<strong></strong><p>Food production in Nigeria is largely dependent on natural environmental resources like rainfall, temperature and relative humidity. This study examined the impact of some of these climatic variables on food production in Nigeria from 1975 to 2010. Secondary time series data obtained from FAOSTAT (Food and Agriculture Organization statistics) and Nigerian Meteorological Agency were used for the study. The data were analyzed using some econometric tools such as Augmented Dickey Fuller (ADF) test, Johansen Test and Vector Error Correction (VEC) Estimates. The ADF test reveals that relative humidity integrated at order zero level while rainfall and temperature and agricultural output were stationary after differencing at level 1 thus showing that the variables had relationship. The results of the Johansen co-integrated test revealed that there is one co-integrating equation at 5% showing a co-integrating relationship between agricultural output and the climatic variables. The Vector Error Correction Estimates indicated that rainfall was positively significant at 5% to food production on the short run indicating that vagaries in climate especially rainfall affected food production and output in Nigeria. It was recommended, therefore, that measure that could help to mitigate the adverse effects of inadequate rainfall e.g. irrigation, drought resistant crops varieties among others should be put in place by the government. Farmers should equally be sensitized and trained in the area of adaptation and mitigation of the effect of climate change as this will go a long way to ameliorate large scale failure in food production in the country.</p>
Enhancing crop yield through the adoption of fertility and eco-system enhancing agricultural technologies is an important step towards a sustainable food production system among rural farming households in developing countries. The study was therefore conducted using cross-sectional data from smallholder farming households to assess the effect of agroforestry technology on the yield of maize in Sapoba forest reserve in Orhionmwon Local Government area of Edo State, Nigeria. We correct for endogeneity in adoption and employ instrumental variables analysis to investigate the effect of adoption of the technology on the yield of maize. Our analysis shows that the adoption of the technology had positive and significant effect on the yield of maize in the study area. This finding provides empirical evidence that the yield of maize among smallholder maize farmers can be raised through the use of agroforestry technology.
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