its ever changing.
• Irrigation Schedule: No Irrigation (NI), DI is most preferred under
Critical Depletion (CD) and Definite uncertainty in variability of
Interval (DI). weather change.