Pork production in the Tanzanian livestock master plan

Bill & Melinda Gates Foundatio

Effect of drip lateral spacing and irrigation regime on yield, irrigation water use efficiency and net return of tomato and onion production in the Kobo Girrana valley of Ethiopia

The irrigation system in Kobo-Girrana valley is extensively developed into modern drip irrigation using ground water sources. Tomato and onion are among the major vegetables grown under drip irrigation. However, the drip lateral spacing is fixed to 1m for all irrigated crops. This lead to low crop water productivity, loss of land, less net return income and un-optimized irrigation production. An on-station experiment was conducted to determine the effect of drip line spacing and irrigation regime on yield, irrigation water use efficiency and net return income. The experiment was carried out for two consecutive irrigation seasons in 2010/11 and 2011/12 at Kobo irrigation research station. The experimental treatments were: two lateral spacing of single row and double row corresponding to each test crop and three irrigation regime (Kp = 0.8, 1.0 and 1.2). The results revealed that an interaction effect between the lateral spacing and irrigation regime was obtained in marketable yield and water productivity of test crops. Application of 0.8 Kp with 2m lateral spacing and 1.2 Kp with 1m lateral spacing provided relatively higher marketable yield of tomato and onion, respectively. Similarly, high water productivity was recorded with same irrigation depths and spacing regimes as to the yield. This result generally revealed that one lateral design for each two plant rows gave high net income than the one lateral design for each one plant row for drip irrigated fresh marketable yield of onion and tomato. An optimized production and irrigation efficiency can be attained by applying irrigation depth adjusted by the given pan coefficients and drip lateral spacing in Kobo areas

Development of the chicken sector in the Tanzanian livestock master plan

Bill & Melinda Gates Foundatio

The use of RGB Imaging and FTIR Sensors for mineral mapping in the Reiche Zeche underground test mine, Freiberg

The application of sensor technologies for raw material characterization is rapidly growing, and innovative advancement of the technologies is observed. Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly dependent on the geological and operational environment. In this study the potential of RGB imaging and FTIR spectroscopy for the characterization of polymetallic sulphide minerals in a test case of Freiberg mine was investigated. A defined imaging procedure was used to acquire RGB images. The images were georeferenced, mosaicked and a mineral map was produced using a supervised image classification technique. Five mineral types have been identified and the overall classification accuracy shows the potential of the technique for the delineation of sulphide ores in an underground mine. FTIR data in combination with chemometric techniques were evaluated for discrimination of the test case materials. Experimental design was implemented in order to identify optimal pre-processing strategies. Using the processed data, PLS-DA classification models were developed to assess the capability of the model to discriminate the three material types. The acquired calibration and prediction statistics show the approach is efficient and provides acceptable classification success. In addition, important variables (wavelength location) responsible for the discrimination of the three materials type were identified

Avenues for Enhancing Traditional Livelihoods from Grasslands: Income Diversification Among Pastoral Women’s Groups in Southern Ethiopia

The rangelands of Africa remain home to millions of people who try to make a living by raising livestock on natural forage. Recent increase in human and livestock populations, however, along with a lack of economic development, has relegated many people to poverty and vulnerability. The semi-arid Borana Plateau of southern Ethiopia is a case in point. About 250,000 people herd one million head of livestock there. Thousands of animals die in periodic droughts and people are food insecure. It has been proposed that one way to better manage risk in this system is through economic diversification to reduce vulnerability (Desta & Coppock, 2002). The need to better address problems requires that local human capacity be built and solutions carefully targeted. To this end some members of the USAID-funded Pastoral Risk Management (PARIMA) project have adopted participatory research methods where scientists, communities, and development agents share power in a process of problem solving