Small and Medium Forest Enterprises in 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 -- -
Analysis of Extension Gap Among Improved Bread Wheat Producer's
vv ISSN: 2640-7906 DOI: https://dx.doi.org/10.17352/ojps LIFE SCIENCES GROUP Received: 15 May, 2021 Research Article Accepted: 31 May, 2021 Published: 02 June, 2021 *Corresponding author: Sintayehu Abebe, Ethiopian Analysis of extension gap Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assela, P. O.Box 489, Ethiopia, Tel: +251 9 13 10 42 04; E-mail: among improved bread wheat Keywords: Bread wheat; Extension gap; Clustered- based; Demonstration producer’s farmers found https://www.peertechzpublications.com at Arsi Robe District of Arsi Zone, Oromia Regional State, Ethiopia Sintayehu Abebe* Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assela, P. O.Box 489, Ethiopia Abstract This study reports the analysis of agricultural extension gap among four improved bread wheat varieties at Arsi Robe district, Arsi Zone, along with their management practices under farmers ’condition to enhance farmers’ knowledge and skill on bread wheat production. Four improved bread wheat varieties were used to demonstrate namely Honkolo,DEKA,Hidase(check) and Lemu. Honkolo variety had a 43.8% yield advantage over the standard check (Hidase), DEKA had a 16.4% yield advantage over the standard check (Hidase), and the variety Lemu had a negative -25.8% yield loss or below the standard check (Hidase) and it conclude that both Honkolo and DEKA varieties are the fi rst and second option for the farmers whereas the variety Lemu is not recommended due to low productivity in the study area and others areas having similar agro ecologies. The result of agricultural extension gap analysis showed that Honkolo variety had a -2.7q/ha yield increment or in other words Honkolo variety had achieved 104.3% of the potential at research fi eld and had a 4.3% yield advantage than the research fi eld. -
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. -
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: 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. -
Wheat Stem Rust (Puccinia Graminis F
ISSN 2394-966X International Journal of Novel Research in Life Sciences Vol. 6, Issue 3, pp: (18-23), Month: May - June 2019, Available at: www.noveltyjournals.com Wheat Stem Rust (Puccinia graminis f. sp. tritici) Disease Assessment in Arsi and West Arsi Zones, South Eastern of Ethiopia Worku Abebe1, Temam Hussien2 1Ethiopian Institute of Agricultural Research Holeta Agricultural Research Centre, Ethiopia 2 Haremaya University College of Agriculture and Natural Resources Department of Plant Protection Corresponding Author: Worku Abebe: e-mail: [email protected] Abstract: Wheat is the most important and widely grown cereal crop in the world. In Ethiopia, wheat is one of the most important cereal crops and is widely grown in a wide range of altitudes and agro-ecological zones. It is the main staple food of the Ethiopian population particularly in the highlands where it is produced in a large volume. Though it was the most important; its production is constrained by different biotic and abiotic constraints. Of the biotic constraints; wheat stem rust is the most destructive and widely distributed disease in the world and in Ethiopia. It is prevalent in most wheat growing areas of Ethiopia and reports indicate that most Ethiopian wheat varieties are susceptible to most of previously identified races of Puccinia graminis f. Sp. tiritici and to the newly evolved Puccinia graminis f. sp. tiritici race Ug99 and its lineages. Thus, this frequent change of virulence in wheat stem rust pathogen population requires a continuous assessment for the appearance of new races and for the evaluation of reactions of the existing wheat varieties. -
(Tor) Assessment of Production, Economic and Social Impact of Interventions with Innovations on Selected Fa
Terms of Reference (ToR) Assessment of production, economic and social impact of interventions with Innovations on selected farms with wheat and faba bean production in Arsi 1. Background Ethiopia has very diverse bio-physical environment with a variety of ecosystems, with significant differences in climate, soil properties, vegetation types, agricultural potential, biodiversity and water resources. That results in different farming systems and farming products. The crop subsector which, on average, accounted for about 30 percent of GDP has been the major contributor to the growth of the agricultural value added during the period of the GTP (Growth and Transformation Plan). The productivity of major food crops (Cereals, Pulses, and Oil seeds) reached an annual average level of 17.6 quintal (100 kg) per hectare. Further increase in production and productivity of major crops will continue to be a priority in the next five years (2016-2020) by fully implementing strategies such as delivering effective extension services, supplying agricultural inputs and conducting famers training. The participation of several actors like international partners and private business will be encouraged and supported as well by the government. In general, during the period of the second Growth and Transformation Plan, objectives are broadly set in terms of increasing crop and livestock production and productivity, promoting natural resource conservation and utilization, ensuring food security and disaster prevention and preparedness. In this regard, the German -
Livestock Production System Characterization in Arsi Zone, Ethiopia
Vol. 9(9), pp. 238-245, September 2018 DOI: 10.5897/IJLP2018.0494 Article Number: 52467D458132 ISSN: 2141-2448 Copyright ©2018 International Journal of Livestock Author(s) retain the copyright of this article http://www.academicjournals.org/IJLP Production Full Length Research Paper Livestock production system characterization in Arsi Zone, Ethiopia Tamrat Gebiso Oromia Agricultural Research Institute, Asella Agricultural Engineering Research Center, Ethiopia. Received 28 May, 2018; Accepted 3 July, 2018 Despite its vital role in the country’s economic activities, livestock sector was considered as poor investment for development in Ethiopia. But currently, it is being given due attention in government policy planning, especially in the last two growth and transformation plans. Arsi zone is known for its own cattle breed known as “Arsi breed” (one of the six local breeds of the country) and has huge livestock population. However, the production system and constraints have not been studied. Therefore, this research was initiated to characterize the production system and prioritize associated production constraints in Arsi zone. In general, the livestock production constraints were studied to be identified and prioritized in order of their importance in each farming system. Overall constraints were categorized into five clusters as feed related constraints, health related constraints, breed related constraints and financial and human power related constraints. Therefore, to solve these constraints, establishment of feed development research program in nearby center (most likely in Asella Agricultural Engineering Research Center) and strong extension system to promote improved forages, better health care and use of improved breeds are suggested as a solution. Provision of credit system in order to enable farmers use all the services like purchase of initial livestock, concentrates and the like must be given due attention. -
ETHIOPIA Food Security Outlook January to June 2011
ETHIOPIA Food Security Outlook January to June 2011 Following the meher harvest, which began in October Figure 1. Current estimated food security outcomes, 2010, food security has generally improved in the January 2011 meher producing parts of the country. However, due to crop damage caused by widespread floods and other weather related shocks the meher harvest is likely to be lower than initially anticipated. The Humanitarian Requirement Documents outlining assistance needs is expected to be released in February 2011. Although the National Meteorology Agency has not provided a forecast for the April to June gu/genna/belg rains, below normal performance of these rains is considered likely. This is expected to exacerbate prevailing food insecurity which resulted from near complete failure of October to December rains in southern pastoral and agro pastoral areas. Due to close to normal sapie (December/January) 2010 rains food security among the dominant root crop, For more information on FEWS NET’s Food Insecurity Severity Scale, please see: www.fews.net/FoodInsecurityScale mainly sweet potatoes growing areas in central and eastern SNNPR is estimated to remain stable Source: FEWS NET and WFP throughout the outlook period. The poor and very poor households normally rely on these harvests, during the March to May lean season. Staple food prices are likely to follow typical seasonal trends throughout the outlook period, though remain higher than the 2005 to 2009 averages given the current harvest and the continued price stabilization measures taken by the government. Seasonal calendar and critical events Source: FEWS NET FEWS NET Washington FEWS NET Ethiopia FEWS NET is a USAID-funded activity. -
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.