Participatory Demonstration and Evaluation of Drought Tolerant Maize
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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 -- -
Ethiopia: 2015 HRF Projects Map (As of 31 December 2015)
Ethiopia: 2015 HRF projects map (as of 31 December 2015) Countrywide intervention ERITREA Legend UNICEF - Nutrition - $999,753 Concern☃ - VSF-G ☈ ! Refugee camp WFP - Nutrition (CSB) - $1.5m National capital Shimelba Red Sea SUDAN Regional intervention International boundary Hitsa!ts Dalul UNICEF - Health - $1.0m ! !Hitsats ! ! Undetermined boundary ! ! SCI Tigray, Afar, Amhara, Oromia, Kelete Berahile ☃☉ May-Ayni Kola ! Somali, Gambella, SNPR & NRC - ☉ Ts!elemti Temben Awelallo Lake IRC - ★ ! ☄ ! ♫ Tanqua ! SUDAN ! ! ! Dire Dawa Adi Harush ! Enderta Abergele ! Ab Ala Afdera Project woredas Tselemt ! NRC - Debark GAA - ☇ ! WFP (UNHAS) - Coordination ☈ Abergele! Erebti ☋☉ Plan Int. - ACF - ☃ Dabat Sahla ☃Megale Bidu and Support Service - $740,703 Janamora Wegera! Clusters/Activities ! Ziquala Somali region Sekota ! ! Concern - SCI Teru ! Agriculture CRS - Agriculture/Seed - $2,5m ☃ ☃ Kurri ! Dehana ! ☋ ! Gaz Alamata ! Elidar GAA - ☋ Amhara,Ormia and SNNP regions ! ☃☉ Gonder Zuria Gibla ! Gulf of ! Education Plan Int. - Ebenat Kobo SCI☃☉ ☃ ! Gidan ☄ Lasta ! Aden CARE - Lay Guba ! Ewa ! ☃ ! Meket Lafto Gayint ! Food security & livelihood WV - ☃ Dubti ☈ ☉ ! Tach Habru Chifra SCI - ☃ Delanta ! ! - Tigray Region, Eastern Zone, Kelete Awelall, ! Gayint IMC - ☃ Health ☉ Simada Southern Zone, Alamata and Enderta woredas ! ! Mile DJIBOUTI ☊ Mekdela ! Bati Enbise SCI- Nutrition ! Argoba ☃☉ WV - ☃ Sar Midir Legambo ☃ ! Oxfam GB - Enarj ! ☉ ! ! Ayisha Non Food Items - Amhara region, North Gonder (Gonder Zuria), Enawga ! Antsokiya Dalfagi ! ! ! Concern -
73-84 Association of Arabica Coffee Quality Attributes with Selected So
East African Journal of Sciences (2015) Volume 9 (2) 73-84 Association of Arabica Coffee Quality Attributes with Selected Soil Chemical Properties Adugnaw Mintesnot1*, Nigussie Dechassa2,and Ali Mohammed1 1Jimma University, Department of Horticulture, P. O. Box 307, Jimma, Ethiopia 2Haramaya University, Department of Plant Sciences, P. O. Box 138, Dire Dawa, Ethiopia Abstract: Coffee (Coffea arabica L.) bean quality attributes differ based on the origin of the produce. Several agro-ecological conditions influence coffee bean quality attributes. Soil chemical properties may be some of the factors affecting the quality attributes. However, no study has so far been conducted to elucidate the association of coffee bean qualities with soil chemical properties in both major and minor coffee growing regions of Ethiopia. Thus, this research was conducted with the objective of establishing association of chemical soil properties with coffee cup quality attributes. Coffee beans as well as soil samples from which the beans originated were subjected to chemical analysis. The coffee beans and the corresponding soil samples originated from large scale coffee plantations (Bebeka, Gemadro and Goma), districts from southwestern major coffee growing region (Gore, Jimma, Lemkefa), West (Gimbi), East (Badano, Chiro, Darolebu, Habro and Melkabelo), South (Yirgacheffe) and northwestern minor coffee growing districts (Ankasha, Bure, Mecha and Jabi). The soil samples were collected from the depth of 0 - 50 cm near the coffee trunks and samples of ripe coffee cherries were picked up from the trees during the 2010/11 harvest season. Selected chemical properties of the soil, namely, available potassium, cation exchange capacity, exchangeable acidity, exchangeable bases, available micronutrients, available phosphorus, total nitrogen, soil pH, electrical conductivity, and percent organic carbon were determined from 53 soil samples in Jimma University soil laboratory and Wolkitie Soil Testing and Soil Fertility Improvement Centre using the established procedures. -
Floristic Composition and Carbon Pools Along Altitudinal Gradient: the Case of Gara–Muktar Forest, West Hararghe Zone, Eastern Ethiopia
Forestry Research and Engineering: International Journal Research Article Open Access Floristic composition and carbon pools along altitudinal gradient: the case of gara–muktar forest, west hararghe zone, eastern Ethiopia Abstract Volume 4 Issue 1 - 2020 Forests play vital role in combating climate change through carbon sequestration in the Asaminew Wodajo,1 Mehari A Tesfaye,2 atmosphere and serving as a carbon sink in the form of carbon pool systems of forest 3 ecosystems. The species composition and carbon stock in the different carbon pools Muktar Mohammed 1Bonga Agricultural Research Centre, Ethiopia, and analysis of the influence of the environmental gradients were studied by systematic 2Central Ethiopia Environment and Forest Research, Ethiopia sampling method collecting data in thirty-six quadrant plots of 20x20m each distributed 3Oda Bultum Universities, Ethiopia along transect lines. Diameter at breast ≥5cm and total height measured for each tree in the main plot. Above and below ground biomass was estimated using allometric equation, Correspondence: Mehari Alebachew Tesfaye, Central Ethiopia while the litter carbon was estimated by taking 50% of dry biomass as carbon. Soil sample Environment and Forest Research Centre box 30708, Addis was collected using auguring method and analyzed following Walkley-Black method, Ababa, Ethiopia, Tele +251911356756, while bulk density was performed using core sampling method. The data was analyzed Email was performed using one way ANOVA of R software. The carbon stocks in aboveground, belowground, litter biomass and soil organic carbon showed distinct variation along Received: November 27, 2020 | Published: February 28, 2020 environmental gradients. The aboveground and below ground carbon stock was showed a decreasing trend along with increasing altitude, while soil organic carbon and liter carbon showed increasing trend along with increasing in altitude. -
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 ............................................................................................................................ -
14 3W Edu 080217 A4.Pdf (English)
Ethiopia: 3W - Education Cluster Ongoing Activities map (August 2017) ERITREA 5 Total Number of Partners MoE ☄ UNICEF WFP Saesie Tsaedaemba MoE MoE Dalul Red Sea WFP Kelete WFP Awelallo MoE MoE UNICEF Tselemti TIGRAY Berahile MoE UNICEF Afdera Tanqua MoE UNICEF Abergele WFP MoE UNICEF Erebti MoE WFP MoE UNICEF WFP MoE Janamora UNICEF Gulf of UNICEF WFP MoE MoE MoE Bidu Aden Sahla Teru MoE UNICEF WFP UNICEF Kurri UNICEF East MoE WFP SUDAN Sekota UNICEF Belesa UNICEF MoE West UNICEF Raya Yalo WFP Belesa MoE Dehana MoE Azebo MoE WFP UNICEF WFP Awra MoE UNICEF Gaz UNICEF MoE MoE MoE Gibla WFP Elidar Ebenat Kobo MoE AFAR MoE AMHARA MoE Meket Ewa Chifra WFP UNICEF Aysaita Simada UNICEF Dawunt WFP UNICEF UNICEF UNICEF MoE WFP UNICEF MoE DJIBOUTI UNICEF Bati WFP WFP Sayint MoE Telalak MoE MoE Argoba MoE UNICEF WFP Enbise UNICEF Ayisha Shinile BoE Sar Midir WFP UNICEF BENISHANGUL MoE WFP Gewane BoE Erer GUMU WFP Bure MoE Mudaytu UNICEF Afdem WFP UNICEF WFP BoE WFP WFP Simurobi BoE BoE Gele'alo UNICEF WFP Dembel Aw-bare UNICEF BoE Dulecha WFP DIRE Chinaksen Argoba Amibara BoE MoE Special Miesso DAWA UNICEF WFP UNICEF WFP WFP WFP MoE WFP Hareshen MoE HARERI BoE BoE MoE WFP WFP WFP Babile BoE MoE MoE MoE BoE Kebribeyah BoE SOMALIA SOUTH SUDAN Malka UNICEF WFP Anchar Balo MoE MoE BoE Aware UNICEF Midega Boke Golo Oda Oxfam Tola WFP Oxfam UNICEF WFP UNICEF WFP MoE MoE Meyumuluka MoE WFP Fik MoE UNICEF WFP BoE Hawi Degehamedo BoE WFP WFP WFP Gudina Lege WFP SOMALI Lagahida BoE Gashamo WFP WFP Hida BoE Degehabur MoE MoE MoE BoE Danot MoE Meyu Hamero -
Confict Resolution
AFRICAN JOURNAL ON CONFLICT RESOLUTION Volume 16, Number 2, 2016 Efficacy of top-down approaches to post-conflict social coexistence and community building: Experiences from Zimbabwe ‘There’s no thing as a whole story’: Storytelling and the healing of sexual violence survivors among women and girls in Acholiland, northern Uganda Volume 16, Number 2, 2016 Number 2, 2016 16, Volume Competing orders and conflicts at the margins of the State: Inter-group conflicts along the Ethiopia-Kenya border Indigenous institutions as an alternative conflict resolution mechanism in eastern Ethiopia: The case of the Ittu Oromo and Issa Somali clans African Journal on Conflict Resolution Volume 16, Number 2, 2016 The African Journal on Conflict Resolution is a peer-reviewed journal published by the African Centre for the Constructive Resolution of Disputes (ACCORD) for the multidisciplinary subject field of conflict resolution. There are two regular issues per year, and occasionally also a special issue on a particular theme. It appears on the list of journals accredited by the South African Department of Higher Education and Training. ACCORD is a non-governmental, non-aligned conflict resolution organisation based in Durban, South Africa. ACCORD is constituted as an education trust. The journal seeks to publish articles and book reviews on subjects relating to conflict, its management and resolution, as well as peacemaking, peacekeeping and peacebuilding in Africa. It aims to be a conduit between theory and practice. Views expressed in this journal are not necessarily those of ACCORD. While every attempt is made to ensure that the information published here is accurate, no responsibility is accepted for any loss or damage that may arise out of the reliance of any person upon any of the information this journal contains. -
11 HS 000 ETH 013013 A4.Pdf (English)
ETHIOPIA:Humanitarian Concern Areas Map (as of 04 February 2013) Eritrea > !ª !ª> Note: The following newly created woreda boundaries are not Tahtay !ª E available in the geo-database; hence not represented in this Nutrition Hotspot Priority Laelay Erob R R !ª Adiyabo Mereb Ahferom !ª Tahtay Gulomekeda !ª I E map regardless of their nutrition hot spot priority 1 & 2: Adiyabo Leke T D Adiyabo Adwa Saesie Dalul Priority one Asgede Tahtay R S Kafta Werei Tsaedaemba E E Priority 1: Dawa Sarar (Bale zone), Goro Dola (Guji zone), Abichu Tsimbila Maychew !ª A Humera Leke Hawzen Berahle A Niya( North Showa zone) and Burka Dintu (West Hararge Priority two > T I GR AY > Koneba Central Berahle zone) of Oromia region, Mekoy (Nuer zone) of Gambella Western Naeder Kola Ke>lete Awelallo Priority three Tselemti Adet Temben region, Kersadula and Raso (Afder zone), Ararso, Birkod, Tanqua > Enderta !ª Daror and Yo'ale (Degahabour zone), Kubi (Fik zone), Addi Tselemt Zone 2 No Priority given Arekay Abergele Southern Ab Ala Afdera Mersin (Korahe zone), Dhekasuftu and Mubarek (Liben Beyeda Saharti Erebti Debark Hintalo !ª zone), Hadigala (Shinille zone) and Daratole (Warder Abergele Samre > Megale Erebti Bidu Wejirat zone) of Somali region. Dabat Janamora > Bidu International Boundary Alaje Raya North Lay Sahla Azebo > Wegera Endamehoni > > Priority 2: Saba Boru (Guji zone) of Oromia region and Ber'ano Regional Boundary Gonder Armacho Ziquala > A FA R !ª East Sekota Raya Yalo Teru (Gode zone) and Tulu Guled (Jijiga zone) of Somali region. Ofla Kurri Belesa -
Prioritization of Shelter/NFI Needs
Prioritization of Shelter/NFI needs Date: 31st May 2018 Shelter and NFI Needs As of 18 May 2018, the overall number of displaced people is 345,000 households. This figure is based on DTM round 10, partner’s assessments, government requests, as well as the total of HH supported since July 2017. The S/NFI updated its prioritisation in early May and SNFI Cluster partners agreed on several criteria to guide prioritisation which include: - 1) type of emergency, 2) duration of displacement, and 3) sub-standard shelter conditions including IDPS hosted in collective centres and open-air sites and 4) % of vulnerable HH at IDP sites. Thresholds for the criteria were also agreed and in the subsequent analysis the cluster identified 193 IDP hosting woredas mostly in Oromia and Somali regions, as well as Tigray, Gambella and Addis Ababa municipality. A total of 261,830 HH are in need of urgent shelter and NFI assistance. At present the Cluster has a total of 57,000 kits in stocks and pipeline. The Cluster requires urgent funding to address the needs of 204,830 HHs that are living in desperate displacement conditions across the country. This caseload is predicted to increase as the flooding continues in the coming months. Shelter and NFI Priority Activities In terms of priority activities, the SNFI Cluster is in need of ES/NFI support for 140,259 HH displaced mainly due to flood and conflict under Pillar 2, primarily in Oromia and Somali Regions. In addition, the Shelter and NFI Cluster requires immediate funding for recovery activities to support 14,000 HH (8,000 rebuild and 6,000 repair) with transitional shelter support and shelter repair activities under Pillar 3. -
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. -
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 -
Risk Map Assessment
Risk Map Assessment A Socio-Economic Study on Vulnerable Children and Adolescents In West Hararge Zone Chiro and Gemechis Woredas Comitato Internazionale per lo Sviluppo dei Popoli (CISP) (International Committee for the Development of Peoples) In the framework of the Italian Cooperation Programme in support of vulnerable children and adolescents in Ethiopia Research Team Desta Ayode Azmeraw Belay Mekdes G/Tinsaye Addis Ababa, June 2006 Risk Map Assessment Table of content Page Acknowledgement ----------------------------------------------------------- i List of Acronyms ------------------------------------------------------------ ii List of Tables and Charts --------------------------------------------------- iii Executive Summary --------------------------------------------------------- 1 Part One; Background ---------------------------------------------- 4 1.1 Introduction------------------------------------------------------------------ 4 1.2 Policy and Legal Framework----------------------------------------------- 5 1.3 Background of the Study--------------------------------------------------- 6 1.4 Objectives of the Study---------------------------------------------- ------ 6 1.5 Overview of the Study Area----------------------------------------- ------ 7 1.6 Structure of the Report----------------------------------------------------- 8 Part Two: Methodology------------------------------------------- 9 2.1 Instruments-------------------------------------------------------------------- 9 2.2 Selection of the Study Sites-------------------------------------------------