Study on the Quality Parameters and the Knowledge of Producers on Honey Adulteration in Selected Districts of Arsi Zone

Total Page:16

File Type:pdf, Size:1020Kb

Study on the Quality Parameters and the Knowledge of Producers on Honey Adulteration in Selected Districts of Arsi Zone www.iaard.net IAARD Journals eISSN:2456-009X International Journal of Agriculture And Veterinary Sciences IAARD-International Journal of Agriculture and Veterinary Sciences, 2018, 4(1),1-6 Study on the quality parameters and the knowledge of producers on honey adulteration in selected districts of Arsi Zone Mulualem Ambaw1 and Teklemedhin Teklehaimanot1 Corresponding author’s Email address: [email protected] Co-author’s Email: [email protected] 1Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center ………………………………………………………………………………………………………………………………………….. Abstract: The study was carried out selected districts of Arsi zone to characterize honey quality parameters and to assess the perception and knowledge of honey producers. From seven randomly selected districts a total of 52 respondents were interviewed with structured questionnaire on adulteration of honey and ways of identification of adulterated honey in the study areas. In addition a total of 48 honey samples each weighing 0.5 kg (10.5kg) from different beekeepers and 13.5 kg of honey from local market was collected randomly for physicochemical evaluation. Intentional adulteration of pure honey by different adulterant material like ripened banana, sugar, coca cola, were done in the laboratory as reference frame for the collected samples. According to the respondents response 95.5% of actors on adulteration of honey were retailers. Adulterated honey was locally detected by, visual inspection, testing by tongue, viscosity, and finger test methods. Adulterant materials most frequently used in the study area were sugar, ripened banana, wheat flower, potato, maize flower, pollen, empty combs, melted candy, molasses and hot water according respondents replied. Regarding the laboratory test result, the mean water content, water insoluble solid and PH value of the collected honey samples were 19.98%, 3.6 and 3.9 respectively. Water insoluble solids of honey purchased from beekeepers were not within the acceptable range of world and national standards. In conclusion the some of the quality parameter of honey was deviated from national and international standards. Intervention is needed on processing and post harvest handling. Keywords: Adulteration, honey quality, Arsi zone ………………………………………………………………………………………………………………………………………….. Introduction Oromian honey in particular for their electrical conductivity, ash content, moisture content, pH value and HMF [8]). Honey bees produce honey from the nectar of plants Nevertheless, there is no sufficient work on quality or from secretions of living parts of plants or excretions of determination as well as effect, extent and materials used for plant sucking insects on the living parts of plants, which the adulteration of locally produced natural honey. Nowadays, bees collect, transform by combining with specific substances adulteration of different natural food items becomes a of their own, deposit, dehydrate, store and leave in the honey common problem in many parts of the world regardless of comb to ripen and mature [1] .It is a natural sweet food economic status of the nation. One of the susceptible food produced by bees from nectar or secretion of flowers. materials for intentional or unintentional adulteration or Honey has a content of 80-85 % carbohydrates, 15-17 % water, contamination is honey. The most common adulterant 0.3 % proteins, 0.2% ashes, and minor quantities of amino- materials mixed with honey are sucrose, corn syrup, acids and vitamins as well as other components in low levels of molasses, banana or other harmless or harmful materials. concentration [2] .It is a complex mixture and presents very The act of honey adulteration is causing severe impact on the great variations in composition and characteristics due to its domestic and international market opportunities of the product geographical and botanical origin and its main features and may result nutritional and health problems on consumers depending on the floral origin or the nectar utilized by bees [3], [9]. Honey is side to be adulterated if debating from the pure [4]. honey parameter wholly or in part. It may also contain some added substances injurious to health and for whatever Ethiopia is the largest honey- producing country in reasons its quality is below the standard. This study was Africa and one of the top ten countries in the world ([5], [6] .Most initiated to assess their quality parameters and the perception parts of the Oromia National Regional State in general and the and knowledge of producers and merchants on adulteration of central parts of the region in particular are known for honey and to suggest simple methods of screening adulterated their production of high quantity of honey in Ethiopia. The honey samples from the pure ones. amount of honey produced in the Oromia Region is 111975.58 quintals of honey from 2204137 numbers of hives which Materials and methods accounts about 46% of the total honey production of the country [7]. Some research were conducted to assess the The study was conducted in Arsi Zone, south Eastern physicochemical properties of Ethiopian honey in general and part of Oromia Region. According to Oromia bero of finance, Mulualem Ambaw and Teklemedhin Teklehaimanot Page No.1 IAARD-International Journal of Agriculture and Veterinary Sciences, 2018, 4(1),1-6 economic development regional statistics information,Arsi of the two readings were recorded and corresponding value Zone is located 175 km far from Adiss Ababa and situated for moisture content was recorded. between 6˚45'N to 8˚58’N latitude and 38˚32'E to 40˚50'E longitude. The mean annual temperature of the Zone ranges The PH of honey is defined as the free acidity of between 20˚C - 25˚C in the low land and 10˚C -15˚C in the honey. The content of all free acids, were expressed in milli central high land [10].The study zone, districts and respondents equivalents /kg. Ten grams of honey sample was weighed and were selected purposively according to potentiality to dissolved in 75 ml of distilled water in 250 ml beaker. The beekeeping and agreement of participants to participate for this solution was stirred by stirrer and pH electrode was immersed study. Face to face to interview of 52 respondents from seven in the solution and pH reading was recorded. districts by structured questioner were done to assess the The water insoluble solids were determined by knowledge and perception on adulteration of honey and dissolving twenty grams of honey in a suitable quantity of adulterant materials. Data like, adulteration of honey, actors of distilled water at 80 °C and mixed well. The test sample was adulteration, market place, and materials used for adulteration filtered through a previously dried and weighed fine sintered of honey were collected during interview. In addition to a total glass crucible and washed thoroughly with hot water (80 °C) of 48 honey samples, 21 from beekeeper and 27 from local until free from sugar. The crucible was dried for one hour at market were collected by air tit 0.5 kg container for laboratory 130 °C, cooled and weighed to the nearest 0.1 mg. Finally the analysis. Fresh honey samples were collected during the major result was expressed as percent water-insoluble solids. honey flow season from October-December and tagged accordingly. Insoluble solids % by mass =M1-M2/WX100 Where:- Physicochemical properties M1= Mass of the residue and the crucible Physicochemical properties like (Moisture content, M = Mass of the crucible PH, water insoluble solids, match lighting test, water test, W = Mass of the test portion (20gram) thumb test and shelf life test of honey were evaluated according to International Honey Commission [11]. The physical Organoleptic test properties of the collected honey were analyzed in Kulumsa The color and test of the collected honey samples Agricultural Research center, livestock research process in were identified by physical observation of the color, aroma, test collaboration with food and nutrition laboratory. and the sweetness. The moisture content of honey was estimated by Ash (mineral content) determining the refractive index of the sample with the use of Ten grams of honey were weighed and taken in a digital refracto meter (Abe refract meter) that can be thermo silica crucible and 3-4 drops of olive oil were added to avoid stated at 20°C, regularly calibrated with distilled water from the fluttering and kept in muffle furnace at 600 OC for 3-4 hours. refractive index of the honey by reference to a standard The weight of the ash was determined by deducting the weight table .The sample was directly smeared on the surface of the of empty crucible from the total weight of empty crucible and prism evenly; after two minutes the reading of refractive index ash. The percentage of ash was calculated by using the were recorded. Each sample was measured twice and averages following formula. __________________________________________________________ Weight of sample honey Some other quick tests used to assess the adulterated honey Thumb Test: Put a drop of the honey on the thumb. If the honey spreads around right away or spills, the honey is not Water test: one table spoon of honey samples was added into a pure. If it stays intact, it’s pure. glass of water and observation of the added honey showed Shelf life test: The collected honey samples were stored either dissolved or settled at the bottom of the glass. Pure properly in air tit container for one year and seen the crystal honey was settled at the bottom of the glass whereas formation. adulterated (artificial) honey was started dissolving in water immediately after adding in to the water. Data analysis Data was managed in excel and analyzed in SPSS Light a Fire: when we dip the tip of a matchstick in “honey”, version16. Descriptive statistics was used. strike it to light. Natural honey gives light the match easily and the flame was burnt off the honey. Adulterated (artificial) Result and discussion honey gave smokes instead of burning because of the high From a total of 52 respondents interviewed 5.8% and moisture content it contains.
Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Malt Barley Value Chain in Arsi and West Arsi Highlands of Ethiopia
    Academy of Social Science Journals Received 10 Dec 2020 | Accepted 15 Dec 2020 | Published Online 29 Dec 2020 DOI: https://doi.org/DOI 10.15520/assj.v5i12.2612 ASSJ 05 (12), 1779−1793 (2020) ISSN : 2456-2394 RESEARCH ARTICLE Malt Barley Value Chain in Arsi and West Arsi highlands of Ethiopia Bedada Begna1 , Mesay Yami2 1 Kulumsa Agricultural Research Abstract Center, Ethiopian Institute of Agricultural Research (EIAR) The study was undertaken in four districts of Arsi and West Arsi zones where malt barley is highly produced. Different participatory 2Ethiopian Institute of Agricultural rural appraisal approaches were employed to conduct the study. The Research (EIAR), National findings indicated that land allotted for malt barley production has been Fishery and Aquatic Life Research increased in the study areas since 2010, scarcity was noticed due to Center (NAFALRC) constraints related to quality and existence of malt barley competing outlets. Malt barley marketing is complex and dynamic where various actors are involved in its marketing. The marketing route changes over time depending on the demands at the terminal markets. Assela Malt Factory (AMF) plays a great role in determining malt barley price while producers are price takers. Among five major malt barley marketing channels only three of them are supplying to the factory. AMF accessed to 90% of malt barley from the channel via traders and the direct supply by farmers via cooperatives was not more than 10%. The channel via cooperatives which is strategic for both producers and the factory was serving below anticipated due to the financial constraints and management skill gaps of the cooperatives.
    [Show full text]
  • Small and Medium Forest Enterprises in Ethiopia
    The annual value of small and medium forest enterprises (SMFEs) in Ethiopia amounts to hundreds of millions of dollars – dominated in rough order of value by fuelwood, herbal remedies, wild coffee, honey and beeswax and timber furniture. The majority of these enterprises are informal and remain Small and medium forest largely unregulated and untaxed by any government authority. Nevertheless these enterprises appear to have significant social and economic benefits. The Government of Ethiopia has responded by providing support, particularly through enterprises in Ethiopia the framework of Micro and Small Enterprises. The recent establishment of the Oromia State Forest Enterprises Supervising Agency and new policy declarations about the community’s stated role in forest management are clear indications of the current interest in forest resources and the roles they play in rural livelihoods. Non-governmental organisations have also been experimenting with Participatory Forest Management and offered training to emerging enterprises, particularly those engaged in non-timber forest products. Yet few associations have yet been established to try and access the more lucrative markets beyond the local setting. SMFEs have great potential to reduce poverty in Ethiopia, but in their present unregulated state also represent a threat to the country’s declining forest resources. This report consolidates information about them and suggests a practical way forward for those wishing to support them. IIED Small and Medium Forest Enterprise Series No. 26 ISBN
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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:
    [Show full text]
  • 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
    [Show full text]
  • Determinants of Food Security in Farm Household in Drought Prone Area of Oromia Region: in Case of Dodota District
    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 Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.7, No.17, 2016 Determinants of Food Security in Farm Household in Drought Prone Area of Oromia Region: In Case of Dodota District Girum Dagne Bule Hora University, Bule Hora, P.O.Box-144, Ethiopia Abstract This study analyzed the determinants of major determinants of food security in farm household in drought prone area of Oromia Region taking evidence from rural kebele of Doddota wereda. In order to achieve these objectives demographic and socio-economic data were collected from 200 randomly selected households in Dodota District of Arsi Zone Oromia Regional State. The sample households were classified into food secure and food insecure groups based on estimated food expenditure value of meeting Recommended Daily Allowance (RDA) of 2200 kcal.The summary was made using STATA 11 software. The data collected were analyzed using descriptive statistics and binary logistic regression model. The descriptive analysis of the study revealed that only 23% of the sample households were food secured and about 77% are food insecure. Binary logistic regression model has been employed to identify the major determinants of Food security.Therefore, policy needs to focus on supporting households in delivering services in the area of the determinants of household food security in the study area. Specially, focus should be given to the significant variables which determinate the food security in farm households of the study area.
    [Show full text]
  • Assessment of the Role of Agricultural Cooperatives in Input Output Market in Boke, Anchar and Darolebu Districts of West Hararghe Zone, Oromia Region, Ethiopia
    Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.10, No.11, 2020 Assessment of the Role of Agricultural Cooperatives in Input Output Market in Boke, Anchar and Darolebu Districts of West Hararghe Zone, Oromia Region, Ethiopia *Birhanu Angasu Tadesse Melka Gosa Alemu Jima Degaga Oromia Agricultural Research Institute, Mechara Agricultural Research Center, P.O.BOX 19, Mechara, Ethiopia Abstract The study was conducted in three districts where agricultural cooperatives have been well promoted in West Hararghe zone to identify role of primary agricultural Cooperatives and factors affecting its role in the study area. Structured interview schedule were used to collect data from 180 cooperative members and non-members selected randomly from six agricultural cooperatives and its surrounding. Focus group discussions were also conducted to collect qualitative data from respondents. In this study, the statistical tools like descriptive statistics such as mean, frequency distribution and percentage, SWOT analysis and an index score was used to rank major constraints. Out of interviewed respondents, 66.7% were member of cooperative while 33.3% were non-members of the cooperatives. Most primary cooperative mainly focuses on the activities like provision of fertilizer (DAP, UREA and NPS), consumable food items (sugar and cooking oil) and rarely involved in improved seed distributions. Lack market interest, climate change, lack of market information, insufficient capital and low price of the marketable commodity were major constraints found in agricultural commodities in study area. Strengthening training, improve their capital, services and transparency, increasing members participation, sharing dividend to the members and annual auditing their status were major recommendation delivered for responsible bodies by the study.
    [Show full text]
  • 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.
    [Show full text]
  • ETHIOPIA - Flood 01 June 2010 ERITREA Legend
    ETHIOPIA - Flood 01 June 2010 ERITREA Legend # Flood Affected Town North Western Eastern Central Western International Boundary © Zone 2 Regional Boundary Zonal Boundary Southern North Gonder Wag Himra Zone 4 SUDAN Flood Affected Areas DJIBOUTI North Wollo Zone 1 Lakes South Gonder West Gojam Metek el Awi/Agew Zone 5 South Wollo Special Woreda Oromia East Gojam Somali R egion Gode Zone Asosa Shinile Erer Repo rts show that a flo od in Zone 3 Kela fo and Mustahil wo reda North Shewa(R3) displaced 60,000 people Teferi Ber Kemashi Horo Guduru North Shewa(R4) In De nan to wn a fla sh flo od Dir e Dawa West Wellega displaced o ve r 4,000 p eople. East Wellega Hareri Jijiga West S hewa Kora he Zone A flood in Maraato a rea of Region 14 West Harerge Kebride har District , affected Kelem Wellega East Harerge Anchar more than 700 H H . Wenchi East Shewa Boset Merti South West Shewa Adama Ilubabor Jeju Map Doc Name: 15_Flood_000_ethiopia_060110_A4 Nuer Dugda Degehabur Gurage Chole Creat ion Date: 01 Jun. 2010 Hitosa Ziway Dugda Web Resources: http://ochaonline.un.org/ethiopia Jimma Tiyo Yem Arsi Selti Adami Tulu Tena Fik Contact address: [email protected] Agnuak Seru Sheka Hadiy a Munessa Inkolo Wabe 0 25 50 100 150 kms Mezhenger Alaba KAT Shalla Agarfa Warder Keffa West Arsi Map data source(s): Hadiy a Ginir Wondo-Genet UNOCHA , Humanitarian Partners Dawro Goro Konta Wolayita Kebridehar Warder Disclaimers: Sidama Bale East Imi Denan Korahe The designations employed and the presentation of # mater ial on this map do not imply the ex pression of any opinion whatsoever on the part of the Secretariat of the Bench Maji Basketo Gamo Gofa Mirab Abaya United Nations concerning the legal s tatus of any Gedio Gode Shilabo country, territory, city or area or of its authorities, or Adola concerning the delimitation of its fr ontiers or boundaries.
    [Show full text]