STATISTICAL ANALYSIS OF THE EFFECT OF RAINFALL AND TEMPERATURE VARIABILITY ON SELECTED TUBER CROPS IN NIGERIA

This study on statistical analysis employed vector error correction (VEC) model to identify the effect of climatic variability on agricultural crops production in Nigeria. Johanson co-integration test is used to investigate the existence of long run relationship among climate variables and crop production. Argumented Dickey Fuller (ADF) test was used to establish the integration order of the climate variables and crops production. The secondary data was obtain from NBS and World Bank website from 1980 to 2017. The outcome of this research shows that all the variables are stationary at first difference. (Johanson co-integration test, show a long – run relationship), hence the VECM revealed that rainfall and temperature have a positive effect on cassava production, cocoyam and yam. Hence the study concludes that high temperature and rainfall will improve the productions of cassava, cocoyam and yam in Nigeri