XII. Appendices

Total Page：16

File Type：pdf, Size：1020Kb

XII. Appendices Appendix 1. Location map of the study area. Ginde Beret Meta Robi Adaa Berga Study Area Ejere Bako Tibe Welmera Chelia Ambo Tikur Dawo Illu Alem Gana Da no Wenchi Becho Nonno Tolle Ameya Welisona Gorro Kokir Kersana Kondelt Gin de B e re t Met a Ro bi Ad aa Be rga Study Ar ea Ejere We lme ra Ba ko T ibe Ch el i a Amb o YA#ddis A baba Ti ku r Da wo Il lu Al em Ga na Da no We nch i No nn o Ame ya Be ch o To le We li so na Ke rsan a Gorro Ko nd elt LEGEND Study Area West Shewa Zone Oromya Region Ethiopia 400 0 400 800 Kilometers Appendix 2. Some physical and chemical properties of the soil in the study area. Depth pH OC Tot. N Av. P Sand Silt Clay -1 -1 -1 (cm) (H2O) (mg g ) (mg g ) (mg g ) (%) (%) (%) 0-18 6.28 48.280 4.796 0.083 12 47 41 18-60 6.19 15.290 1.316 0.018 11 37 52 60-125 5.66 4.356 0.459 0.021 4 34 62 125-160 5.97 2.027 0.198 0.022 28 33 39 Tot. N - total N, OC - organic C, Av. P - available P Appendix 3. Description of tree and shrub species included in foliage, flower bud and stem sampling. Altitude of Estimated Species Familly name sampling site age Height (masl) (year) Propagation (m) Hagenia abyssinica Rosaceae 2960-3015 5-8 Seed 4.0-4.6 Dombeya torrida Sterculiaceae 2895-3010 6-8 Seed 4.3-5.0 Buddleja polystachya Loganiaceae 2895-3020 5-9 Seed, cutting 3.1-4.6 Chamaecytisus palmensis Fabaceae 2900-3000 4-5 Seed 4.5-4.9 Senecio gigas Asteraceae 2970-3020 5-8 cutting 2.7-3.5 77 Appendix 4. Chemical and physical properties of the top soil layers at Ginchi research sub-center, central highlands of Ethiopia. Soil properties Soil depth pH OC TN P Ca Mg K Clay -1 -1 -1 -1 (cm) (H20) (%) (%) (mg kg ) (cmol kg ) (cmol kg ) (cmol kg ) (%) 0-15 5.99 22.6 1.1 6.2 37.5 10.5 1.54 76 15-30 6.20 20.1 1.0 6.5 39.69 13.08 1.62 75 Appendix 5. Sketch of a plot with five broad bed and furrow (BBF). 0.8 m 0.2 m 6.5 m 1.2 m 1.2 m 0.2 m 0.2 m 0.4 m 6 m 78 Appendix 6. Chemical and physical properties of the top soil layers at Holetta. Soil properties Soil P Ca Mg K depth pH OC TN (mg (cmol (cmol (cmol Clay -1 -1 (cm) (H20) (%) (%) kg ) kg ) kg-1) kg-1) (%) 0-15 5.20 2.18 0.17 4.51 7.30 2.65 1.40 80 15-30 5.36 1.87 0.17 3.49 4.50 2.61 1.30 78 Appendix 7. Scientific and family names, and seed sources of seven tree species. Scientfic name Family Common name Seed sources Acacia decurrens Willd Fabaceae Green wattle FRC Chamaecytisus palmensis (Christ) Bisby & K. Nicholls - accession 15076 Fabaceae Tagasaste ILRI Chamaecytisus proliferus (L.f.) Link Fabaceae Escabon FRC Eucalyptus globulus Labill Myrtaceae Tasmanian FRC Eucalyptus camaldulensis Dehnhardt Myrtaceae River Redgum FRC Grevillea robusta A. Cunningham ex R. Br. Proteaceae Silkoak FRC Hagenia abyssinica (Bruce) J.F. Gmel. Rocaceae African Redwood FRC 79 .

Copy Link

Recommended publications

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 --
[Show full text]
Determinants of Dairy Product Market Participation of the Rural Households
ness & Fi si na u n c B Gemeda et al, J Bus Fin Aff 2018, 7:4 i f a o l l A a Journal of f DOI: 10.4172/2167-0234.1000362 f n a r i r u s o J ISSN: 2167-0234 Business & Financial Affairs Research Article Open Access Determinants of Dairy Product Market Participation of the Rural Households’ The Case of Adaberga District in West Shewa Zone of Oromia National Regional State, Ethiopia Dirriba Idahe Gemeda1, Fikiru Temesgen Geleta2 and Solomon Amsalu Gesese3 1Department of Agricultural Economics, College of Agriculture and Veterinary Sciences, Ambo University, Ethiopia 2Department of Agribusiness and Value Chain Management, College of Agriculture and Veterinary Sciences, Ambo University, Ethiopia Abstract Ethiopia is believed to have the largest Livestock population in Africa. Dairy has been identified as a priority area for the Ethiopian government, which aims to increase Ethiopian milk production at an average annual growth rate of 15.5% during the GTP II period (2015-2020), from 5,304 million litters to 9,418 million litters. This study was carried out to assess determinants of dairy product market participation of the rural households in the case of Adaberga district in West Shewa zone of Oromia national regional state, Ethiopia. The study took a random sample of 120 dairy producer households by using multi-stage sampling procedure and employing a probability proportional to sample size sampling technique. For the individual producer, the decision to participate or not to participate in dairy production was formulated as binary choice probit model to identify factors that determine dairy product market participation.
[Show full text]
Ethiopia: Administrative Map (August 2017)
Ethiopia: Administrative map (August 2017) ERITREA National capital P Erob Tahtay Adiyabo Regional capital Gulomekeda Laelay Adiyabo Mereb Leke Ahferom Red Sea Humera Adigrat ! ! Dalul ! Adwa Ganta Afeshum Aksum Saesie Tsaedaemba Shire Indasilase ! Zonal Capital ! North West TigrayTahtay KoraroTahtay Maychew Eastern Tigray Kafta Humera Laelay Maychew Werei Leke TIGRAY Asgede Tsimbila Central Tigray Hawzen Medebay Zana Koneba Naeder Adet Berahile Region boundary Atsbi Wenberta Western Tigray Kelete Awelallo Welkait Kola Temben Tselemti Degua Temben Mekele Zone boundary Tanqua Abergele P Zone 2 (Kilbet Rasu) Tsegede Tselemt Mekele Town Special Enderta Afdera Addi Arekay South East Ab Ala Tsegede Mirab Armacho Beyeda Woreda boundary Debark Erebti SUDAN Hintalo Wejirat Saharti Samre Tach Armacho Abergele Sanja ! Dabat Janamora Megale Bidu Alaje Sahla Addis Ababa Ziquala Maychew ! Wegera Metema Lay Armacho Wag Himra Endamehoni Raya Azebo North Gondar Gonder ! Sekota Teru Afar Chilga Southern Tigray Gonder City Adm. Yalo East Belesa Ofla West Belesa Kurri Dehana Dembia Gonder Zuria Alamata Gaz Gibla Zone 4 (Fantana Rasu ) Elidar Amhara Gelegu Quara ! Takusa Ebenat Gulina Bugna Awra Libo Kemkem Kobo Gidan Lasta Benishangul Gumuz North Wello AFAR Alfa Zone 1(Awsi Rasu) Debre Tabor Ewa ! Fogera Farta Lay Gayint Semera Meket Guba Lafto DPubti DJIBOUTI Jawi South Gondar Dire Dawa Semen Achefer East Esite Chifra Bahir Dar Wadla Delanta Habru Asayita P Tach Gayint ! Bahir Dar City Adm. Aysaita Guba AMHARA Dera Ambasel Debub Achefer Bahirdar Zuria Dawunt Worebabu Gambela Dangura West Esite Gulf of Aden Mecha Adaa'r Mile Pawe Special Simada Thehulederie Kutaber Dangila Yilmana Densa Afambo Mekdela Tenta Awi Dessie Bati Hulet Ej Enese ! Hareri Sayint Dessie City Adm.
[Show full text]
Seroprevalence and Associated Risk Factors of Foot and Mouth Disease in Cattle in West Shewa Zone, Ethiopia
Hindawi Veterinary Medicine International Volume 2020, Article ID 6821809, 6 pages https://doi.org/10.1155/2020/6821809 Research Article Seroprevalence and Associated Risk Factors of Foot and Mouth Disease in Cattle in West Shewa Zone, Ethiopia Beyan Ahmed,1 Lencho Megersa ,2 Getachew Mulatu ,2 Mohammed Siraj,2 and Gelma Boneya2 1Department of Veterinary Science, College of Agriculture and Veterinary Science, Ambo University, P.O. Box 19, Ambo, Ethiopia 2Department of Veterinary Laboratory Technology, College of Agriculture and Veterinary Sciences, Ambo University, P.O. Box 19, Ambo, Ethiopia Correspondence should be addressed to Lencho Megersa; [email protected] Received 7 November 2019; Revised 19 February 2020; Accepted 7 March 2020; Published 31 March 2020 Academic Editor: Annamaria Pratelli Copyright © 2020 Beyan Ahmed et al. (is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Foot and mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals and one of the endemic diseases in Ethiopia. (e study was aimed to estimate the seroprevalence and to assess associated risk factors of foot and mouth disease seroprevalence in West Shewa Zone. A total of 384 sera samples were collected from randomly selected cattle and tested using ELISA for antibodies against nonstructural proteins of foot and mouth disease viruses based on IDEXX FMD Multispecies Ab Test (IDEXX Laboratories Inc, USA). (e seroprevalence of foot and mouth disease in West Shewa Zone was found to be 40.4% (95% CI: 35.46–45.27) at an animal and 74.7% (95% CI: 65.58–83.85) at the herd level.
[Show full text]
Addis Ababa University School of Graduate Studies Environmental Science Program
ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES ENVIRONMENTAL SCIENCE PROGRAM Assessment of climate change effects on rain fed crop production and coping mechanisms: the case of smallholder farmers of west Shoa zone, Oromia, Ethiopia A Master’s Thesis Submitted to the graduate program of Addis Ababa University environmental science program in partial fulfillment of the requirements For the Degree MASTER OF SCIENCE IN ENVIRONMENTAL SCIENCE By- Leta Abate Acknowledgements First of all, I would like to thank my God for his untold and all time grace that gave me courage to start and finish this thesis work. I would also like to express my deepest gratitude to my advisor Dr. Seyoum Leta for his supervision and constructive comments throughout my research work. I would like to thank West Shoa Zone Irrigation development office for giving me a chance to study at Addis Ababa University. I would also extend my inner thanks to, NMSA, CSA, West-Shoa Zone and Woreda ARDO and DPPO officials for their continuous support in providing me the necessary data and assistance during my field work. My thanks also extend to Holeta, Ambo and Bako Agricultural research centers officials and researchers. I would also like to thank my friends, Sofia Abebe, Gelana Dufera, India Abebe for their moral support and making my overall stay in Addis memorable, may God bless you all. I am also indebted to my colleagues Dagnachew Delessa, Solomon Mengistu, Chaluma Regassa, and Itaferahu G/Yes and the rest of stuffs working at West Shoa irrigation Development Office. Finally, my deepest gratitude also goes to HoA-REC/N for providing me research Fund without which my research work would have been impossible.
[Show full text]
Feed Resources and Its Utilization Practices by Smallholder Farmers in Meta-Robi District, West Shewa Zone, Oromiya Regional State, Ethiopia
Vol. 4(4), pp. 124-133, July 2016 DOI: 10.14662/ARJASR2016.012 Academic Research Journal of Copy©right 2016 Agricultural Science and Author(s) retain the copyright of this article ISSN: 2360-7874 Research http://www.academicresearchjournals.org/ARJASR/Index.htm Full Length Research Feed resources and its utilization practices by smallholder farmers in Meta-Robi District, West Shewa Zone, Oromiya Regional State, Ethiopia Endale Yadessa1, Abule Ebro2, Lemma Fita3 and Getnet Asefa1 1Ethiopian Institute of Agricultural Research 2International Livestock Research Institute, Addis Ababa, Ethiopia 3Ambo University, Department of Animal Science, Ambo, Ethiopia Accepted 25 April 2016 The study was carried out in Meta Robi district, West Shewa Zone, Oromia Regional State, Ethiopia. Secondary data collection, field observation, key informants discussion and respondents interview were carried out. The district was stratified into upper, mid and lower altitudes and a total of 90 respondents (upper=30, mid=30 and lower=30) were randomly selected and individually interviewed. The result of the study revealed that, the major feed resources were natural pasture (58.9%), wheat straw (42.4%), barley straw (30%) and hay (21.1%). During the dry season, 90% of the respondents fed their animal crop residues followed by hay (55.6%) and stubble grazing (35.6%). Natural pasture was the dominant feed source during the wet season. September, October and November were classified as months when feed available relatively in excess. Feed was adequately available in the months of December, January, June, July and August whereas February, March, April and May were classified as feed shortage months. In the study district, 22.2, 37.8, 36.7, and 3.3% of the respondents fed their animals in indoor, group feeding, let to graze and tethering, respectively.
[Show full text]
Downloads (Not All App Sharing and Downloads Could Be Tracked)
m.<i Oll'lf'ltC- 1\.-\-V-A-i MINISTRY OF HEALTH·ETHIOPIA r11,•H·· rn.'i h'/1c. •OM)·l•i! USAID @ §.filQ Gt HEALTHIER CrrtZENS FOR PROSPEROUS NATION! FROM THE AMERICAN PEOPLE ACTIVITY INFORMATION Activity Title Communication for Health [Contract/Agreement] Number AID-663-A-15-000011 Name of Prime Implementing Partner Johns Hopkins Center for Communication Programs Name(s) of Subcontractor(s)/Sub awardee(s) John Snow, Inc. Activity Start Date July 20, 2015 Activity End Date December 31, 2020 Reporting Period July 20, 2015– December 31, 2020 Budget $22,193,954.00 Communication for Health 2 CONTENTS ACTIVITY INFORMATION . 2 Contents . 3 Acronyms and Abbreviations . 4 EXECUTIVE SUMMARY . 5 PROJECT OVERVIEW . 6 Theoretical Approach . 6 Project Goal, Objectives and Strategies . 7 Project Timeline and Focus Areas . 9 Partners . 10 IR1: STRENGTHENED PUBLIC HEALTH SYSTEMS AND COORDINATION FOR SBC . .. .11 IR2: SBCC DESIGN AND IMPLEMENTATION STRENGTHENED . ..17 IR 3: IMPROVED DATA USE FOR DECISION-MAKING . .. .. .. 28 CROSS-CUTTING ISSUES . 31 Gender Equality and Women Empowerment . ..31 Stakeholder Collaboration . .33 Collaboration and Knowledge Sharing with Other USAID Activities . 33 Collaboration and Coordination with Other Key Stakeholders . 33 Project Monitoring and Evaluation . 36 SUMMARY OF RESULTS . 36 CHALLENGES AND LESSONS LEARNED . 37 Appendixes . 38 End of Project Report (2015-2020) 3 Acronyms and Abbreviations AWD Acute Watery Diarrhea CCP Johns Hopkins Center for Communication Programs COP Community of Practice COR/AOR Country Officer’s
[Show full text]
Quality Assessment of Cattle Milk in Adea Berga and Ejerie Districts of West Shoa Zone, 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 Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.52, 2016 Quality Assessment of Cattle Milk in Adea Berga and Ejerie Districts of West Shoa Zone, Ethiopia Saba Haile 1 Mitiku Eshetu 2 1.Jimma Agricultural Research Center, P.O.Box 192 Jimma, Ethiopia 2.Haramaya University, College of Agriculture and Environmental Sciences, School of Animal and Range Science, P.O.Box 138, Dire Dawa, Ethiopia Abstract This study was conducted in Adea Berga and Ejerie districts. The objectives of the study were to assess raw milk hygienic handling practices and constraints associated with milk quality. A total of 180 smallholder milk producers farmers, two dairy cooperatives, one dairy cooperative union, two milk processors and ten consumers were interviewed to collect the required information using semi-structured questionnaires and focused group discussions. About 65% the respondents were removed manure daily While 35% were removed three times a week. Most of the interviewed dairy producers 69.4% washed their hands before milking while the rest 30.6% did not wash their hands. About 62.2% of the dairy producers washed their cow’s udder before milking and 37.8% were not washing. Nearly half of the respondents 46.7% were did not use towels for udder drying, 15.6% used common towel and 37.7 % reported they did not practice udder washing and drying. All of the interviewed milk producer farmers were used plastic made milk containers during milking and transported the milk to collection centers.
[Show full text]
Open Access Journal of Agriculture Research Research Article Asfaw M, Et Al
1 VolumeVolume 2019; 2018; Issue Issue 01 Open Access Journal of Agriculture Research Research Article Asfaw M, et al. Open Acc J Agri Res: OAJAR-100013. Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Oromia National Regional State, Ethiopia Milkessa Asfaw *1, Endrias Geta1 and Fikadu Mitiku2 1College of Agriculture and Natural Resources, Mizan -Tepi University, Ethiopia 2College of Agriculture and Veterinary Medicine, Jimma University, Ethiopia *Corresponding author: Milkessa Asfaw, College of Agriculture and Natural Resources, Mizan -Tepi University, Ethiopia, Tel: +251910586773, E-mail: [email protected] Citation: Asfaw M, Geta E, Mitiku F (2019) Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Oromia National Regional State, Ethiopia. Open Acc J Agri Res: OAJAR-100013. Received Date: 15 December, 2018; Accepted Date: 21 January, 2019; Published Date: 25 January, 2019 Abstract Productivity enhancement through enhancing efficiency in cereal production in general and in wheat production in particular could be an important speed towards achieving food security. This study was aimed at estimating the levels of technical, allocative and economic efficiencies of smallholder wheat producers; and to identify factors affecting efficiency of small holder farmers in wheat production in Abuna Gindeberet district, Oromia National Regional State, Ethiopia. Two stages sampling technique was used to select 152 sample farmers to collect primary data pertaining of 2016/17 production year. Both primary and secondary data sources were used for this study. Stochastic production frontier approach and two limit Tobit model was employed for data analysis. The stochastic production frontier model indicated that input variables such as mineral fertilizers, land and seed were the significant inputs to increase the quantity of wheat output.
[Show full text]
Addis Ababa University School of Graduate Studies Department of Statistics
ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES COLLEGE OF NATURA SCIENCES DEPARTMENT OF STATISTICS STATISTICAL ANALYSIS OF SPATIAL DISTRIBUTION OF MALARIA IN WEST SHOA ZONE, ETHIOPIA BY MITIKU MOSISSA AYANA A THESIS SUBMITTED TO THE SCHOOL OF GRADUATE STUDIES OF ADDISA ABABA UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN STATISTICS MAY, 2011 ADDISA ABABA, ETHIOPIA Addis Ababa University School of Graduate Studies Department of Statistics Title of Thesis: Statistical Analysis of Spatial Distribution of Malaria in West Shoa Zone, Ethiopia By Mitiku Mosissa Ayana Approved by the Board of Examiners: _____________________________ ……………… Department Head Signature _____________________________ ………………. Examiner Signature _____________________________ ……………… Examiner Signature CONTENTS Page Acronyms--------------------------------------------------------------------------------------------iv Acknowledgments----------------------------------------------------------------------------------v Abstract----------------------------------------------------------------------------------------------vi CHAPTER 1: Introduction -----------------------------------------------------------1 1.1. Background of the study----------------------------------------------------------------------1 1.2. Use of Spatial autocorrelation-----------------------------------------------------------------4 1.3. Statement of the problem----------------------------------------------------------------------6 1.4. Objectives of the
[Show full text]
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.
[Show full text]
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
[Show full text]