Simulating the impact of climate change on yield reduction of vegetable crop propagation using CROPWAT-8 - Ewemoje, T. A. and Ashaolu, P. O., Lecturer in Soil and Water Conservation Engineering, University of Ibadan, Nigeria
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Simulating the impact of climate change on yield reduction of vegetable crop propagation using CROPWAT-8 - Ewemoje, T. A. and Ashaolu, P. O., Lecturer in Soil and Water Conservation Engineering, University of Ibadan, Nigeria
1. SIMULATING THE IMPACT OF CLIMATE CHANGE ON YIELD
REDUCTION OF VEGETABLE CROP PROPAGATION USING CROPWAT-8
by
EWEMOJE, T. A. and ASHAOLU, P. O.
Agricultural and Environmental Engineering Department, University of Ibadan,
Ibadan, Nigeria.
Introduction Results
• Man’s activity such as deforestation Inconsistent variability in climate
has lead to climate change. change under CD, NI and DI.
• Climate change has both negative and Yield reduction was low under CD
positive impact on agriculture. and high for both DI and NI.
• This impact can be determined using No significant difference (p<0.05)
sensitivity analysis. between CD and NI.
• A simulation model is needed to carry Significant differences existed, at p <
out sensitivity analysis. 0.05 between DI and CD, also
• CROPWAT model was used. between at DI and NI.
Coefficient of determination (R2) is
Objectives
close to 1 therefore model is valid.
• Simulation of climate change impact
Yield reduction was low between July
on vegetable propagation using
and October, depicting better yield
CROPWAT-8.
during rainy season.
• Analyse weather forecasting for a 9-
year period for vegetable crop yield in
response to climate change.
• Model crop yield sensitivity to
changes in weather data in a tropical
environment.
Methods Source: www.fao.org/nr/water
• Study area: Ibadan, Nigeria. Conclusion
• Data: Climatic, Soil and Crop. Climate change is not constant
• Irrigation Schedule: No Irrigation, phenomenon, its ever changing.
irrigation (NI) and Critical Depletion Critical depletion is most preferred
(CD) with Definite Interval (DI). under uncertainty in variability of
• Statistics: Descriptive (Mean), Least climate change.
Square Difference (LSD) and T test. Planting should be done between July
and October; to reduce impacts of
climate change on yield.