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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 -- -
Original Research
DOI: http://dx.doi.org/10.4314/star.v3i4.1 ISSN: 2226-7522(Print) and 2305-3372 (Online) Science, Technology and Arts Research Journal Sci. Technol. Arts Res. J., Oct-Dec 2014, 3(4): 01-09 Journal Homepage: http://www.starjournal.org/ Original Research Correlation and Divergence Analysis for Phenotypic Traits in Sesame (Sesamum indicum L.) Genotypes Gadisa Hika1, Negash Geleta2* and Zerihun Jaleta2 1Arjo Preparatory school, P.O. Box: 10, Arjo, East Wollega, Ethiopia 2Department of Plant Sciences, College of Agriculture and Natural Resources, Wollega University, P.O. Box: 395, Nekemte, Ethiopia Abstract Article Information A study was conducted to determine the magnitude of associations of traits and genetic Article History: divergence among the 64 sesame genotypes. The genotypes were arranged in 8 x 8 simple Received : 19-10-2014 lattice design and grown in Arjo district, Western Ethiopia during 2013 cropping season. Data were recorded for 12 phenotypic traits and analyzed using SAS software version 9.20 (2002, Revised : 21-12-2014 USA). The results showed that seed yield had positive and significant genotypic and Accepted : 27-12-2014 phenotypic correlations with all traits, indicating they are important yield components and can be used for yield improvement in sesame breeding program except for PH and BY. Further Keywords: analysis by path coefficient method indicated that at genotypic level DM, CFP and HI exerted Correlation high positive direct effects on seed yield and strong and positive correlation with seed yield. Divergence analysis Similarly, at phenotypic level positive and high direct effects were exerted by CFP, NPB and HI on seed yield and these traits had also strong positive associations with SY. -
WCBS III Supply Side Report 1
Federal Democratic Republic of Ethiopia Ministry of Capacity Building in Collaboration with PSCAP Donors "Woreda and City Administrations Benchmarking Survey III” Supply Side Report Survey of Service Delivery Satisfaction Status Final Addis Ababa July, 2010 ACKNOWLEDGEMENT The survey work was lead and coordinated by Berhanu Legesse (AFTPR, World Bank) and Ato Tesfaye Atire from Ministry of Capacity Building. The Supply side has been designed and analysis was produced by Dr. Alexander Wagner while the data was collected by Selam Development Consultants firm with quality control from Mr. Sebastian Jilke. The survey was sponsored through PSCAP’s multi‐donor trust fund facility financed by DFID and CIDA and managed by the World Bank. All stages of the survey work was evaluated and guided by a steering committee comprises of representatives from Ministry of Capacity Building, Central Statistical Agency, the World Bank, DFID, and CIDA. Large thanks are due to the Regional Bureaus of Capacity Building and all PSCAP executing agencies as well as PSCAP Support Project team in the World Bank and in the participating donors for their inputs in the Production of this analysis. Without them, it would have been impossible to produce. Table of Content 1 Executive Summary ...................................................................................................... 1 1.1 Key results by thematic areas............................................................................................................ 1 1.1.1 Local government finance ................................................................................................... -
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 -
D.Table 9.5-1 Number of PCO Planned 1
D.Table 9.5-1 Number of PCO Planned 1. Tigrey No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Adwa 13 Per Filed Survey by ETC 2(*) Hawzen 12 3(*) Wukro 7 Per Feasibility Study 4(*) Samre 13 Per Filed Survey by ETC 5 Alamata 10 Total 55 1 Tahtay Adiyabo 8 2 Medebay Zana 10 3 Laelay Mayechew 10 4 Kola Temben 11 5 Abergele 7 Per Filed Survey by ETC 6 Ganta Afeshum 15 7 Atsbi Wenberta 9 8 Enderta 14 9(*) Hintalo Wajirat 16 10 Ofla 15 Total 115 1 Kafta Humer 5 2 Laelay Adiyabo 8 3 Tahtay Koraro 8 4 Asegede Tsimbela 10 5 Tselemti 7 6(**) Welkait 7 7(**) Tsegede 6 8 Mereb Lehe 10 9(*) Enticho 21 10(**) Werie Lehe 16 Per Filed Survey by ETC 11 Tahtay Maychew 8 12(*)(**) Naeder Adet 9 13 Degua temben 9 14 Gulomahda 11 15 Erob 10 16 Saesi Tsaedaemba 14 17 Alage 13 18 Endmehoni 9 19(**) Rayaazebo 12 20 Ahferom 15 Total 208 1/14 Tigrey D.Table 9.5-1 Number of PCO Planned 2. Affar No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Ayisaita 3 2 Dubti 5 Per Filed Survey by ETC 3 Chifra 2 Total 10 1(*) Mile 1 2(*) Elidar 1 3 Koneba 4 4 Berahle 4 Per Filed Survey by ETC 5 Amibara 5 6 Gewane 1 7 Ewa 1 8 Dewele 1 Total 18 1 Ere Bti 1 2 Abala 2 3 Megale 1 4 Dalul 4 5 Afdera 1 6 Awash Fentale 3 7 Dulecha 1 8 Bure Mudaytu 1 Per Filed Survey by ETC 9 Arboba Special Woreda 1 10 Aura 1 11 Teru 1 12 Yalo 1 13 Gulina 1 14 Telalak 1 15 Simurobi 1 Total 21 2/14 Affar D.Table 9.5-1 Number of PCO Planned 3. -
Report Template
Ethiopia-Sudan Power System Interconnection Environmental and Social Impact Assessment Final Report CONTENTS Table of Contents Abbreviations Acknowledgements Executive Summary 1 Introduction ............................................................................................... 1 1.1 Project Background ................................................................................................... 1 1.2 Previous Studies ........................................................................................................ 2 1.3 Present Study ............................................................................................................ 2 1.4 Scope and Objectives of ESIA................................................................................... 2 1.5 Methodology and ESIA Resourcing ........................................................................... 3 1.5.1 Overview ...................................................................................................... 3 1.5.2 Option C ...................................................................................................... 3 1.5.3 Option B (B1/B2) ......................................................................................... 4 1.5.4 Option A ....................................................................................................... 5 1.5.5 ESIA Resourcing ......................................................................................... 5 2 Policy, Legal and Administrative Framework........................................ -
Utilization of Indigenous Plant-Based Veterinary Medicines Among
Global Journal of HUMAN-SOCIAL SCIENCE: C Sociology & Culture Volume 17 Issue 4 Version 1.0 Year 2017 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-460x & Print ISSN: 0975-587X Utilization of Indigenous Plant-Based Veterinary Medicines among Saasiggaa Oromo of South West Ethiopia: A Case Study By Galane Biranu, Milkessa Edae & Tekele Gemechu Jimma University Abstract- This ethnographic research attempted to describe indigenous healing practices of veterinary medicinal plants with particular references to Saasiggaa Oromo of Eastern Wallaga Zone. Data were collected using key informant interviews, field observations and focus group discussions. Besides a whole of 23 informants (13 males and 10 females) between the ages of 23 and 76 were carefully chosen to gather data on indigenous veterinary medicine utilization. The key informants were purposively chosen according to reference from elders and culture and tourism officers. The rest participants were selected randomly. Data obtained from both key informants and FGDs discussants show that majority of local people in the study area favor the indigenous healing practices rather than the formal one. According to data generated from key informant's interview, the supreme commonly utilized indigenous veterinary medicines are prepared from medicinal plant species (25%). In addition, crushing, squeezing and burning are the largely utilized way of preparation in healing practices. Oral, dermal, nasal is the well-known and practice administration among the Saasigga Oromo. And they use obaasuu drinking, dibuu painting, it kudhaamuu tying on and dhiquu washing as an application of indigenous veterinary medicine. Keywords: Indigenous veterinary medicine-healing- Saasiggaa-biomedicine-livestock Challenges. -
Contraceptive Use and Family Size Preferences Among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia
Research Reviews: Journal of Nursing and Health Sciences www.rroij.com Contraceptive Use and Family Size Preferences among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia Tadele Amente1*, Tariku Tesfaye1 and Mesfin Addise2 1Department of Nursing and Midwifery, College of Medical and Health Sciences, Wollega University, Nekemte, Oromia, Ethiopia 2School of Public Health, College of Medical and Health Science, Addis Ababa University, Addis Ababa, Ethiopia *For Correspondence: Amente T, Wollega University, Nekemte Town, Western Ethiopia, Tel: +251910119548; E-mail: [email protected] Received date: 03/11/2016; Accepted date: 15/02/2017; Published date: 23/02/2017 Copyright: © 2017 Amente T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Research Article ABSTRACT Background: Ethiopia is one of Sub-Saharan Africa countries in which high fertility (5.4 births per woman) is observed. Family planning programs have always been considered as the interventions of choice for slowing population growth and family size preference is useful in suggesting its demand. Objective: The objective of this study was to assess contraceptive use and family size preferences among currently married women of reproductive age in Jimma Arjo district. Methods: Community based cross sectional study design was conducted from January to February 2011. A total of five kebeles were selected by lottery method from 22 kebeles in Jimma Arjo district, Oromia, Ethiopia and a total of 475 married women were interviewed using systematic random sampling technique. -
Original Research Original Research
ISSN: 2226-7522(Print) and 2305-3327 (Online) Science, Technology and Arts Research Journal Jan-Mar 2013, 2(1): 10-17 www.starjournal.org Copyright© 2013 STAR Journal. All Rights Reserved Original Research Evaluation of Soil Cations in Agricultural Soils of East Wollega Zone in South Western Ethiopia Abdenna Deressa 1*, Bikila Bote 2 and Hirpa Legesse 3 1Wollega University, College of Agriculture and NaturNaturalal Resource, Department of Soil Resource and Watershed Management, P.O. Box 395, Nekemte, Ethiopia 2Oromia Agricultural Research Institute, Nekemte SoiSoill Research Center, P.O. Box 587, Nekemte, Ethiopia 3Wollega University, College of Agriculture and Natural Resource, Department of Plant Science, P.O. Box 395, Nekemte, Ethiopia Abstract Article Information Article History: The purpose of the study was to investigate the status of soil exchangeable cations, Received : 14-02-2013 aluminum, hydrogen, calcium, magnesium, and potassium, in agricultural soils of East Wollega Zone of South Western Ethiopia. A total of 335353 soil samples were collected in Revised : 28-03-2013 2011and 2012 G.C from 0-20cm depth. Five representative districts of East WoWollegallega Accepted : 30-03-2013 zone were sel ected purposively. Samples were collected from farmfarmeers’rs’ crop fields. Samples were analyzed at Nekemte Soil Research CenteCenterr Laboratory. Soils were Keywords : analyzed for pH, exchangeable acidity and bases. EffEffectiveective cation exchange capacity Aluminum (ECEC) was determined by s ummation and cations saturations were calculated. Data Acidity were analyzed by SAS software. Mean soil pH ranged from 4.88-5.25. Mean Calcium exchangeable acidity ranged from 3.25-5.55 cmol(+)/kg. Mean exchangeable calcium also ranged from 3.25-4.55 cmol(+)/kg. -
Livelihood Zones Analysis Ethiopia
Improved livelihoods for smallholder farmers LIVELIHOOD ZONES ANALYSIS A tool for planning agricultural water management investments Ethiopia Prepared by Dr. Girma Medhin in consultation with FAO, 2011 About this report The AgWater Solutions Project aimed at designing agricultural water management (AWM) strategies for smallholder farmers in sub Saharan Africa and in India. The project was managed by the International Water Management Institute (IWMI) and operated jointly with the Food and Agriculture Organization of the United Nations (FAO), International Food Policy Research Institute (IFPRI), the Stockholm Environmental Institute (SEI) and International Development Enterprise (IDE). It was implemented in Burkina Faso, Ethiopia, Ghana, Tanzania, Zambia and in the States of Madhya Pradesh and West Bengal in India. Several studies have highlighted the potential of AWM for poverty alleviation. In practice, however, adoption rates of AWM solutions remain low, and where adoption has taken place locally, programmes aimed at disseminating these solutions often remain a challenge. The overall goal of the project was to stimulate and support successful pro-poor, gender-equitable AWM investments, policies and implementation strategies through concrete, evidence-based knowledge and decision-making tools. The project has examined AWM interventions at the farm, community, watershed, and national levels. It has analyzed opportunities and constraints of a number of small-scale AWM interventions in several pilot research sites across the different project countries, and assessed their potential in different agro-climatic, socio-economic and political contexts. This report was prepared as part of the efforts to assess the potential for AWM solutions at national level. The livelihood zones analysis divides the country in a series of areas where rural people share relatively homogeneous living conditions on the basis of a combination of biophysical and socio-economic determinants. -
Food Supply Prospect Based on Different Types of Scenarios in 2005
EWS Food Supply Prospect Based on Different Types of EARLY WARNING SYSTEM Scenarios in 2005 REPORT Disaster Prevention and Preparedness Commission September 2004 TABLE OF CONTENTS TABLE OF CONTENTS PAGE List of Glossary of Local Names and Acronyms 3 Executive Summary 4 Introduction 9 Part One: Food Security Prospects in Crop Dependent Areas 1.1 Tigray Region 10 1.2 Amhara Region 12 1.3 Oromiya Region 15 1.4 Southern Nations, Nationalities and Peoples Region (SNNPR) 17 1.5 Dire Dawa 20 1.6 Harar 22 Part Two: Food Security Prospects in Pastoral and Agro-pastoral Areas 2.1 Afar Region 24 2.2 Somali Region 28 2.3 Borena Zones (Oromiya Region) 32 2.4 Low lands of Bale Zone (Oromiya Region) 34 2.5 South Omo Zone, (SNNPR) 36 Tables: Table1: - Needy Population and Food Requirement under Different Scenarios by Regions 8 Table 2: - Needy and Food Requirement Under Different Scenarios for Tigray Region 11 Table 3: - Needy and Food Requirement Under Different Scenarios for Amahra Region 14 Table 4: - Needy and Food Requirment Under Different Scenarios for Oromiya Region 16 Table 5: - Needy and Food Requirement Under Different Scenarios for SNNPR Region 19 Table 6: - Needy and Food Requirement Under Different Scenarios for Dire Dewa 21 Table 7: - Needy and Food Requirement Under Different Scenarios for Harari Region 23 Table 8: - Needy and Food Requirement Under Different Scenarios for Afar Region 27 Table 9: - Needy and Food Requirement Under Different Scenarios for Somali Region 31 Table 10: - Needy and Food Requirement Under Different Scenarios -
Oromiya 4 Zone Code Wereda Code Town Code West
REGION - OROMIYA 4 ZONE CODE WEREDA CODE TOWN CODE WEST WELEGA 01 MENE SIBU 01 MENDI 1 NEJO 02 NEJO 1 WERE JIRU 2 GORI 3 GIMBI 03 HOMA 1 LALO ASABI 04 ENANGO 1 DENIGORO 2 KILTU KARA 05 KILTU KARA 1 BOJI DIRMEJ 06 BILA 2 AYIRA GULISO 07 GULISO 1 AYIRA 2 JARSO 08 GEBA DEFINO 1 KONDALA 09 GEBA DEFNO 1 BOJI CHEKORSA 10 CHEKORSA 1 BABO GAMBEL 11 DEBEKA 1 YUBDO 12 YUBDO 1 GENJI 13 GENJI 1 HARU 14 GUYU 1 NOLE KABA 15 BUBE 1 BEGI 16 BEGI 1 KOBER 2 GIMBI /TOWN/ 17 GIMBE 1 SEYO NOLE 18 DEBESO 1 EAST WELEGA 02 LIMU 01 GELILA 1 IBANTU 02 HINDE 1 GIDA KIREMU 03 GIDA AYANA 1 KIREMU 2 GUTEN 3 HORO LIMU 04 BONIYA BUSHE 05 BILO 1 WAYU TUKA 06 GEBA JIMATA 1 GUDEYA BILA 07 JERE 1 BILA 2 GOBU SEYO 08 ANO 1 OROMIYA (Cont'd) ZONE CODE WEREDA CODE TOWN CODE EAST WELEGA 02 SIBU SIRE 09 SIRE 1 DIGA 10 ARJO GUDETU 1 IFA 2 SASIGA 11 GALO 1 LEKA DULECHA 12 GETEMA 1 GUTO GIDA 13 DIGA 1 JIMA ARJO 14 ARJO 1 NUNU KUMBA 15 NUNU 1 WAMA HAGELO 16 NEKEMTE /TOWN/ 17 NEKEMTE 1 ILU ABA BORA 03 DARIMU 01 DUPA 1 ALGE SACHI 02 ALGE 1 SUPE 2 CHORA 03 KUMBABE 1 DEGA 04 DEGA 1 DABO HANA 05 KONE 1 GECHI 06 GECHI 1 BORECHA 07 YANFU 1 DEDESA 08 DENBI 1 YAYU 09 YAYU 1 METU ZURIYA 10 ALE 11 GORE 1 BURE 12 BURE 01 1 SIBU 2 NONO SELE 13 BIRBIRSA 1 OROMIYA (Cont'd) ZONE CODE WEREDA CODE TOWN CODE ILU ABA BORA 03 BICHO 14 BICHO 1 BILO NOPHA 15 NOPA 1 HURUMU 16 HURUMU 1 DIDU 17 LALO 1 MAKO 18 MAKO 1 HUKA /HALU/ 19 HUKA 01 1 METU TOWN 20 METU 1 BEDELE TOWN 21 BEDELE 1 BEDELE ZURIYA 22 - 1 CHEWAKA 23 ILU HARERE 1 DORENI 24 JIMA 04 LIMU SEKA 01 ANTAGO 1 LIMU KOSA 02 LIMU GENET 1 AMBUYE 2 BABU