Prioritization of Shelter/NFI Needs
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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 -- -
The Prevalence and Associated Risk Factors of Small Ruminant Lungworm Infection in and Around Shashemene, Oromia, Ethiopia
Int. J. Adv. Res. Biol. Sci. (2020). 7(8): 37-47 International Journal of Advanced Research in Biological Sciences ISSN: 2348-8069 www.ijarbs.com DOI: 10.22192/ijarbs Coden: IJARQG (USA) Volume 7, Issue 8 -2020 Research Article DOI: http://dx.doi.org/10.22192/ijarbs.2020.07.08.005 The Prevalence and Associated Risk Factors of Small Ruminant Lungworm Infection in and Around Shashemene, Oromia, Ethiopia. Nageso Hussein1, Abdulaziz Ousman2*, Faruk Amano3, Habib Hedato4, Fikadu Tesfaye5, and Ayele Beyene6 1Samara University, Faculity of Veterinary Medicine, Samara, Ethiopia. 2North Shawa Zone Yaya Gulalle District Livestock and Fishery Resource Development Office, Oromia, Ethiopia. 3West Arsi Adaba District Livestock and Fishery resource development Office, Oromia, Ethiopia. 4West Arsi Zone Siraro District Livestock and Fishery resource development Office, Oromia, Ethiopia 5Animal Health field officer at Brooke Ethiopia Project in Dodola Site, Oromia, Ethiopia. 6Arsi Zone Seru District Livestock and Fishery resource development Office, Oromia, Ethiopia Abstract A cross-sectional study were carried out from November 2018 to March 2019 in and around Shashemene, West Arsi, Oromia Regional States, Ethiopia to estimate the prevalence of lungworm infection in small ruminants, to assess associated risk factors in study area and to identify species of parasites involved by coprological examination. A total of 384 fecal samples were collected from randomly selected small ruminant (270 sheep and 114 goats) and examined for lungworm parasites. The modified Baerman techniques were implemented for the extraction of first stage larvae of lungworm. Out of 384 small ruminant examined 36 (9.4%) were found to be positive for one or more species of lungworm parasite. -
ETHIOPIA - National Hot Spot Map 31 May 2010
ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly. -
Ethiopia Bellmon Analysis 2015/16 and Reassessment of Crop
Ethiopia Bellmon Analysis 2015/16 And Reassessment Of Crop Production and Marketing For 2014/15 October 2015 Final Report Ethiopia: Bellmon Analysis - 2014/15 i Table of Contents Acknowledgements ................................................................................................................................................ iii Table of Acronyms ................................................................................................................................................. iii Executive Summary ............................................................................................................................................... iv Introduction ................................................................................................................................................................ 9 Methodology .................................................................................................................................................. 10 Economic Background ......................................................................................................................................... 11 Poverty ............................................................................................................................................................. 14 Wage Labor ..................................................................................................................................................... 15 Agriculture Sector Overview ............................................................................................................................ -
Thesis on Cattle Marketing
SAINT MARY’S UNIVERSITY INSTITUTE OF AGRICULTURE AND DEVELOPMENT STUDIES GROSS MARGIN ANALYSIS OF CATTLE MARKETING IN WEST SHOA ZONE: A CASE STUDY OF GINCHI LIVESTOCK MARKET BY DEJENE TAKELE GEBISSA JULY, 2014 ADDIS ABABA, ETHIOPIA 1 GROSS MARGIN ANALYSIS OF CATTLE MARKETING IN WEST SHOA ZONE: A CASE STUDY OF GINCHI LIVESTOCK MARKET A THESIS SUBMITTED TO, SAINT MARY’S UNIVERSITY INSTITUTE OF AGRICULTURE AND DEVELOPMENT STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF AGRICULTURAL ECONOMICS BY DEJENE TAKELE GEBISSA JULY, 2014 ADDIS ABABA, ETHIOPIA i DECLARATION I declare that this thesis entitled “Gross Margin Analysis of Cattle Marketing in West Shoa Zone: The Case of Ginchi Livestock Market” is my original work and has submitted for the partial fulfillment of MSc. Degree in Agricultural Economics. The study has not been presented for a degree fulfillment in any university and that all sources of data used for the thesis have been duly acknowledged. Name: Dejene Takele Gebissa Signature: ___________ Date: July, 2014 ii ENDORSEMENT As thesis research advisor, I hereby certify that I have read and evaluated this thesis prepared, under my guidance, by Dejene Takele entitled “Gross Margin Analysis of Cattle Marketing in West Shoa Zone: A Case Study of Ginchi Livestock Market.” I recommend that it be submitted as fulfilling the thesis requirement. ______________________ ______________________ Date: July, 2014 Advisor Signature iii EXAM APPROVAL SHEET SAINT MARY’S UNIVERSITY INSTITUTE OF AGRICULTURE AND DEVELOPMENT STUDIES As member of the Board of Examiners of the M.Sc Thesis Open Defense, we certify that we have read and evaluated the Thesis prepared by Dejene Takele and examined the candidate. -
Grain Market Research Project
Grain Market Research Project PROMOTING FERTILIZER USE IN ETHIOPIA: THE IMPLICATIONS OF IMPROVING GRAIN MARKET PERFORMANCE, INPUT MARKET EFFICIENCY, AND FARM MANAGEMENT Mulat Demeke Ali Said T.S. Jayne WORKING PAPER 5 GRAIN MARKET RESEARCH PROJECT MINISTRY OF ECONOMIC DEVELOPMENT AND COOPERATION ADDIS ABABA MARCH 1997 PROMOTING FERTILIZER USE IN ETHIOPIA: THE IMPLICATIONS OF IMPROVING GRAIN MARKET PERFORMANCE, INPUT MARKET EFFICIENCY, AND FARM MANAGEMENT MULAT DEMEKE ALI SAID T.S. JAYNE MARCH 1997 This is a revised and expanded version of a paper presented at the Grain Market Research Project Discussion Forum, November 8-9, 1996, Sodere, Ethiopia, sponsored by the Ministry of Economic Development and Cooperation, Government of Ethiopia. Mulat Demeke is Lecturer, Addis Ababa University, Ali Said is Research Scholar, Ministry of Economic Development and Cooperation; and T.S. Jayne is Visiting Associate Professor, Michigan State University. The authors thank Aklu Girgre, Daniel Molla, Asres Workneh, Steven Franzel, Valerie Kelly, and Jim Shaffer for comments on a previous draft. TABLE OF CONTENTS 1. BACKGROUND ...................................................... 1 2. THE PROFITABILITY OF FERTILIZER USE .............................. 7 2.1. Factors Influencing Fertilizer Use .................................. 7 2.2. Measuring the Profitability of Fertilizer .............................. 7 (a) The value-cost ratio (VCR)................................ 8 (b) The reservation price of fertilizer........................... 10 3. THE EFFECTS OF IMPROVING FERTILIZER MARKET .................... 14 3.1. Implications for Fertilizer Prices .................................. 14 3.2. The Impact on Fertilizer Profitability ............................... 21 4. THE IMPLICATIONS OF IMPROVING THE OUTPUT MARKET.............. 23 5. IMPROVING THE YIELD RESPONSE TO FERTILIZERS.................... 26 5.1. Constraints to Improved Yield Response ............................ 26 5.2. The Implications of Improving Output Response ...................... 31 5.3. -
Table: Belg 2015 Emergency Food Required Beneficiaries' T I G R
Table: Belg 2015 Emergency Food Required Beneficiaries' Beneficeries Duration Food Requirement Mt Name of Starting Region Zone Endorsed by of Woreda month Cereal Supp. Food Oil Pulses Total Region Assistance Tigray Atsebiwonberta 18,500 5 August 1,387.50 145.69 41.63 138.75 1,713.56 Gulomekeda 14,153 5 August 1,061.48 111.45 31.84 106.15 1,310.92 Hawzien 18,225 5 August 1,366.88 143.52 41.01 136.69 1,688.09 Eastern Sa/Tsa/Emba 26,070 5 August 1,955.25 205.30 58.66 195.53 2,414.73 Erop 8,290 5 August 621.75 65.28 18.65 62.18 767.86 K/Awlaello 15,014 5 August 1,126.05 118.24 33.78 112.61 1,390.67 G/Afeshum 17,623 5 August 1,321.73 138.78 39.65 132.17 1,632.33 Zone Total 117,875 - 8,840.63 928.27 265.22 884.06 10,918.17 Enderta 12,065 5 August 904.88 95.01 27.15 90.49 1,117.52 South Seharti-Samre 12,261 5 August 919.58 96.56 27.59 91.96 1,135.68 East D/Temben 17,800 5 August 1,335.00 140.18 40.05 133.50 1,648.73 Hintalo-Wajerat 27,574 5 August 2,068.05 217.15 62.04 206.81 2,554.04 Zone Total 69,700 - 5,227.50 548.89 156.83 522.75 6,455.96 R/Alamata 15,000 5 August 1,125.00 118.13 33.75 112.50 1,389.38 R/Azebo 36,681 5 August 2,751.08 288.86 82.53 275.11 3,397.58 T Southern Endamehoni 15,907 5 August 1,193.03 125.27 35.79 119.30 1,473.39 i Ofla 15,000 5 August 1,125.00 118.13 33.75 112.50 1,389.38 E/Alage 11,415 5 August 856.13 89.89 25.68 85.61 1,057.31 g Zone Total 94,003 - 7,050.23 740.27 211.51 705.02 8,707.03 r Adwa 2,000 5 August 150.00 15.75 4.50 15.00 185.25 Ahferom 20,215 5 August 1,516.13 159.19 45.48 151.61 1,872.41 a Kola Temben -
Study on Spatial Distribution of Tsetse Fly and Prevalence Of
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 Pharmacy and Alternative Medicine www.iiste.org ISSN 2222-4807 (online) ISSN 2222-5668 (Paper) An International Peer-reviewed Journal Vol.7, 2015 Study on Spatial Distribution of Tsetse Fly and Prevalence of Bovine Trypanosomosis and other Risk Factors: Case Study in Darimu District, Ilu Aba Bora Zone, Western Ethiopia Fedesa Habte Assefa Kebede Tekalegn Desta School of Veterinary Medicine, Jimma University College of Agriculture and Veterinary Medicine, P.O. Box: 307 Jimma, Ethiopia Abstract African Animal Trypanosomosis is one of the major impediments to livestock development and agricultural production in Ethiopia, which negatively affect the overall development in agriculture in general, and to food self- reliance efforts in particular. Currently, about 180,000 to 200,000km 2 of fertile arable land of west and southwest of the country is underutilized. Darimu district is one of the areas with such problems. Therefore, a cross-sectional study was conducted with the objectives of assessing the prevalence of Bovine Trypanosomosis and determines spatial distribution and apparent density of tsetse and other biting flies in the study area. In current study, a total of 650 blood samples were collected from randomly selected animals and subjected to Buffy coat parasitological laboratory technique and positive samples were subjected to thin blood smear followed by Giemsa staining. Out of the total blood sampled, 7.1% tested positive for trypanosomosis. Out of positive cases, Trypanosoma congolense (82.61%) was the dominant trypanosome species followed by mixed infection ( Trypanosoma congolense and Trypanosoma vivax ) (8.67%). -
Ecological Zones of Ethiopia: a Parametric Approach
Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.5, No.3, 2014 Smallholder Wheat Production Efficiency in Selected Agro- ecological Zones of Ethiopia: A Parametric Approach Tolesa Alemu 1* , Bezabih Emana 2, Jema Haji 1, and Belaineh Legesse 1 1. School of Agricultural Economics & Agribusiness, Haramaya University, Ethiopia 2. General Manager, HEDBED Business & Consultancy PLC, Addis Ababa, Ethiopia * E-mail of the corresponding author: [email protected] Abstract Wheat productivity is very low in Ethiopia. Improving production efficiency is one of the options for enhancing wheat productivity. To identify the level of production efficiency and sources of inefficiencies, this study was carried out in three major wheat producing agro-ecologies. It used cross-sectional data collected from randomly selected 381 farm households for 2012/13 cropping season. A Cobb-Douglas Production Function and Stochastic Frontier Analysis were employed to achieve the objectives. The study found considerable variation in production efficiency among agro-ecologies and within agro-ecology. The mean technical efficiency estimates for lowland, midland and highland agro-ecologies were 57 percent, 82 percent and 78 percent, respectively. The technical efficiency ranges from 24.4 to 88.6 percents in the lowland, 51.6 to 94.4 percents in the midland, and 34.5 to 94.3 percents in the highland agro-ecologies. There is more capacity to increase wheat yield given the current state of technology and input levels. Wheat output elasticities associated with land, labor, chemical fertilizers and other inputs (seed and pesticides) were positive and significant in the lowland whereas in mid and highland agro- ecologies, output elasticities of land and chemical fertilizers were significant. -
ETHIOPIA Selfhelpafrica.Org 2020-21 1 2020-21 Alemnesh Tereda, 28, and Marsenesh Lenina, 29, Injaffo Multi Barley Coop, Gumer
ETHIOPIA selfhelpafrica.org 2020-21 1 2020-21 Alemnesh Tereda, 28, and Marsenesh Lenina, 29, Injaffo Multi barley Coop, Gumer caling up agricultural production, improving nutrition Last year, the organisation was involved in implementing security, developing new enterprise and market close to a dozen development projects, all of which Sopportunities for farmers, strengthening community- are being undertaken in collaboration with local and/or based seed production and building climate resilience, are international partners. all key areas of Self Help Africa’s work in Ethiopia. ETHIOPIA PROJECT KEY Scaling up RuSACCOs Strengthening & Scaling up of rehabilitaion of degraded lands and enhancement of livelihoods in Lake Ziway catchment ERITREA Feed the Future Gondar Dairy for Development Stronger Together: Linking Primary Seed and Seep Cooperative Union Addis Ababa Climate-Smart Agriculture SOMALILAND Capacity Building of Farmer Butajira Training Centers Unleashing the productive ETHIOPIA capacity of poor people through Graduation Approach in Ethiopia Integrated Community Development SOMALIA Livelihood Enhancement: Working Inclusively for Transformation KENYA 2 Implementing Programme Programme Donor Total Budget Time Frame Partner Area Climate-Smart Irish Aid € 806,695 2015 SOS Sahel, SNNP region 01 Agriculture (CSA) Farm Africa, 2019 Vita MF: Scaling Up Irish League of € 420,000 2020 Zonal Departments of N/Shewa Zone of 02 Rural Savings and Credit international Finance & Economic Amhara, N/Shewa Credit Cooperatives Development 2022 Cooperation -
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 -
Early Warning and Response Analysis August 2014
Early Warning and Response Directorate DRMFSS, MoA Early Warning and Response Analysis August 2014 This bulletin is prepared by the Early Warning and Response Directorate to coordinate and disseminate early warning and food security information. For any comments, questions or suggestions and/or to receive the bulletin on your email please write to [email protected] If you are planning to contribute to the response effort, please inform DRMFSS by writing to [email protected] Released on August, 2014 2 Early Warning and Response Analysis August, 2014 Contents Acronyms .......................................................................................................................................................... 3 Early Warning and ResponseSummary………..………………………………………………………………4 Weather Conditions ........................................................................................................................................... 5 Agriculture……………………….…………………………………………………………………………….6 Nutrition ............................................................................................................................................................ 7 Appendix ......................................................................................................................................................... 10 Early Warning and Response Directorate, MoA 3 Early Warning and Response Analysis August, 2014 ACRONYMS: CPI: Consumer Price Index CSA: Central Statistical Agency DRMFSS: Disaster Risk Management and Food Security Sector: