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Experiment was carried out in the department of Agricultural and Bioresources Engineering, during the period of August to October, 2017. The hydraulic performance of a developed drip irrigation system was assessed. The experimental work was conducted on field with irrigated field area of 7 m x 3 m and lateral spacing was 0.35 m. Sixty (60) hospital drip sets (given sets) were used for the experiment as improved emitters. Volumetric method was used to determine application rate (PR) and emitters discharge. The emission uniformity, emitter flow variation, co-efficient of uniformity and co-efficient of variation were determined accordance with the equations described by the American Society of Agricultural Engineering (ASAE). Soil chemical properties were determined accordance with the American Public Health Association (APHA). The findings revealed that the soil in the area is classified as sand clay loam and normal soil. Results indicated that the mean and standard deviation of the emitters were 9.639 L/hr and 0.07 L/hr respectively. There were no emitters clogging. The emitter flow variation was 2.5 % and less than 10 % which was desirable range, while coefficient of variation was 0.07 and less than 0.11 which was marginal. The application rate was 17 mm hr-1 which was within the recommended range of 15 – 25 mm hr-1. The emission uniformity and coefficient of uniformity were 99.4% and 99.2% respectively, which shows that the system was well-designed. This finding indicated that hospital drip sets proved to the high quality. Therefore, it can be used as standard emitter.

The present level of irrigation system and poor output level of agricultural and horticultural products have triggered the need to look for a better management strategy under the current irrigation system. In order to suggest a feasible option, this study examines the present irrigation management structure in Benin-Owena River Basin Development Authority in Nigeria. Questionnaire and in-depth interviews were used for data collection. Data were analyzed using descriptive statistics. Results indicated that majority, (86 %), of the farmers were educated, 77 % were practising commercial farming, 50 % of the farmers have been practicing irrigation for over 20 years and 60 % adopted sprinkler methods, followed by drip (27%) and the most rarely used was basin with 3 %. The sources of water used were 30 % of stream, 29 % of well and 7 % lake. Findings indicated that (30 %) of the farmers were trained and visited by the workers of Benin-Owena River Basin Development Authority, (20 %) of the farmers were helped in their irrigation development, and only a few of the workers of Benin-Owena River Basin Development Authority (10 and 15 %) that assisted the farmers one way or the other were the professional expert in irrigation and related fields. Majority, (70 %), of the farmers were not fully integrated into the activities of the river-basin irrigation management structure. Hence, Benin-Owena River Basin Development Authority should be restructured to incorporate the irrigation stakeholders into the river-basin irrigation management structure

This study aims to improve the understanding of the impact changes being experienced in our climate system will have on the level of crop productivity in the immediate period as well as in the nearest future. Nigeria was used as a case study and an observed climatic dataset was obtained and used alongside collected 20 year cassava, rice and soybean yield data to develop models that were applied to estimate future crop yield. Four statistically downscaled and bias-corrected Global Climate Models (GCMs): NOAA, MIROC5, ICHEC, and NCC performed simulations for the period 1985–2100 under the Representative Concentration Pathway RCP8.5. These were used to predict how the yields of cassava, rice and soybean will be in the years 2020-2050 and 2070-2100 for the 36 states in Nigeria and the FCT. 89 Empirical models were developed to estimate the yields of the three crops earlier mentioned across Nigeria with their coefficient of determination (R2) ranging between 15% - 99%. The result showed an increase of 3.91% (P<0.001), 0.08, 1.79 (P<0.1) and a decrease of 0.93% for cassava yield for ICHEC, MIROC, NOAA and NCC respectively. It also projected an increase in yield of 8.88% (P<0.001), 7.77% (P<0.001), 6.62% (P<0.001) and 8.85% (P<0.001) for Rice yield using climatic data from ICHEC, MIROC, NOAA and NCC respectively. Soybean, increase in yield are 2.81% (P<0.01), 5.84% (P<0.001), 11.38 (P<0.001) and 9.06% (P<0.001) for ICHEC, MIROC, NOAA and NCC respectively.

This study was carried out to assess the variations of Reference Evapotranspiration (ETO also denoted with RET) calculated using FAO-56 Penman Monteith model of two locations Asaba and Uyo and evaluate its relationships with the variations of other climatic parameters. Meteorological data of forty one years (1975-2015) and thirty five years (1981-2015) period for Asaba and Uyo, respectively gotten from Nigeria Meteorological Agency, Abuja were used. It was observed that the variations of Evapotranspiration (ET) in both locations were in line with two seasons (rainy and dry) normally experienced in Nigeria having its highest value in March (4.8 mm/day) for Asaba and for Uyo in February (4.5 mm/day); and its lowest value in August (3.1 mm/day) for Asaba and in July (2.9 mm/day) for Uyo. ET variation when compared with other climatic variables in both locations was observed to have the same trend with maximum temperature, solar radiation and sunshine hours. It also has the same variation with minimum temperature though with slight deviation. It was observed that ET variation is inversely proportional to the variation relative humidity. Wind speed displayed relatively small variation in its trend over the study period and is not in line with the variations of ET.Keywords— Evapotranspiration, Climatic Variables, FAO Penman-Monteith Model, Variations