Cost and Benefit Analysis of Dairy Farms in the Central Highlands of Ethiopia
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Districts of Ethiopia
Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa -- -
Next Stage for Dairy Development in Ethiopia
The NEXT STAGE IN DAIRY DEVELOPMENT FOR ETHIOPIA Dairy Value Chains, End Markets and Food Security Cooperative Agreement 663-A-00-05-00431-00 Submitted by Land O'Lakes, Inc. P.O. Box 3099 code 1250, Addis Ababa, Ethiopia November 2010 2 TABLE OF CONTENT Pages ACRONYMNS…………………………………………………………………………………. 5 EXECUTIVE SUMMARY …………………………………………………………………... 6 1. OVERVIEW OF THE DAIRY SUB-SECTOR STUDY………………………………….10 1.1. The Role of the Dairy Sub-Sector in the Economy of Ethiopia 1.1.1. Milk Production and its Allocation 1.1.2 Livestock and Milk in the household economy 1.2. The Challenges 1.3. A Value Chain Approach 1.4. The Tasks and the Study Team 2. DEMAND FOR MILK AND MILK PRODUCTS…………………………………….…. 15 2.1. Milk Consumption 2.1.1. Milk and Milk Product Consumption in Urban Areas 2.1.2. Milk and Milk Product Consumption in Rural Areas 2.1.3. Milk and Milk Product Consumption in Pastoral Areas 2.2. Milk Consumption Compared to Other Countries 2.3. Milk’s Role for Food Security and Household Nutrition 2.4. Consumption of Imported Milk Products by Areas and Product Categories – domestic and imported 2.5. Milk Consumption in 2020 2.5.1.. High Estimate 2.5.2. Middle of the Range Estimate 2.5.3. Low Estimate 2.6. Assessment 3. DAIRY PRODUCTION……………………………………………………………..…… 30 3.1. Current Situation 3.2. Milk Production Areas (waiting on the maps) 3.3. Production systems and Milk Sheds (see zonal data in annex 3.3.1. Commercial Production 3.3.2. Peri-Urban and Urban Production 3.3.3. -
Role of Female and Male Headed Households in Dairy Production, Processing and Marketing in Walmera District of Central High Lands of Ethiopia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.6, No.23, 2016 Role of Female and Male Headed Households in Dairy Production, Processing and Marketing in Walmera District of Central High Lands of Ethiopia Alganesh Tola 1* Abdi Kaba 1 Mebrat Hailu 1 Zerihun Asefa 1 Kasahun Melesse 2 1.Holeta Agricultural Research Center 2.Debre Ziet Agricultural Research Center Ethiopian Institute of Agricultural Research P. O. Box 2003, Addis Ababa, Ethiopia Abstract A formal survey was conducted in Rob Gebeya women dairy producers of Walmera districts of West Shewa in central highlands of Ethiopia. The objective of the study was to identify constraints of female headed households (FHH) in comparison with male headed households (MHH) in dairy production, handling, processing and marketing. A total of 66 dairy producer households were randomly selected from a women dairy producer association in Rob Gebeya ‘kebele’ of Walmera district. The average family size (Mean ± SE) in the FHHs in Rob Gebeya was 4.8 ± 0.7 persons per household whereas the MHHs was 6.0 ± 0.3 persons. FHHs had less access to education than MHHs in Rob Gebeya. Dairy and food crop based farming enterprises were identified as major sources of livelihood. Record keeping is not common in more than half of the respondents both in female and male headed households. The situation is more aggravated in FHH where more than 80% of the FHHs do not keep any type of farm record. -
Oromia Region Administrative Map(As of 27 March 2013)
ETHIOPIA: Oromia Region Administrative Map (as of 27 March 2013) Amhara Gundo Meskel ! Amuru Dera Kelo ! Agemsa BENISHANGUL ! Jangir Ibantu ! ! Filikilik Hidabu GUMUZ Kiremu ! ! Wara AMHARA Haro ! Obera Jarte Gosha Dire ! ! Abote ! Tsiyon Jars!o ! Ejere Limu Ayana ! Kiremu Alibo ! Jardega Hose Tulu Miki Haro ! ! Kokofe Ababo Mana Mendi ! Gebre ! Gida ! Guracha ! ! Degem AFAR ! Gelila SomHbo oro Abay ! ! Sibu Kiltu Kewo Kere ! Biriti Degem DIRE DAWA Ayana ! ! Fiche Benguwa Chomen Dobi Abuna Ali ! K! ara ! Kuyu Debre Tsige ! Toba Guduru Dedu ! Doro ! ! Achane G/Be!ret Minare Debre ! Mendida Shambu Daleti ! Libanos Weberi Abe Chulute! Jemo ! Abichuna Kombolcha West Limu Hor!o ! Meta Yaya Gota Dongoro Kombolcha Ginde Kachisi Lefo ! Muke Turi Melka Chinaksen ! Gne'a ! N!ejo Fincha!-a Kembolcha R!obi ! Adda Gulele Rafu Jarso ! ! ! Wuchale ! Nopa ! Beret Mekoda Muger ! ! Wellega Nejo ! Goro Kulubi ! ! Funyan Debeka Boji Shikute Berga Jida ! Kombolcha Kober Guto Guduru ! !Duber Water Kersa Haro Jarso ! ! Debra ! ! Bira Gudetu ! Bila Seyo Chobi Kembibit Gutu Che!lenko ! ! Welenkombi Gorfo ! ! Begi Jarso Dirmeji Gida Bila Jimma ! Ketket Mulo ! Kersa Maya Bila Gola ! ! ! Sheno ! Kobo Alem Kondole ! ! Bicho ! Deder Gursum Muklemi Hena Sibu ! Chancho Wenoda ! Mieso Doba Kurfa Maya Beg!i Deboko ! Rare Mida ! Goja Shino Inchini Sululta Aleltu Babile Jimma Mulo ! Meta Guliso Golo Sire Hunde! Deder Chele ! Tobi Lalo ! Mekenejo Bitile ! Kegn Aleltu ! Tulo ! Harawacha ! ! ! ! Rob G! obu Genete ! Ifata Jeldu Lafto Girawa ! Gawo Inango ! Sendafa Mieso Hirna -
Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and Its Surroundings, Central Ethiopia
Research Article Journal of Veterinary Science & Technology Volume 12:3, 2020 ISSN: 2157-7579 Open Access Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and its Surroundings, Central Ethiopia Seifu Hailu* Ministry of Agriculture, Addis Ababa, Ethiopia Abstract A cross section study was conducted during November 2011 to March 2012 to determine the prevalence of Cysticercosis in animals, Taeniasis in human and estimate the worth of Taeniasis treatment in Holeta town. Active abattoir survey, questionnaire survey and inventories of pharmaceutical shops were performed. From the total of 400 inspected animals in Holeta municipality abattoir, 48 animals had varying number of C. bovis giving an overall prevalence 12% (48/400). Anatomical distribution of the cyst showed that highest proportions of C. bovis cyst were observed in tongue, followed by masseter, liver and shoulder heart muscles. Of the total of 190 C. bovis collected during the inspection, 89(46.84%) were found to be alive while other 101 (53.16%) were dead cysts. Of the total 70 interviewed respondents who participated in this study, 62.86% (44/70) had contract T. saginata Infection, of which, 85% cases reported using modern drug while the rest (15%) using traditional drug. The majority of the respondent had an experience of raw meat consumption as a result of traditional and cultural practice. Human Taeniasis prevalence showed significant difference (p<0.05) with age, occupational risks and habit of raw meat consumption. Accordingly individuals in the adult age groups, occupational high risk groups and habit of raw meat consumers had higher odds of acquiring Taeniasis than individuals in the younger age groups, occupational law risk groups and cooked meat consumers, respectively. -
Administrative Region, Zone and Woreda Map of Oromia a M Tigray a Afar M H U Amhara a Uz N M
35°0'0"E 40°0'0"E Administrative Region, Zone and Woreda Map of Oromia A m Tigray A Afar m h u Amhara a uz N m Dera u N u u G " / m r B u l t Dire Dawa " r a e 0 g G n Hareri 0 ' r u u Addis Ababa ' n i H a 0 Gambela m s Somali 0 ° b a K Oromia Ü a I ° o A Hidabu 0 u Wara o r a n SNNPR 0 h a b s o a 1 u r Abote r z 1 d Jarte a Jarso a b s a b i m J i i L i b K Jardega e r L S u G i g n o G A a e m e r b r a u / K e t m uyu D b e n i u l u o Abay B M G i Ginde e a r n L e o e D l o Chomen e M K Beret a a Abe r s Chinaksen B H e t h Yaya Abichuna Gne'a r a c Nejo Dongoro t u Kombolcha a o Gulele R W Gudetu Kondole b Jimma Genete ru J u Adda a a Boji Dirmeji a d o Jida Goro Gutu i Jarso t Gu J o Kembibit b a g B d e Berga l Kersa Bila Seyo e i l t S d D e a i l u u r b Gursum G i e M Haro Maya B b u B o Boji Chekorsa a l d Lalo Asabi g Jimma Rare Mida M Aleltu a D G e e i o u e u Kurfa Chele t r i r Mieso m s Kegn r Gobu Seyo Ifata A f o F a S Ayira Guliso e Tulo b u S e G j a e i S n Gawo Kebe h i a r a Bako F o d G a l e i r y E l i Ambo i Chiro Zuria r Wayu e e e i l d Gaji Tibe d lm a a s Diga e Toke n Jimma Horo Zuria s e Dale Wabera n a w Tuka B Haru h e N Gimbichu t Kutaye e Yubdo W B Chwaka C a Goba Koricha a Leka a Gidami Boneya Boshe D M A Dale Sadi l Gemechis J I e Sayo Nole Dulecha lu k Nole Kaba i Tikur Alem o l D Lalo Kile Wama Hagalo o b r Yama Logi Welel Akaki a a a Enchini i Dawo ' b Meko n Gena e U Anchar a Midega Tola h a G Dabo a t t M Babile o Jimma Nunu c W e H l d m i K S i s a Kersana o f Hana Arjo D n Becho A o t -
Ethiopia: Floods
Emergency Plan of Action (EPoA) Ethiopia: Floods DREF n° MDRET018 Glide n° FL-2017-000139-ETH nd For DREF; Date of issue: 22 September 2017 Expected timeframe: Three months Expected end date: 8 December 2017 Project Manager/Budget Manager IFRC: This person is National Society Focal Point: This person is responsible for the compliance, reporting and responsible for the compliance, reporting and implementation of the operation from IFRC. implementation of the operation from ERCS. Andreas SANDIN- Operation Coordinator Engida Mandefro- Deputy Secretary General- DRM DREF allocated: CHF 269,051 Total number of people affected: Number of people to be assisted: 2,103 HHs (10,515 1 Floods: 18,628 HHs (93,140 people) people) Civil unrest: 45,000 HHs (225,000 people) Host National Society presence (n° of volunteers, staff, branches): Ethiopian Red Cross Society (ERCS), has 11 Regional branches, 33 Zones, 80 Districts structures, with 1,300 staff, and over 3,000 grass root committees and 29,331 youth and adult volunteers through the country. A total of 168 BDRTs and 16 NDRTs have also been trained. Red Cross Red Crescent Movement partners actively involved in the operation: Austrian Red Cross, Canadian Red Cross, Finnish Red Cross, ICRC, IFRC, Netherlands Red Cross and Spanish Red Cross. Other partner organizations actively involved in the operation: IOM, International Rescue Committee, National Disaster Risk Management Commission and UNICEF. A. Situation analysis Description of the disaster In Ethiopia, rainfall attributed to the Kiremt rains, which began on 8 September 2017 has led to extensive flooding. The Ambeira zone in Afar region, and special zones surrounding Addis Ababa (the capital), Jima, South-east Shewa, and South-west Shewa in the Oromia region have been worst affected by the rains and flooding. -
Do They Really Behave Differently? Implications for Maternal and Child Healthy Behavior Diffusi
Kebede et al., Prim Health Care 2019, 9:2 alt y He hca ar re : im O r p P e f n o A l c a c n e r s u s o Primary Health Care: Open Access J ISSN: 2167-1079 Research Article Open Access They were Claimed Model Mothers: Do They Really Behave Differently? Implications for Maternal and Child Healthy Behavior Diffusion in Rural Contexts of Central Ethiopia Yohannes Kebede1*, Eshetu Girma2 and Gemechis Etana1 1Department of Health, Behavior and Society, Institute of Health, Faculty of Public Health, Jimma University, Ethiopia 2School of Public Health, Addis Ababa University, Ethiopia Abstract Background: Health Extension Program (HEP) was launched-innovative community health service since 2002 in Ethiopia. Since then, families have been graduating as models for the HEP. This study intended to compare model and non-model families (MFs and NMFs) on MCH behaviors. Methods: We conducted correlational study between mothers' model status and MCH service use in Sebeta Hawas district, Oromia, Ethiopia. A total of 305 samples of MFs and NMFs were involved in the study. We applied simple random sampling. We used a questionnaire adapted from literatures together with discussion guides. It mainly composed of utilization of Family Planning (FP), antenatal care (ANC), delivery care (DC), postnatal care (PNC) and immunization. We analyzed the quantitative data using Statistical Package for Social Sciences (SPSS) version 16. Finally, we triangulated the quantitative and qualitative findings. Results: The study showed statistically significant variations between MFs and NMFs over family size, knowledge of (ANC, delivery complications and PNC) and utilization of (FP and ANC visits). -
Metropolitan Agriculture
Metropolitan Agriculture Wuhan and Addis Ababa, two developing metropoles C.J.M. van der Lans1, H. Hengsdijk2, A. Elings1, J.W. van der Schans3, A.J.A. Aarnink4 and M. Yao5 1 Wageningen UR Greenhouse Horticulture 2 Plant Research International 3 LEI 4 Wageningen UR Livestock Research 5 Wageningen UR Office in China Report GTB-1072 © 2011 Wageningen, Wageningen UR Greenhouse Horticulture (Wageningen UR Glastuinbouw) Wageningen UR Greenhouse Horticulture Adress : Violierenweg 1, 2665 MV Bleiswijk : Postbus 20, 2665 ZG Bleiswijk Tel. : 0317 - 48 56 06 Fax : 010 - 522 51 93 E-mail : [email protected] Internet : www.glastuinbouw.wur.nl Inhoudsopgave 1 Management summary 5 2 Metropolitan agriculture 9 2.1 Need of knowledge 9 2.2 Project goals 10 2.3 Project team 10 3 Approach 11 3.1 Metropolitan agriculture – an integrative view 11 3.2 Case study China 13 3.3 Case study Africa 14 4 Focus on China: the metropolitan region of Wuhan 15 4.1 An introduction to metropolis Wuhan 15 4.2 Land use 18 4.3 Agricultural production types and production 19 4.3.1 Agricultural production types 19 4.3.2 Production 21 4.4 Supply chains 21 4.4.1 Supply of inputs 21 4.4.2 Marketing of output 21 4.5 Environment 21 4.6 Government 25 4.7 Social context 27 4.7.1 Employment data 27 4.7.2 Issues regarding agricultural employment, social care and future developments 28 4.7.3 Consumption 29 4.8 Two scenarios for Wuhan 29 4.8.1 Land Use Patterns and Theories to Explain these Patterns 29 4.8.2 Agriculture development in China 31 4.8.3 Competing paradigms in metropolitan -
Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected from Walmara, Ethiopia
International Journal of Advanced Research in Chemical Science (IJARCS) Volume 6, Issue 7, 2019, PP 23-33 ISSN No. (Online) 2349-0403 DOI: http://dx.doi.org/10.20431/2349-0403.0607004 www.arcjournals.org Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected From Walmara, Ethiopia Deressa Kebebe1*, Alemayehu Paulos2, Ermias Haile3 Department of Chemistry, Hawassa University, Hawassa, Ethiopia *Corresponding Author: Deressa Kebebe, Department of Chemistry, Hawassa University, Hawassa, Ethiopia Abstract: This study was conducted to investigate pesticide residues, heavy metals and physicochemical parameters levels in honey samples. In this study, the results of moisture content, electrical conductivity, pH and ash were 15.15 –21.75%, 0.45–1.55 mScm-1, 3.50–4.50, and 0.18–0.80% and that of Fe, Zn, Cu, Pb, Cd, Ni and Cr were analyzed by using flame atomic absorption spectrophotometer and the concentrations ranged from 4.87-11.79 µg/g, 1.41-6.94 µg/g, 0.22-1.22 µg/g, 0.37-0.90 µg/g, 0.04-0.70 µg/g, 0.26-0.60 µg/g and 0.16-0.50µg/g with mean concentration ranges, respectively. All metals were determined by using atomic absorption spectrophotometer except Fe that was determined by using UV-visible spectrophotometer. The percentage recovery for metal analyses was from 85% to 104%. Cd, Cu, Cr and Pb concentrations in honey samples from all sites were not significantly different but Fe, Zn and Ni levels were significantly different at (p<0.05). Pesticide residues in the honey samples were determined by using gas chromatography coupled with mass spectrometer technique. -
1. Introduction the Relationship Between Women's Work And
The Effect of Women’s Employment on Marriage Formation: The case of rural women in Sebeta Hawas District, Central Ethiopia. (Aynalem Megersa1, Workneh Negatu2, and Eshetu Gurmu3) 1. Introduction The relationship between women’s work and marriage is a widely studied issue. However, much of the literature focuses on the experiences of women in the western countries (see Kuo & Raley, 2014; Lichter et al., 1992), and is in some cases a comparative cross national research in its nature (Ono, 2003). Case studies from developing countries, especially Sub Saharan Africa, tend to be scanty in the body of literature. This little attention is primarily attributed to the fact that women’s employment in the region is related to subsistence agriculture where women primarily engage in unpaid family work in addition to their homemaking responsibilities. Though this pattern is still a fact, women are increasingly improving their market share in the income-earning employment (self-employment and wage employment) over time. For example, looking at the national statistics for Ethiopia (FDRE, 2005; CSA, 2011b), while only 26.8 percent of women were engaged in income-earning activities in 1994, this figure has increased to 59.6 percent in 2007. The statistics also shows that the increasing trend of women’s participation during the aforementioned period is attributed to the tremendous increase observed in the figure among rural women than urban women. This increasing women’s participation in income earning activities is attributed to the Ethiopian government’s increasing attention on job creation for the citizens in general and women in particular in its effort to alleviate poverty. -
Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia
2015Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia IOM OIM IOM PRESENCE In EthIOpIA IOM Presence in Ethiopia ETHIOPIA: Administrative Map (as of 14 January 2011) R ShireERITREA E Legend Tahtay Erob Laelay Adiyabo Mereb Ahferom Gulomekeda \\( Adiyabo Leke D National Capital Ganta Medebay Dalul North Adwa Afeshum Saesie Tahtay Zana Laelay Tsaedaemba Kafta Western Maychew PP Koraro Central Humera Asgede Tahtay Eastern Regional Capital Naeder Werei Hawzen Western Tsimbila Maychew Adet Leke Koneba Berahle Welkait Kelete Atsbi S Tigray Awelallo Wenberta International Boundary Tselemti Kola Degua Tsegede Mekele E Temben Temben P Addi Tselemt Tanqua Afdera Zone 2 Enderta Arekay Abergele Regional Boundary Tsegede Beyeda Ab Ala Mirab Saharti A Armacho Debark Samre Hintalo Erebti Abergele Wejirat Tach Megale Bidu Zonal Boundary Armacho Dabat Janamora Alaje Lay Sahla North Armacho Wegera Southern Ziquala Woreda Boundary Metema Gonder Sekota Endamehoni Raya Wag Azebo Chilga Yalo Amhara East Ofla Teru West Belesa Himra Kurri Gonder Dehana Belesa Lake Dembia Zuria Gaz Alamata Zone 4 Quara Gibla Semera Elidar Takusa Libo Ebenat Gulina Kemkem Bugna Lasta Kobo Awra Afar Gidan Lake Tana South (Ayna) 0 50 100 200 km Ewa Alfa Fogera Gonder North ¹ Lay Zone 1 Farta Meket Guba Lafto Dubti Gayint Asayta Semen Wollo P Jawi Achefer Tach Habru Chifra Bahr Dar East Wadla Delanta G U L F O F A D E N P Gayint Aysaita Creation date:14 Jan.2011 Dera Esite Bahirdar Ambasel Map Doc Name:21_ADM_000_ETH_011411_A0