Calcium, Magnesium, Iron, Zinc and Copper, Compositions of Human Milk from Populations with Cereal and ‘Enset’ Based Diets

Backround: As breast milk is normally the only source of food in the early stages of life, the dietary levels of the essential elements in the milk of lactating mothers are significantly important. Ethiopia is a country of many nations and nationalities with distinct dietary habits. This variation in food habit may result in the variation of the nutritional quality of milk of lactating mothers who live in different part of the country, which in turn may affect the intake of nutrients by breast-fed infants. Therefore, a cross-sectional study of the levels of Ca, Mg, Fe, Zn and Cu in milk of mothers from societies with cereal and ‘enset’ based dietary habits was carried out to assess the influence of maternal diet on the levels of the elements in human milk.Methods: Milk samples were collected from 27 voluntary mothers in Jimma and in 18 rural areas of Welkite. Breast milk samples were collected within four days postpartum and the concentrations of the elements were determined by using FAAS.Results: Average concentrations (mg/L) of the elements determined in the milk of mothers from Jimma and rural Welkite respectively were: Ca (758 ± 107, 579 ± 168); Mg (22.6 ± 7.87, 30.5 ± 13.4); Fe (0.50 ± 0.08, 0.41 ± 0.17); Zn (2.3 ± 1.2, 2.49 ± 0.88) and Cu (0.28 ± 0.14, 0.16 ± 0.08).Conclusions: Milk samples from Jimma were found to have significantly higher levels of Ca and Cu than those of rural Welkite (P < 0.05). Breast milk Ca and Cu levels were thus found to be influenced by dietary intake.Keywords: Human milk, Ethiopia, Welkite, Jimma, Essential elements, ‘Teff’, ‘Enset’

Dry Spell Length Analysis for Crop Production Using Markov-Chain Model in Eastern Hararghe, Ethiopia

The information on the length of dry spells could be used for deciding a particular crop or variety, supplementary irrigation water demand and for others agricultural activities. The study was conducted in three districts: Babile, Haramaya and Kersa, eastern Hararghe, Ethiopia. The aim of the study was to analyze dry spell lengths and its implications on crop production in eastern Hararghe, so as to minimize unexpected damage due to long dry spells and to have effective and efficient planning for farming communities. Thirty years of rainfall data for each district were collected form National Meteorological Agency of Ethiopia. Data quality control has been done prior to analysis. Markov-Chain model were employed to analyze the collected data. The result of the study revealed that dry spells were highly hitting Babile district comparing to the other two districts. The probability of dry spell lengths of 5 and 7 days in Babile district was found to be about 99 and 80%, respectively. Whereas, in Haramaya district, the probability of dry spell length of 5 days was found to be 80% during 181(Days of the Year) DOY, then it falls to below 50 % by 221DOY. Moreover, the probability of the occurrences of dry spells of 10, 15, and 20 days were below 5% in Haramaya district during the main rainy season. The study also investigated that in Kersa district, the probability of occurrences of the dry spell lengths of 5, 7, 10, 15, and 20 days were estimated to fall below 30%, showing that the area was better in crop production as compared to the rest districts. The annual rainfalls in all the districts were decreasing as per the trend line and variable in all the districts: Babile, Haramaya and Kersa districts, having the CV values of, 41, 34 and 31%, respectively. Information regarding dry spell length analysis has to be well understood at grass root levels to ensure food security via lifesaving irrigation schemes or any other options

Runoff estimation and water management for the Holetta river in Ethiopia

The hydrology of Holetta River and its seasonal variability is not fully studied. In addition to this, due to scarcity of the available surface water and increase in water demand for irrigation, the major users of the river are facing a challenge to allocate the available water. Therefore, the aim of this research was to investigate the water availability of Holetta River and to study the water management in the catchment. Soil and Water Assessment Tool (SWAT) modelled the rainfall runoff process of the catchment. Statistical (coefficient of determination [R2], Nash- Sutcliffe Efficiency Coefficient [NSE] and Index of Volumetric Fit [IVF]) and graphical methods used to evaluate the performance of SWAT model. The result showed that R2, NSE and IVF were 0.85, 0.84 and 102.8, respectively for monthly calibration and 0.73, 0.67 and 108.9, respectively, for monthly validation. These indicated that SWAT model performed well for simulation of the hydrology of the watershed. After modelling the rainfall runoff relation and studying the availability of water at the Holetta River, the water demand of the area assessed. CropWat model and the survey analysis performed to calculate the water demand in the area. The total water demand of all three major users was 0.313, 0.583, 1.004, 0.873 and 0.341 MCM from January to May, respectively. The available river flow from January to May obtained from the result of SWAT simulation. The average flow was 0.749, 0.419, 0.829, 0.623 and 0.471 MCM from January to May respectively. From the five months, the demand and the supply showed a gap during February, March and April with 0.59 MCM. Therefore, in order to solve this problem alternative source of water supply should be studied and integrated water management system should be implemented

Molecular diversity study of black cumin (Nigella sativa L.) from Ethiopia as revealed by inter simple sequence repeat (ISSR) markers

Nigella sativa L. (commonly known as black cumin) belonging to family Rannunculaceae is an important medicinal plant with worldwide distribution. In Ethiopia, N. sativa occurs in all regions and agro-ecologies at different altitudinal ranges. This plant has a lot of importance in Ethiopia. However, there is no information available on molecular genetic diversity of this crop in respect to Ethiopia. Therefore, the aim of this study was to investigate the genetic diversity of black cumin populations collected from Amhara, Oromia, Tigray, Benshangul and South Nation’s Nationality People regions of Ethiopia using ISSR marker. A total of 84 black cumin accessions were obtained from Institute of Biodiversity Conservation (IBC). The ISSR marker was used for computing gene diversity, percent polymorphism, Shannon diversity index and AMOVA. Overall, accessions from Oromia showed the highest gene diversity (H = 0.35) and Shannon information index (I= 0.52), followed by Amhara with gene diversity and Shannon index values of (0.35) and (0.51), respectively. NJ and UPGMA results showed strong grouping among accessions collected from the Oromia and Amhara region. The five geographical regions of Ethiopia showed different levels of genetic variation. Thus, conservation priority should be given for those regions that have low genetic diversity.Keywords: Conservation, indigenous, molecular markers, primer

Scaling up climate services for agriculture in Mali Initial findings from piloted implementation of PICSA approach in Africa RISING project intervention zone, southern Mali

The Participatory Integrated Climate Services for Agriculture (PICSA) approach, designed by the University of Reading (UoR), focuses on improving farmers' livelihood and resilience against the effect of climate change. It provides farmers with accurate, locally specific climate and weather information; coupled with diverse, locally pertinent options for crops, livestock and other livelihood activities; and the use of participatory planning tools to improve and enlighten their decision making based on their individual situations. PICSA is a step by step approach, primarily designed for field extensionists to help them integrate new tools in their activities with farmers and improve the efficiency and impact of those activities on farmer's enterprises

Modeling the probability of giving birth at health institutions among pregnant women attending antenatal care in West Shewa Zone, Oromia, Ethiopia: A cross sectional study

Background: Although ante natal care and institutional delivery is effective means for reducing maternal morbidity and mortality, the probability of giving birth at health institutions among ante natal care attendants has not been modeled in Ethiopia. Therefore, the objective of this study was to model predictors of giving birth at health institutions among expectant mothers following antenatal care.Methods: Facility based cross sectional study design was conducted among 322 consecutively selected mothers who were following ante natal care in two districts of West Shewa Zone, Oromia Regional State, Ethiopia. Participants were proportionally recruited from six health institutions. The data were analyzed using SPSS version 17.0. Multivariable logistic  regression was employed to develop the prediction model.Results: The final regression model had good discrimination power (89.2%), optimum sensitivity (89.0%) and specificity (80.0%) to predict the probability of giving birth at health institutions. Accordingly, self efficacy (beta=0.41), perceived barrier (beta=-0.31) and perceived susceptibility (beta=0.29) were significantly predicted the probability of giving birth at health institutions.Conclusion: The present study showed that logistic regression model has predicted the probability of giving birth at health institutions and identified significant predictors which health care providers should take into account in promotion of institutional delivery.Key word: Institutional delivery, intention, ANC, probabilit

Water Demand Analysis and Irrigation Requirement for Major Crops at Holetta Catchment, Awash Subbasin, Ethiopia

The water demand and irrigation requirement of Holetta Catchment is not fully studied. In addition to this, due to scarcity of the available surface water and increase in water demand for irrigation, the major users of the river are facing a challenge to allocate the available water. Therefore, the aim of this research was to investigate the water demand of the major users of Holetta River and to study the irrigation requirement for major crops at Holetta catchment using questionnaire survey, statistical methods, and CropWat model. Structured questionnaire was used to identify information such as the number of Holetta River users, major crops grown by irrigation and the total area coverage. The major users are Holetta Agricultural Research Center (HARC), Tesdey Farm and Village Farmers. CropWat model was used to calculate the irrigation water requirement for major crops. Based on the result of CropWat model and survey analysis, the total irrigation requirement of all three users of Holetta River was 0.305, 0.575, 0.995, 0.865, and 0.332 MCM for January, February, March, April, and May respectively. The analysis also indicated the total water demand of all three major users of Holetta River during the irrigation season from January to May. The total water demand was 0.313, 0.583, 1.004, 0.873 and 0.341 million cubic meters (MCM) for January, February, March, April, and May respectively. The available river flow from January to May was 0.749, 0.419, 0.829, 0.623 and 0.471 MCM respectively. From the five months, the demand and the supply showed a gap during February, March and April. The total shortage of supply during these months was 0.59MCM. During these months, there was also conflict between users at diversion and water allocation. Therefore, in order to solve water shortage, alternative source of water supply like ground water and water harvesting technologies should be studied and integrated water management system should be implemented. In addition to this, to improve the efficiency of irrigation water, different irrigation methods like drip irrigation should be improved in the area