Working Group 1

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.