Coffee Research Strategy
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5 Love Family Farms
amily F F ar ve m o s L Kona Coffee for the Japanese Market Kent Fleming and Stuart T. Nakamoto The agriculture in Kona, a mountainous region on the western side of the Island of Hawaii (i.e., the Big Island), is known primarily for its coffee production. Until recently, Kona was the only location in the United States where coffee was grown commercially. Kona Coffee is an internationally renowned gourmet coffee. Production, harvesting, and processing are all done by hand on small farms averaging about four acres in size, and the coffee quality is carefully monitored and controlled. The name “Kona Coffee” is a federal trademark, and certifi cation is strictly enforced by the state. For these reasons, the supply of Kona Coffee is low relative to world demand, and this coffee can be sold at a premium. Kona Coffee and Jamaican Blue Mountain are currently the most expensive coffees in the world, selling for as much as $50 per pound in some specialty coffee retail stores. While the fi nal product receives a high price, the labor-intensive nature of its production means that costs are also relatively high. Farmers rely on transient, skilled, hand-harvest labor that is often diffi cult to obtain, especially during the peak of the harvest season. Indeed, costs are so high that the average “farm gate” price that growers receive is often less than the economic cost of production, which is about $1.10 per pound of cherry. Further, in spite of the relatively high demand for their product, farm gate prices can be extremely volatile, ranging from below the $0.40 per pound harvest cost to $1.75 per pound of cherry. -
Determinants of Coffee Market Outlet Choices in Gewata District, Kaffa Zone, Southwest Ethiopia
International Journal of Agricultural Marketing IJAM Vol. 7(1), pp. 233-243, February, 2020. © www.premierpublishers.org, ISSN: 0521-9965 Research Article Determinants of Coffee Market Outlet Choices in Gewata District, Kaffa Zone, Southwest Ethiopia Engida Gebre1*, Lemma Zemedu2, Bosena Tegegne3 1Department of Agricultural Economics MizanTepi University, P.O. Box: 260, Ethiopia 2,3School of Agricultural Economics and Agribusiness Haramaya University, Ethiopia; P.O. Box:138. Ethiopia has a broad genetic diversity among its coffee varieties. Coffee is one of the cash crop which is highly marketed through world next to petroleum. It has a great contribution in earning foreign currency and it is an income source for around 20 % Ethiopian population either directly or indirectly. Linking small producers to markets are widely recognized as a valuable development route and market outlets choice is one of the most important farm household decisions to sell their produce and has a great impact on household income. Even if the study area has great potential of coffee production, the farmers faced the marketing problem particularly in choice of appropriate coffee market outlets. This study was therefore carried out to analyze determinants of coffee producers’ market outlet choice decisions in Gewata district. Purposive and two stage random sampling technique was used and data was collected from 121 coffee producers. Multivariate probit model (MVP) was used to analyze factors influencing the choice of coffee market outlets choice by coffee producers. The multivariate probit model results indicated that quantity of coffee sold, education level, frequency of extension contacts, household size, years of farming experience, distance to nearest market, off/non-farm income, land under coffee and transport access significantly influenced coffee producers’ choice of market outlet. -
Hawaii County Food Self-Sufficiency Baseline 2012
Hawai‘i County Food Self-Suffi ciency Baseline 2012 Prepared for Hawai‘i County Department of Research and Development Prepared by University of Hawai‘i at Hilo Geography and Environmental Studies Department Jeffrey Melrose MURP Donna Delparte PhD. Hawai‘i County Food Self-Sufficiency Baseline 2012 Prepared for Hawai‘i County Department of Research and Development Prepared by University of Hawai‘i at Hilo Geography and Environmental Studies Department Jeffrey Melrose MURP Donna Delparte PhD. Baseline Study for Food Self-Sufficiency in Hawai‘i County - 1 Executive Summary The Hawai‘i County Food Self-Sufficiency Baseline study was commissioned by the County of Hawaii Research and Develop- ment Division to help inform the public and policy makers about the current status of food production on the island of Hawaii. It is intended to provide a context for shaping individual and collective initiatives to help increase the island’s capability to be more food self reliant. The report follows a recommendation in the Hawai‘i County Agricultural Plan to set a baseline from which to measure change in the islands local food system. It was prepared by the University of Hawai‘i at Hilo’s Geography and Environmental Studies Department in partnership with the Hilo based land use consulting firm of Island Planning. Food self-sufficiency on Hawai‘i Island has been in decline for over 230 years. Prior to 1778, Hawai‘i was 100% food self suf- ficient with no more than a dozen major food crops feeding a population arguably similar in size to the current resident popula- tion. -
Ethiopia Administrative Map As of 2013
(as of 27 March 2013) ETHIOPIA:Administrative Map R E Legend E R I T R E A North D Western \( Erob \ Tahtay Laelay National Capital Mereb Ahferom Gulomekeda Adiyabo Adiyabo Leke Central Ganta S Dalul P Afeshum Saesie Tahtay Laelay Adwa E P Tahtay Tsaedaemba Regional Capital Kafta Maychew Maychew Koraro Humera Asgede Werei Eastern A Leke Hawzen Tsimbila Medebay Koneba Zana Kelete Berahle Western Atsbi International Boundary Welkait Awelallo Naeder Tigray Wenberta Tselemti Adet Kola Degua Tsegede Temben Mekele Temben P Zone 2 Undetermined Boundary Addi Tselemt Tanqua Afdera Abergele Enderta Arekay Ab Ala Tsegede Beyeda Mirab Armacho Debark Hintalo Abergele Saharti Erebti Regional Boundary Wejirat Tach Samre Megale Bidu Armacho Dabat Janamora Alaje Lay Sahla Zonal Boundary Armacho Wegera Southern Ziquala Metema Sekota Endamehoni Raya S U D A N North Wag Azebo Chilga Yalo Amhara East Ofla Teru Woreda Boundary Gonder West Belesa Himra Kurri Gonder Dehana Dembia Belesa Zuria Gaz Alamata Zone 4 Quara Gibla Elidar Takusa I Libo Ebenat Gulina Lake Kemkem Bugna Kobo Awra Afar T Lake Tana Lasta Gidan (Ayna) Zone 1 0 50 100 200 km Alfa Ewa U Fogera North Farta Lay Semera ¹ Meket Guba Lafto Semen Gayint Wollo P O Dubti Jawi Achefer Bahir Dar East Tach Wadla Habru Chifra B G U L F O F A D E N Delanta Aysaita Creation date:27 Mar.2013 P Dera Esite Gayint I Debub Bahirdar Ambasel Dawunt Worebabu Map Doc Name:21_ADM_000_ETH_032713_A0 Achefer Zuria West Thehulederie J Dangura Simada Tenta Sources:CSA (2007 population census purpose) and Field Pawe Mecha -
Pest Management Strategic Plan for Coffee Production in Hawai'i
Pest Management Strategic Plan for Coffee Production in Hawai‘i Summary of a workshop held on April 16–17, 2007 Honolulu, Hawai‘i Issued January 2010 Lead Authors: Mike Kawate, Cathy Tarutani, and H.C. Bittenbender Contact Person: Cathy Tarutani, Education Specialist (808) 956-2004 [email protected] This project was sponsored by the Hawai‘i Farm Bureau Federation, co-sponsored with the State of Hawai‘i Department of Agriculture, and the Western Integrated Pest Management Center, which is funded by the United States Department of Agriculture– National Institute of Food and Agriculture. Table of Contents Executive Summary ...........................................................................................................3 Work Group and Contributors ........................................................................................4 Top Pest Management Priorities in Hawai‘i Coffee Production ...................................6 General Production Information ......................................................................................8 Production Regions ................................................................................................9 Cultural Practices ................................................................................................12 Integrated Pest Management ..............................................................................15 Crop Stages ...........................................................................................................16 Pest Pressures -
1 P. O. Box 168 Kealakekua HI 96750 PRESS RELEASE for IMMEDIATE RELEA
P. O. Box 168 Kealakekua HI 96750 PRESS RELEASE FOR IMMEDIATE RELEASE Hawaii Coffee Association Contact: Chris Manfredi [email protected] JULY 21, 2014 ~ HAWAII COFFEE ASSOCIATION HOSTS 19TH ANNUAL CONFERENCE AND 6TH ANNUAL STATEWIDE CUPPING COMPETITION -Kona, Hawaii- The Hawaii Coffee Association (HCA) celebrated its 19th Annual Conference and 6th Annual Statewide Cupping Competition July 18-20 at Sheraton Kona Resort and Spa at Keauhou Bay located in the world- famous Kona Coffee Belt. The HCA divided more than 82 entries assembled from across the state into two categories: Creative and Commercial. Qualifying for the Commercial division means that at least 1,000 lbs of the entered coffee is available for sale as of April 15. In the Creative Division, four of the top 10 coffees hailed from Ka’u, including the top two: Ali’i Hawaiian Hula Hands Coffee earned a score of 88.7 out of a possible 100; followed by FL Farm of Wood Valley with a score of 88.5 In the Commercial Division, five of the top 10 coffees were proudly grown in Kona with Aloha Hills Kona Coffee and Maui Grown Coffee tying for the top spot with a score of 87.3. The second spot went Kona’s Mountain Thunder Coffee Plantation earning a score of 87.0. The HCA also presented awards to the highest scoring coffees entered from each of the eight growing districts from across the state. These include Hamakua, Hawai‘i, Ka’u, Kaua‘i, Kona, Maui, O‘ahu and Moloka‘i. One Heart Farm of Hamakua was the finest coffee sampled from that verdant district, while Hilo Coffee Mill received top honors in the Hawai‘i district tallying a score of 87.2. -
Phynotypic Characterization and Production System of Bonga Breed
Sky Journal of Agricultural Research Vol. 6(4), pp. 062 - 072, July, 2017 Available online http://www.skyjournals.org/SJAR ISSN 2315-8751 ©2017 Sky Journals Full Length Research Paper Phenotypic characterization and production system of Bonga cattle in Its production environment of Kaffa Zone, Southwest Ethiopia Ebadu Areb, Tegbaru G. Silase, Dawit H. Giorgis, Chernet Reti, Bereket Zeleke and Metsafe Mamiru Southern Agricultural Research Institute, Bonga Agricultural Research Center, Ethiopia. Accepted 18 April, 2017 The study was conducted at Southern Nation Nationalities and Peoples Regional state, Kaffa administrative Zone of Chena and Gesha woredas on phenotypic characterization and its production system of Bonga cattle. Discussions with key informants, field study on morphological characteristics, survey with structured questionnaires, linear body measurements and secondary data were sources of data. Totally 138 households were selected to interview by using structured questionnaires and Morphological measurements were collected from 372 female and 76 male totally 448 mature cattle used randomly. The production system in the study area was mixed crop-livestock production system. Bonga bull reach for drought power was at the age of 3.53 ± 0.66 year. Analyzed data showed that the average age at first mating for male was 3.55 ± 0.07 and for female 3.94 ± 0.09. The overall mean age at first calving (AFC) of Bonga breeding female was 4.96 ± 0.09 years. The average reproductive lifespan of Bonga breeding male and female was 4.51± 0.16 and 16.05 ± 0.42 years respectively. Large body size was the first ranked trait for both male and female to select breeding male and female. -
Plant Diversity and Community Analysis of Gesha and Sayilem Forest in Kaffa Zone, Southwestern Ethiopia
BIODIVERSITAS ISSN: 1412-033X Volume 21, Number 7, July 2020 E-ISSN: 2085-4722 Pages: 2878-2888 DOI: 10.13057/biodiv/d210702 Plant diversity and community analysis of Gesha and Sayilem Forest in Kaffa Zone, southwestern Ethiopia ADMASSU ADDI1,♥, TESHOME SOROMESSA2, TURA BAREKE3 1 Department of Plant Biology and Biodiversity Management Addis, College of Natural Sciences, Ababa University. P.O. Box 3434, Addis Ababa, Ethiopia. ♥email: [email protected], [email protected] 2Center for Environmental Science, Addis Ababa University. P.O. Box 1176, Addis Ababa, Ethiopia 3Oromia Agricultural Research Institute. Oromia, Ethiopia Manuscript received: 7 May 2020. Revision accepted: 2 June 2020. Abstract. Addi A, Soromessa T, Bareke T. 2020. Plant diversity and community analysis of Gesha and Sayilem Forest in Kaffa Zone, southwestern Ethiopia. Biodiversitas 21: 2878-2888. The study was conducted at Gesha and Sayilem districts of the Kaffa Zone with the objective of identifying the floristic compositions, plant community types, and associated environmental factors of the forest. Stratified random sampling technique was used. A total of 90 plots were used to collect vegetation data. The plant community classification was performed using agglomerative Hierarchical cluster analysis Ward’s linkage method was applied in R-software. Species diversity and evenness were evaluated using the Shannon diversity and evenness indices respectively. The study revealed that the study area composed of 300 species that belong to 239 genera in 96 families. Asteraceae was the most abundant family followed by Fabaceae, Acanthaceae, Poaceae, Rubiaceae, and Euphorbiaceae accounting 37%, 15%, 14%, 13%, 12%, and 9% respectively. Five plant community types were identified and these were Ilex mitis-Syzygium guineense, Pouteria adolfi-friedericii-Schefflera abyssinica, Millettia ferruginea-Sapium ellipticum, Arundinaria alpina and Schefflera volkensii-Masea-lanceolata community types. -
Ethiopian Coffee Buying Guide
Fintrac Inc. www.fintrac.com [email protected] US Virgin Islands 3077 Kronprindsens Gade 72 St. Thomas, USVI 00802 Tel: (340) 776-7600 Fax: (340) 776-7601 Washington, D.C. 1436 U Street NW, Suite 303 Washington, D.C. 20009 USA Tel: (202) 462-8475 Fax: (202) 462-8478 USAID’s Agribusiness and Trade Expansion Program 4th Floor, Ki-Ab Building Alexander Pushkin Street Kebele 23 Addis Ababa Ethiopia Tel: + 251-(0)11-372-0060/61/62/63/64 Fax: + 251-(0)11-372-0102 () parenthesis indicate use within Ethiopia only Author Willem J. Boot Photography All photos by Willem J. Boot March 2011 This publication was produced for review by the United States Agency for International Development. It was prepared by Willem J. Boot for Fintrac Inc., the U.S. contractor implementing USAID/Ethiopia’s Agribusiness and Trade Expansion Program. March 2011 The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. CONTENT INTRODUCTION ....................................................................................................................... 1 PART ONE: THE MOTHERLAND OF COFFEE ...................................................................... 2 Culture and Geography ................................................................................................ 2 Coffee Characteristics ................................................................................................. 3 Processing: Sun-dried Natural Coffees vs. Washed Coffees -
Ethiopia: SNNP Region Administrative Map (As of 15 Aug 2017)
Ethiopia: SNNP region administrative map (as of 15 Aug 2017) ! ! ! ! ! ! ! ! ! Suten ! ! ! ! ! ! Inge Sodo ! ! !Bui ! ! WelikiteKebena Abeshege ! Kokir Gedbano ! ! Kela ! ! Muhur Na Ak!lil ! Gubire ! ! ! Cheha Agena ! Imdibir! ! Ezha Me!skan ! ! Inseno ! Gonichire ! ! ! Kibet Qewaqoto! Koshe ! ! ! ! ! ! ! Enemorina Eaner Alicho Woriro ! Gumer Mareko ! Selti ! ! Areket Alkeso town ! ! ! ! ! ! Geta Kose Tora ! Fofa ! Werabe ! ! ! Dinkela ! ! Sayilem! ! ! ! ! Yadota Geja Endiguagn Yem SP Woreda ! Dalocha ! Misrak Azenet Berbere ! ! ! ! Misha !LERA Dalocha Masha ! Wilb!areg Gibe ! ! Mierab Azenet Berbere ! ! Lanfero ! Homec!ho ! ! Fonqo town ! Mito ! GAMBELA Gesha (Deka) Kondo GECHA TOWN ! Analemmo ! ! !Deka ! Doesha !Belesa town ! Alem Gebeya Anderacha Getawa Gembora ! ! Limu ! ! Bonosha Sankura ! ! ! Lisana town Jajira Shashogo Gimbichu! ! Hufa ! ! ! Diri Soro ! Gojeb Bita (Big) Gimbo Doya Gena Jacho A!nigach!a ! Alaba SP Woreda ! ! ! Daniboya Wishiwishi Dune Kulito ! Kaka Idget ! Bita Genet ! OROMIA Kelata Mudula Hobichaka ! ! Bonga ! ! ! ! ! Yeki ! Menjiwo ! Chena Tembaro Ke!diada Gambela TEPI TOWN Hadero !TubitoKacha Bira ! ! ! !Adilo Chda Idge T!unito ! Legend WACHA ! ! Terche Misrak Badawacho ! Gena Bosa Chiri BOMIBE 01 ! ! ! ! !Karewo ! Mierab Badawacho ! Ameya P ! Tocha Tocha Edget Boloso Bombe Sheka Tulo ! Regional capital ! Waka ! Semen Bench Alem Gena ! ! ! ! Mehal Sheko Mareka Boloso SoreDamot Pulasa Hawassa Zuria PWondo-Ge! net Gesa ! ! Shanito Hawasa Town ! ! ! ! Shama Chuko Shay Bench ! Bitena Town Mizan Aman ! ! Tula ! Damot -
General Plan for the County of Hawai'i
COUNTY OF HAWAI‘I GENERAL PLAN February 2005 Pursuant Ord. No. 05-025 (Amended December 2006 by Ord. No. 06-153, May 2007 by Ord. No. 07-070, December 2009 by Ord. No. 09-150 and 09-161, and June 2012 by Ord. No. 12-089) Supp. 1 (Ord. No. 06-153) CONTENTS 1: INTRODUCTION 1.1. Purpose Of The General Plan . 1-1 1.2. History Of The Plan . 1-1 1.3. General Plan Program . 1-3 1.4. The Current General Plan Comprehensive Review Program. 1-4 1.5. County Profile. 1-7 1.6. Statement Of Assumptions. 1-11 1.7. Employment And Population Projections . 1-12 1.7.1. Series A . 1-13 1.7.2. Series B . 1-14 1.7.3. Series C . 1-15 1.8. Population Distribution . 1-17 2: ECONOMIC 2.1. Introduction And Analysis. 2-1 2.2. Goals . .. 2-12 2.3. Policies . .. 2-13 2.4. Districts. 2-15 2.4.1. Puna . 2-15 2.4.2. South Hilo . 2-17 2.4.3. North Hilo. 2-19 2.4.4. Hamakua . 2-20 2.4.5. North Kohala . 2-22 2.4.6. South Kohala . 2-23 2.4.7. North Kona . 2-25 2.4.8. South Kona. 2-28 2.4.9. Ka'u. 2-29 3: ENERGY 3.1. Introduction And Analysis. 3-1 3.2. Goals . 3-8 3.3. Policies . 3-9 3.4. Standards . 3-9 4: ENVIRONMENTAL QUALITY 4.1. Introduction And Analysis. 4-1 4.2. Goals . -
Bovine Ixodid Ticks: Prevalence, Distribution and Associated Risk Factors in Saylem, Gesha and Masha Districts, Southern Ethiopia
Advances in Biological Research 11 (5): 265-270, 2017 ISSN 1992-0067 © IDOSI Publications, 2017 DOI: 10.5829/idosi.abr.2017.265.270 Bovine Ixodid Ticks: Prevalence, Distribution and Associated Risk Factors in Saylem, Gesha and Masha Districts, Southern Ethiopia Tamirat Haile Shichibi, Murga Soma Edere and Tadesse Ferki Mekitet Mizan Veterinary Diagnostic Laboratory Center, P.O. Box: 254, Mizan-aman, Ethiopia Abstract: Ticks and tick borne disease cause considerable losses to the livestock economy. A cross-sectional study design was implemented from April 2016 to August 2016 to determine the distribution, estimate the prevalence of tick infestation and assess associated effects in cattle in Saylem, Gesha and Masha districts. The study population consists of local zebu breeds cattle with different sex, age and body condition. The collected ticks were identified using stereomicroscope and classified in to different species level. From 567 total bovine population overall prevalence of tick in three districts was 502 (88.54%) with Saylem 183 (91.50%), Gesha 149 (78.84%) and Masha 170 (95.51%). Two highly prevalent species of tick in the whole districts was Rhipicephalus (formerly Boophilus) decoloratus 255 (30.61%) and Amblyomma cohaerens 253 (30.37%) while the lowest one was Haemaphysalis parmata 13(1.56%). The highest prevalent tick species recorded in all PAs was R. (B.) decoloratus except A. cohaerens in Dino 42 (7.41%) and Kico 41 (7.23%). The result showed that the total highest infestation rate was mixed infestation 417 (83.06%) while lowest was single infestation 85 (16.93%) in tick positive animals. Research result indicated that high tick prevalence in the areas therefore, more attention is needed to control and minimize its distribution.