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3. Challenges to joint planning, monitoring, and evaluation for nutrition-sensitive agriculture in Ethiopia: An exploratory qualitative study

Author

Bezabih, Afework Mulugeta; Kahsay, Znabu Hadush; Kahsay, Amaha; Bekele, Abate; Seid, Omer; Asfaw, Selemawit; Gebrearegay, Freweeini; Tadesse, Kidane; Bazzano, Alessandra N.; Jogo, Wellington; Covic, Namukolo; Busse, Heidi, http://orcid.org/0000-0001-6566-9803 Covic, Namukolo, Bezabih, Afework Mulugeta; Kahsay, Znabu Hadush; Kahsay, Amaha; Bekele, Abate; Seid, Omer; Asfaw, Selemawit; Gebrearegay, Freweeini; Tadesse, Kidane; Bazzano, Alessandra N.; Jogo, Wellington; Covic, Namukolo; Busse, Heidi, and http://orcid.org/0000-0001-6566-9803 Covic, Namukolo

Abstract

PR, IFPRI3; CRP4, A4NH, CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), Background: Nutrition-sensitive agriculture is an efective multi-sectoral approach to address the underlying causes of malnutrition. However, successful implementation requires the involvement of diferent sectors to jointly plan, monitor, and evaluate key activities, which is often challenged by contextual barriers. Previous studies in Ethiopia have not adequately explored these contextual barriers. Hence, the current study aimed to qualitatively explore the challenges to joint planning, monitoring, and evaluation for nutrition-sensitive agriculture among sectors in Ethiopia. Methods: A qualitative exploratory study was conducted in Tigray and Southern Nations, Nationalities, and Peoples (SNNP) of Ethiopia regional states in 2017. Ninety-four key informants were purposively selected from government agencies primarily in health and agriculture, from local (kebele) to national levels, and ranging from academic organizations, research institutions, and implementing partners. Researchers developed a semi-structured guide and conducted key informant interviews which were audiotaped, transcribed verbatim in local language, and translated to English. All transcriptions were imported into ATLAS.ti Version 7.5 software for coding and analysis. The data analysis followed an inductive approach. Transcriptions were coded line by line; then similar codes were grouped into categories. Subsequently, non-repetitive themes were identifed from the categories using thematic analysis methodology. Results: The following themes were identifed as challenges that hinder joint planning, monitoring, and evaluation to link nutrition to agriculture: (1) limited capacity, (2) workload in home sector (agriculture or nutrition), (3) lack of attention to nutrition interventions, (4) inadequate supportive supervision, (5) problematic reporting system, and (6) weak technical coordinating committees. Conclusions and recommendations: Gaps in human and technical resources, limited attention from difere

Published
2023

4. Challenges to joint planning, monitoring, and evaluation for nutrition-sensitive agriculture in Ethiopia: an exploratory qualitative study

Author

Bezabih, Afework Mulugeta, primary, Kahsay, Znabu Hadush, additional, Kahsay, Amaha, additional, Bekele, Abate, additional, Seid, Omer, additional, Asfaw, Selemawit, additional, Gebrearegay, Freweeini, additional, Tadesse, Kidane, additional, Bazzano, Alessandra N., additional, Jogo, Wellington, additional, Covic, Namukolo, additional, and Busse, Heidi, additional

Published
2023
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5. Estimating Profit and Technical Efficiency of Small-scale Irrigation Shallot Farming: A Case Study of Godino Peasant Association in Ada Woreda, Oromiya Region, Ethiopia

Author

Bekele, Abate and Assefa, Kebebew

Abstract

Limited information exists on the economics of horticultural production in Ethiopia. For instance, while the yield of shallot is fairly known, its production costs and benefits are grossly unknown. The objective of this study was, therefore, to estimate the profit and technical efficiency of small-scale irrigation farming by monitoring the costs incurred. Based on farm-level data from 106 small-scale irrigation producers, the farm level profit and output-oriented technical efficiency indices were determined using the SPSS computer package and stochastic production function, respectively. The average cost to produce one kilogram of shallot was estimated at Birr 0.72 whereas the average farm gate price was estimated at Birr 1.87. This indicated that producing shallot under smallscale irrigation farming is a financially viable venture, and it significantly contributed to household cash income and food security. The profit levels at the the three studied areas ranged from24-145%. The stochastic frontier results revealed mean technical efficiency of 0.77 for all the farms. This means that average levels of farms were below the frontier by 23%, which otherwise means that the total output of shallot could be increased by up to 23% above the actual output levels attained in the study area during the survey year. The most limiting factors for small-scale irrigation farming were the demand of the irrigation husbandry for strenuous efforts of the farmers (95%), lack of fertilizer (91%), input-costs (70%), lack of credits (45%) and shortage of water in May (30%).&nbsp

Published
2022

6. Technology generation to dissemination: lessons learned from the tef improvement project

Author

Cannarozzi, Gina, Chanyalew, Solomon, Assefa, Kebebew, Bekele, Abate, Blösch, Regula, Weichert, Annett, Klauser, Dominik, Plaza-Wüthrich, Sonia, Esfeld, Korinna, Jöst, Moritz, Rindisbacher, Abiel, Jifar, Habte, Johnson-Chadwick, Victoria, Abate, Ermias, Wang, Wuyan, Kamies, Rizqah, Husein, Negussu, Kebede, Worku, Tolosa, Kidist, Genet, Yazachew, Gebremeskel, Kidu, Ferede, Brikti, Mekbib, Firew, Martinelli, Federico, Pedersen, Hans Christian, Rafudeen, Suhail, Hussein, Shimelis, Tamiru, Muluneh, Nakayama, Naomi, Robinson, Mike, Barker, Ian, Zeeman, Samuel, and Tadele, Zerihun

Published
2018
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7. Seed-Business Oriented Demonstration Trials: An Efficient Option to Promote Tef (Eragrostis tef ) Varieties

Author

Bekele, Abate, Chanyalew, Solomon, Damte, Tebkew, Husien, Nigussu, Kebede, Worku, Tolosa, Kidist, Genet, Yazachew, Assefa, Kebebew, Nigussie, Demeke, Klauser, Dominik, and Tadele, Zerihun

Subjects
Lead farmers, Tef varieties, Seed yield, Tef straw, Production costs
Abstract

አህፅሮት ኢትዮጵያ ውስጥ ጤፍ (Eragrostis tef) ከ6.5 ሚሊዮን በሚበልጡ አነስተኛ አርሶ አደሮች ይመረታል፡፡ ሆኖም ግን የተሻሻሉ ቴክኖሎጂዎችና የምርጥ ዘር ተጠቃሚነት ውስን በመሆኑ የሰብሉ ምርታማነት ዝቅተኛ እንደሆነ ቀጥሏል፡፡ ስለሆነም አነስተኛ አርሶ አደሮች ጥራቱን ለጠበቀ የጤፍ አራቢ ዘር ያላቸውን ተደራሽነት ለመጨመር ዓላማ ያደረገ ጥናት በ254 መሪ አርሶ አደሮች ማሳ ላይ ተካሂዷል፡፡ በጥናቱም በቅርብ ጊዜ የተለቀቁ ሦስት አዳዲስ ዝርያዎች እና አንድ ቀደም ብሎ የተለቀቀ ዝርያ (ቦሰት) ተካተው ተገምግመዋል፡፡ ለእያንዳንዱ መሪ-አርሶ አደር የአራቱም ዝርያዎች ማለትም የኮራ፣ የተስፋ፣ የዳግም እና የቦሰት አራቢ ዘር ተሰጥቷል፡፡ የአራቱ ዝርያዎች የዘር ምርት ተቀራራቢ (ኮራ = 1.94፣ ተስፋ = 2.31፣ ዳግም = 2.24 እና ቦሰት = 2.36 ቶን በሄክታር) ነበር፡፡ ጥናቱ በተካሄደባቸው ወረዳዎች ያለውን የግብዓት ዋጋ እና የምርት ዋጋ እሳቤ ውስጥ ሲገባ የተገኘው አማካይ ያልተጣራ ገቢ 65,355.90 ብር በሄክታር ሲሆን አማካይ የማምረቻ ወጪው ደግሞ 26,355.52 ብር በሄክታር ነበር፡፡ ከማምረቻ ወጪዎች መካከል ለጉልበት የወጣው ወጪ ትልቁን ድርሻ ሲይዝ ከጠቅላላው ወጪ 58 በመቶ ድርሻ ነበረው፡፡ በአጠቃላይ የገቢ-ወጪ ምጣኔ 1.5 በመሆኑ የተሻሻለ የጤፍ ዝርያ ቴክኖሎጂ መጠቀም በጣም ትርፋማ እንደሆነ ጥናቱ ያመልክታል፡፡ ይህም በመሆኑ አዳዲስ የሚወጡ የጤፍ ዝርያዎችን ዘር አባዝቶ ለገብያ ማቅረብን ትኩረት ያደረገ የሰርቶ ማሳያ ስራ ቢሰራ ለአርሶ አደሮች ሳቢና አዋጭ ሆኖ ተገኝትዋል፡፡ ጠቋሚ ቃላት፡ መሪ አርሶ አደሮች፤ የጤፍ ዝርያዎች፤ የምርጥ ዘር ምርት፤ የጤፍ ጭድ፤ የምርት ዋጋ Abstract Tef (Eragrostis tef) is extensively cultivated by over 6.5 million smallholder farmers in Ethiopia. However, the productivity of the crop remains low mainly due to the limited use of improved technologies including seeds. In this study, three recently released and one old (as a check) tef varieties were evaluated on 254 lead farmers’ fields with the main aim of increasing farmers’ access to quality breed seeds.Each lead farmer was provided with breeder seeds of four improved tef varieties, namely Kora, Tesfa, Dagim, and Boset.The seed yield from the four tef varieties were comparable (Kora = 1.94, Tesfa = 2.31, Dagim =2.24 and Boset = 2.36 t ha-1). Given the input and output prices that prevail in the selected districts, the mean revenue was 65,355.90 Birr ha-1 while the mean production cost was 26,355.52 Birr ha-1. Among production costs, labor took for the lion’s share as it contributed to 58% of the total cost. In general, with a benefit-cost ratio of 1.5, our technology is highly profitable and attractive to farmers if newly released tef varieties are disseminated in the seed-business-oriented method. &nbsp

Published
2022

8. Application of mutation breeding to the improvement of the under-studied crop tef (Eragrostis tef (Zucc.) Trotter)

Author

Tadele, Zerihun, Assefa, Kebebew, Chanyalew, Solomon, Bekele, Abate, Weichert, Annett, Schnell, Mirjam, R��ckel, Nora, Hussein, Negussu, Cannarozzi, Gina, Sivasankar, Shoba, Ellis, Noel, Jankuloski, Ljupcho, and Ingelbrecht, Ivan

Subjects
food and beverages, 580 Plants (Botany)
Abstract

Induced mutation has been playing a significant role in the improvement of diverse crop types. This led to the release of over 3200 crop varieties in over 70 countries. We implemented induced mutation on tef (Eragrostis tef (Zucc.) Trotter), one of the most important cereal crops in the Horn of Africa, especially in Ethiopia, where it is annually cultivated on over 3 million hectares of land, equivalent to 30% of the total area allocated to cereals. Although tef is extensively cultivated in Ethiopia due to its resilience to diverse environmental stresses, the productivity of the crop is very low. The Tef Improvement Project based at the University of Bern in Switzerland employs mutation breeding to tackle major constraints in tef in order to enhance crop productivity. About 12,000 EMS (ethyl methanesulfonate) mutagenized M2 families were generated from four improved tef varieties, namely ���Tsedey���, ���Dukem���, ���Kora��� and ���Dagim���. Screening for major traits of importance helped us to obtain several candidate lines, including semi-dwarf and lodging-tolerant, drought-tolerant and acid-soil-tolerant lines. Among these, the most promising ones were introgressed to locally adapted improved varieties followed by several years of testing at representative locations for traits of interest. As a result, a new variety called ���Tesfa��� with a novel and desirable combination of traits was approved for release to the farming community. This shows that the project has been actively involved in all three phases of induced mutation: mutation induction, mutation detection and mutation breeding.

Published
2021

9. The Practices of Teaching Listening Skill in EFL Classes: General Tadesse Biru Secondary School Grade Nine (9) English Language Teachers in Focus

Author

Ebissa Bekele Abate

Subjects
Government, Data collection, ComputingMilieux_COMPUTERSANDEDUCATION, Mathematics education, Validity, Context (language use), Active listening, Cognition, Psychology, Simple random sample, Focus (linguistics)
Abstract

As to the researcher’s subjective experience and observations, the teaching of listening skill in government secondary schools in Ethiopian pedagogic context seems to be neglected. For instance, it seems that English language teachers do not seriously teach this skill as compared to the other language skills. Therefore, the objective of this study was to investigate the practice of teaching listening skill in secondary schools with specific reference to General Tadese Biru Secondary School Grade 9 English language teachers. To this effect, the researcher focused on the actual practice of English language teachers in teaching listening skill in terms of employing listening strategies and sub listening skills, the extent to which English language teachers use the three stages of listening skill, and the English language teachers’ use of appropriate listening materials. Descriptive case study design involving both qualitative and quantitative research approaches was employed. Three English language teachers were selected through availability sampling technique and 78 students were selected using simple random sampling technique. Three data gathering tools: questionnaire for students, classroom observations and interview for English language teachers were used. To ensure the validity and reliability of the tools, a pilot study was conducted in selected secondary schools. The data obtained through questionnaire and classroom observations were analyzed quantitatively and qualitatively, whereas; the data obtained through interview were analyzed qualitatively. The findings of the study revealed that the English language teachers failed to employ perceptive strategies, cognitive strategies and meta-cognitive strategies well in teaching listening skill, and did not make student practice well the sub listening skills; the English language teachers employed the while listening stage to some extent, but they used the pre listening stage and the post listening stage to some extent; the English language teachers failed to use appropriate listening materials- both printed and electronic. Based on the findings, pertinent recommendations were suggested to the concerned stakeholders. DOI: 10.7176/JCSD/62-04 Publication date: October 31 st 2020

Published
2020

10. Individual and community level factors associated with anemia among children 6—59 months of age in Ethiopia: A further analysis of 2016 Ethiopia demographic and health survey

Author

Gebremeskel, Menaseb Gebrehaweria, primary, Mulugeta, Afework, additional, Bekele, Abate, additional, Lemma, Lire, additional, Gebremichael, Muzey, additional, Gebremedhin, Haftay, additional, Etsay, Berhe, additional, Tsegay, Tesfay, additional, Haileslasie, Yared, additional, Kinfe, Yohannes, additional, Gebremeskel, Fre, additional, Mezgebo, Letemichael, additional, and Shushay, Selam, additional

Published
2020
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14. Cost-benefit Analysis of New Tef (Eragrostis tef) Varieties under Lead Farmers’ Production Management in the Central Ethiopia

Author

Bekele, Abate, Chanyalew, Solomon, Damte, Tebkew, Husien, Nigussu, Genet, Yazachew, Assefa, Kebebew, Nigussie, Demeke, and Tadele, Zerihun

Abstract

አህፅሮትጤፍ ኢትዮጵያ ውስጥ በሰፊው የሚመረት የምግብ ሰብሌ ሲሆን በየዓመቱ ከሦስት ሚሉዮን ሄክታር የሚበሌጥ መሬት ይሸፈናሌ፡፡ ይህ የመሬት ስፋት ሇብርዕ እና አገዳ ሰብልች በየዓመቱ ከሚውሇው የመሬት ስፋት ውስጥ 30 በመቶ ይሆናሌ፡፡ በቆል እና ስንዴ ከመሳሰለት የብርዕ እና አገዳ ሰብልች ጋር ሲወዳዯር ጤፍ ሕይወት ባሊቸውና ሕይወት በላሊቸው ነገሮች የሚመጡ ተፅዕኖዎችን የበሇጠ የመቋቋም አቅም አሇው፡፡ የጤፍ ማሻሻያ ፕሮግራም ኢትዮጵያ ውስጥ በ1940ቹ ከተጀመረበት ጊዜ ጀምሮ 42 የሚሆኑ የተሻሻለ የጤፍ ዝርያዎች በብሔራዊ የምርምር ሥርዓቱ ተሇቀዋሌ፡፡ ሆኖም ግን ጤፍን ሇማምረት የሚወጣው ወጪ እና የሚገኘው አጠቃሊይ የምጣኔ ሀብት ጠቀሜታ በውሌ ተጠንቶ አያውቅም፡፡ ስሇሆነም ጤፍን ሇማምረት የሚከናወኑ ተግባራትን ከምጣኔ ሀብት ጠቀሜታ አንፃር ሇመገምገም በመካከሇኛው ኢትዮጵያ ባለት አራት ዋና የጤፍ አምራች ወረዳዎች (አዯአ፤ጊምቢቹ፤ሞረትና ጅሩ እና ምንጃር- ሸንኮራ) ውስጥ በሚገኙ 46 ግምባር ቀዯም አርሶ አዯሮችን ያካተተ የመስክ ጥናት ተካሂዷሌ፡፡ በቅርብ ጊዜ የተሇቀቁ ኮራ እና ቦስት የሚባለ የጤፍ ዝርያዎች በጥናቱ ተካተው ተሞክረዋሌ፡፡ ኮራ እና ቦሰትን ሇማምረት የሚያስፈሌገው የሥራ ማስኬጃ ወጪ እንዯቅዯም ተከተሊቸው በአማካይ 19,308.70 እና 18,859.27 ብር በሄክታር ነበር፡፡ ኮራን በማምረት የተገኘው ምርት በሄክታር ከ1,200.00 እስከ 2,500.00 ኪ.ግ ሲሆን አማካይ ምርቱ ዯግሞ 1,963.00 ኪ.ግ. ነበር፡፡ በተመሳሳይ መሌኩ ቦሰትን ሇማምረት የተገኘው ምርት በሄክታር ከ2,000.00 እስከ 2,800.00 ኪ.ግ ሲሆን አማካይ ምርቱ በሄክታር 2,540.00 ኪ.ግ. ነበር፡፡ ኮራ የተዘራው በተስማሚ እና በቂ ዝናብ በሚገኝበት ስነምህዳር ቢሆንም በ2008 ዓ. ም በነበርው ያሇተስተካከሇ ዝናብ ምክንያት ከቦሰት ያነሰ ምርት ሉሰጥ ችሎሌ፡፡ ኮራን በማምረት የተገኘው ትርፍ በሄክታር 22,676.43 ብር ሲሆን ቦስትን በማምርት የተገኘው ትርፍ ዯግም በሄክትር 35,721.12 ብር ነበር፡፡ ጤፍ ሇማምራት ከሚወጣው ጠቅሊሊ ወጪ ውስጥ ከፍተኛው ወጪ የዋሇው ሇሰው ጉሌበት (58%) እና ሇማዳበሪያ (22%) ነበር፡፡ ሇሰው ጉሌበት ከወጣው ወጪ ውስጥ ትሌቁን ድርሻ የወሰዯው የአጨዳ ሥራ (43%) ሲሆን የአረም ሥራ (35%) በሁሇተኛነት ይከተሊሌ፡፡ ሇአጨዳ እና ሇአረም ሥራዎች ወጪ መጨመር በሄክታር የሚወጣው ወጪ እንዯጨምር ከፍተኛ አሰተዋፅኦ ከማድረጋቸውም በሊይ ትርፋማነትንም እንዯሚቀንሱ ጥናቱ አረጋግጧሌ፡፡ ስሇሆነም ሇአጨዳ እና ሇአረም ሥራዎች የሚወጣውን የሰው ጉሌበት ወጪ ሇመቀነስ የሚረደ ቴክኖልጂዎችን ማመንጨት ወይም መፈሇግ ያስፈሌጋሌ፡፡AbstractTef [Eragrostis tef (Zucc.) Trotter] is the most important food crop in Ethiopia. It is annually cultivated on over three million hectares of land, which is equivalent to 30% of the total area allocated to cereals in the country. Compared to other cereal crops, such as wheat and maize, tef has higher tolerance to unfavorable environmental conditions, which include both biotic and abiotic stresses. Since the inception of Tef Improvement Program in Ethiopia in the late 1950s, the National Research System has released 42 improved varieties. However, cost of production and economic benefit derived from tef farming was not clearly understood. Thus, a study was carried out in the field plots of 46 lead farmers in four districts (namely, Ada’a, Gimbichu, Moretna-Jirru, and Minjar-Shenkora) where tef is the major cereal crop in order to assess the economics aspects of the tef faming venture. Two recently released tef varieties Kora and Boset were used for the study. On average, the total variable cost of production was 19,308.70 birr ha-1 for Kora and 18,859.27 birr ha-1 for Boset. Although the average grain yield was 1,963.00 kg ha-1 for Kora and 2,540.00 kg ha-1 for Boset, it ranged from 1,200 to 2,500 kg ha-1 for Kora and from 2,000 to 2,800 kg ha-1 for Boset. Kora was sown at appropriate agro-ecologies that receive better rainfall but Boset gave higher yield as a result of climate change and erratic rainfall in 2016. The average profit was 22,676.43 birr ha-1 for Kora and 35,721.12 birr ha-1 for Boset. The two highest production costs were labor (58%) and fertilizer (22%). From the total labor costs used in tef production, the lion’s share went to harvesting (43%) and weeding (35%). The study revealed that harvesting and weeding are the most critical factors to escalate cost of production, and thereby to decrease its profitability. Thus, technologies should be sought to minimize cost of labor for harvesting and for weeding in tef production.

Published
2019

15. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Gregory A Roth, Degu Abate, Kalkidan Hassen Abate, Solomon M Abay, Cristiana Abbafati, Nooshin Abbasi, Hedayat Abbastabar, Foad Abd-Allah, Jemal Abdela, Ahmed Abdelalim, Ibrahim Abdollahpour, Rizwan Suliankatchi Abdulkader, Haftom Temesgen Abebe, Molla Abebe, Zegeye Abebe, Ayenew Negesse Abejie, Semaw F Abera, Olifan Zewdie Abil, Haftom Niguse Abraha, Aklilu Roba Abrham, Laith Jamal Abu-Raddad, Manfred Mario Kokou Accrombessi, Dilaram Acharya, Abdu A Adamu, Oladimeji M Adebayo, Rufus Adesoji Adedoyin, Victor Adekanmbi, Olatunji O Adetokunboh, Beyene Meressa Adhena, Mina G Adib, Amha Admasie, Ashkan Afshin, Gina Agarwal, Kareha M Agesa, Anurag Agrawal, Sutapa Agrawal, Alireza Ahmadi, Mehdi Ahmadi, Muktar Beshir Ahmed, Sayem Ahmed, Amani Nidhal Aichour, Ibtihel Aichour, Miloud Taki Eddine Aichour, Mohammad Esmaeil Akbari, Rufus Olusola Akinyemi, Nadia Akseer, Ziyad Al-Aly, Ayman Al-Eyadhy, Rajaa M Al-Raddadi, Fares Alahdab, Khurshid Alam, Tahiya Alam, Animut Alebel, Kefyalew Addis Alene, Mehran Alijanzadeh, Reza Alizadeh-Navaei, Syed Mohamed Aljunid, Ala'a Alkerwi, François Alla, Peter Allebeck, Jordi Alonso, Khalid Altirkawi, Nelson Alvis-Guzman, Azmeraw T Amare, Leopold N Aminde, Erfan Amini, Walid Ammar, Yaw Ampem Amoako, Nahla Hamed Anber, Catalina Liliana Andrei, Sofia Androudi, Megbaru Debalkie Animut, Mina Anjomshoa, Hossein Ansari, Mustafa Geleto Ansha, Carl Abelardo T Antonio, Palwasha Anwari, Olatunde Aremu, Johan Ärnlöv, Amit Arora, Monika Arora, Al Artaman, Krishna K Aryal, Hamid Asayesh, Ephrem Tsegay Asfaw, Zerihun Ataro, Suleman Atique, Sachin R Atre, Marcel Ausloos, Euripide F G A Avokpaho, Ashish Awasthi, Beatriz Paulina Ayala Quintanilla, Yohanes Ayele, Rakesh Ayer, Peter S Azzopardi, Arefeh Babazadeh, Umar Bacha, Hamid Badali, Alaa Badawi, Ayele Geleto Bali, Katherine E Ballesteros, Maciej Banach, Kajori Banerjee, Marlena S Bannick, Joseph Adel Mattar Banoub, Miguel A Barboza, Suzanne Lyn Barker-Collo, Till Winfried Bärnighausen, Simon Barquera, Lope H Barrero, Quique Bassat, Sanjay Basu, Bernhard T Baune, Habtamu Wondifraw Baynes, Shahrzad Bazargan-Hejazi, Neeraj Bedi, Ettore Beghi, Masoud Behzadifar, Meysam Behzadifar, Yannick Béjot, Bayu Begashaw Bekele, Abate Bekele Belachew, Ezra Belay, Yihalem Abebe Belay, Michelle L Bell, Aminu K Bello, Derrick A Bennett, Isabela M Bensenor, Adam E Berman, Eduardo Bernabe, Robert S Bernstein, Gregory J Bertolacci, Mircea Beuran, Tina Beyranvand, Ashish Bhalla, Suraj Bhattarai, Soumyadeeep Bhaumik, Zulfiqar A Bhutta, Belete Biadgo, Molly H Biehl, Ali Bijani, Boris Bikbov, Ver Bilano, Nigus Bililign, Muhammad Shahdaat Bin Sayeed, Donal Bisanzio, Tuhin Biswas, Brigette F Blacker, Berrak Bora Basara, Rohan Borschmann, Cristina Bosetti, Kayvan Bozorgmehr, Oliver J Brady, Luisa C Brant, Carol Brayne, Alexandra Brazinova, Nicholas J K Breitborde, Hermann Brenner, Paul Svitil Briant, Gabrielle Britton, Traolach Brugha, Reinhard Busse, Zahid A Butt, Charlton S K H Callender, Ismael R Campos-Nonato, Julio Cesar Campuzano Rincon, Jorge Cano, Mate Car, Rosario Cárdenas, Giulia Carreras, Juan J Carrero, Austin Carter, Félix Carvalho, Carlos A Castañeda-Orjuela, Jacqueline Castillo Rivas, Chris D Castle, Clara Castro, Franz Castro, Ferrán Catalá-López, Ester Cerin, Yazan Chaiah, Jung-Chen Chang, Fiona J Charlson, Pankaj Chaturvedi, Peggy Pei-Chia Chiang, Odgerel Chimed-Ochir, Vesper Hichilombwe Chisumpa, Abdulaal Chitheer, Rajiv Chowdhury, Hanne Christensen, Devasahayam J Christopher, Sheng-Chia Chung, Flavia M Cicuttini, Liliana G Ciobanu, Massimo Cirillo, Aaron J Cohen, Leslie Trumbull Cooper, Paolo Angelo Cortesi, Monica Cortinovis, Ewerton Cousin, Benjamin C Cowie, Michael H Criqui, Elizabeth A Cromwell, Christopher Stephen Crowe, John A Crump, Matthew Cunningham, Alemneh Kabeta Daba, Abel Fekadu Dadi, Lalit Dandona, Rakhi Dandona, Anh Kim Dang, Paul I Dargan, Ahmad Daryani, Siddharth K Das, Rajat Das Gupta, José Das Neves, Tamirat Tesfaye Dasa, Aditya Prasad Dash, Adrian C Davis, Nicole Davis Weaver, Dragos Virgil Davitoiu, Kairat Davletov, Fernando Pio De La Hoz, Jan-Walter De Neve, Meaza Girma Degefa, Louisa Degenhardt, Tizta T Degfie, Selina Deiparine, Gebre Teklemariam Demoz, Balem Betsu Demtsu, Edgar Denova-Gutiérrez, Kebede Deribe, Nikolaos Dervenis, Don C Des Jarlais, Getenet Ayalew Dessie, Subhojit Dey, Samath D Dharmaratne, Daniel Dicker, Mesfin Tadese Dinberu, Eric L Ding, M Ashworth Dirac, Shirin Djalalinia, Klara Dokova, David Teye Doku, Christl A Donnelly, E Ray Dorsey, Pratik P Doshi, Dirk Douwes-Schultz, Kerrie E Doyle, Tim R Driscoll, Manisha Dubey, Eleonora Dubljanin, Eyasu Ejeta Duken, Bruce B Duncan, Andre R Duraes, Hedyeh Ebrahimi, Soheil Ebrahimpour, Dumessa Edessa, David Edvardsson, Anne Elise Eggen, Charbel El Bcheraoui, Maysaa El Sayed Zaki, Ziad El-Khatib, Hajer Elkout, Christian Lycke Ellingsen, Matthias Endres, Aman Yesuf Endries, Benjamin Er, Holly E Erskine, Babak Eshrati, Sharareh Eskandarieh, Reza Esmaeili, Alireza Esteghamati, Mahdi Fakhar, Hamed Fakhim, Mahbobeh Faramarzi, Mohammad Fareed, Farzaneh Farhadi, Carla Sofia E sá Farinha, Andre Faro, Maryam S Farvid, Farshad Farzadfar, Mohammad Hosein Farzaei, Valery L Feigin, Andrea B Feigl, Netsanet Fentahun, Seyed-Mohammad Fereshtehnejad, Eduarda Fernandes, Joao C Fernandes, Alize J Ferrari, Garumma Tolu Feyissa, Irina Filip, Samuel Finegold, Florian Fischer, Christina Fitzmaurice, Nataliya A Foigt, Kyle J Foreman, Carla Fornari, Tahvi D Frank, Takeshi Fukumoto, John E Fuller, Nancy Fullman, Thomas Fürst, João M Furtado, Neal D Futran, Silvano Gallus, Alberto L Garcia-Basteiro, Miguel A Garcia-Gordillo, William M Gardner, Abadi Kahsu Gebre, Tsegaye Tewelde Gebrehiwot, Amanuel Tesfay Gebremedhin, Bereket Gebremichael, Teklu Gebrehiwo Gebremichael, Tilayie Feto Gelano, Johanna M Geleijnse, Ricard Genova-Maleras, Yilma Chisha Dea Geramo, Peter W Gething, Kebede Embaye Gezae, Mohammad Rasoul Ghadami, Reza Ghadimi, Khalil Ghasemi Falavarjani, Maryam Ghasemi-Kasman, Mamata Ghimire, Katherine B Gibney, Paramjit Singh Gill, Tiffany K Gill, Richard F Gillum, Ibrahim Abdelmageed Ginawi, Maurice Giroud, Giorgia Giussani, Shifalika Goenka, Ellen M Goldberg, Srinivas Goli, Hector Gómez-Dantés, Philimon N Gona, Sameer Vali Gopalani, Taren M Gorman, Atsushi Goto, Alessandra C Goulart, Elena V Gnedovskaya, Ayman Grada, Giuseppe Grosso, Harish Chander Gugnani, Andre Luiz Sena Guimaraes, Yuming Guo, Prakash C Gupta, Rahul Gupta, Rajeev Gupta, Tanush Gupta, Reyna Alma Gutiérrez, Bishal Gyawali, Juanita A Haagsma, Nima Hafezi-Nejad, Tekleberhan B Hagos, Tewodros Tesfa Hailegiyorgis, Gessessew Bugssa Hailu, Arvin Haj-Mirzaian, Arya Haj-Mirzaian, Randah R Hamadeh, Samer Hamidi, Alexis J Handal, Graeme J Hankey, Hilda L Harb, Sivadasanpillai Harikrishnan, Josep Maria Haro, Mehedi Hasan, Hadi Hassankhani, Hamid Yimam Hassen, Rasmus Havmoeller, Roderick J Hay, Simon I Hay, Yihua He, Akbar Hedayatizadeh-Omran, Mohamed I Hegazy, Behzad Heibati, Mohsen Heidari, Delia Hendrie, Andualem Henok, Nathaniel J Henry, Claudiu Herteliu, Fatemeh Heydarpour, Pouria Heydarpour, Sousan Heydarpour, Desalegn Tsegaw Hibstu, Hans W Hoek, Michael K Hole, Enayatollah Homaie Rad, Praveen Hoogar, H Dean Hosgood, Seyed Mostafa Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Peter J Hotez, Damian G Hoy, Thomas Hsiao, Guoqing Hu, John J Huang, Abdullatif Husseini, Mohammedaman Mama Hussen, Susan Hutfless, Bulat Idrisov, Olayinka Stephen Ilesanmi, Usman Iqbal, Seyed Sina Naghibi Irvani, Caleb Mackay Salpeter Irvine, Nazrul Islam, Sheikh Mohammed Shariful Islam, Farhad Islami, Kathryn H Jacobsen, Leila Jahangiry, Nader Jahanmehr, Sudhir Kumar Jain, Mihajlo Jakovljevic, Moti Tolera Jalu, Spencer L James, Mehdi Javanbakht, Achala Upendra Jayatilleke, Panniyammakal Jeemon, Kathy J Jenkins, Ravi Prakash Jha, Vivekanand Jha, Catherine O Johnson, Sarah C Johnson, Jost B Jonas, Ankur Joshi, Jacek Jerzy Jozwiak, Suresh Banayya Jungari, Mikk Jürisson, Zubair Kabir, Rajendra Kadel, Amaha Kahsay, Rizwan Kalani, Manoochehr Karami, Behzad Karami Matin, André Karch, Corine Karema, Hamidreza Karimi-Sari, Amir Kasaeian, Dessalegn H Kassa, Getachew Mullu Kassa, Tesfaye Dessale Kassa, Nicholas J Kassebaum, Srinivasa Vittal Katikireddi, Anil Kaul, Zhila Kazemi, Ali Kazemi Karyani, Dhruv Satish Kazi, Adane Teshome Kefale, Peter Njenga Keiyoro, Grant Rodgers Kemp, Andre Pascal Kengne, Andre Keren, Chandrasekharan Nair Kesavachandran, Yousef Saleh Khader, Behzad Khafaei, Morteza Abdullatif Khafaie, Alireza Khajavi, Nauman Khalid, Ibrahim A Khalil, Ejaz Ahmad Khan, Muhammad Shahzeb Khan, Muhammad Ali Khan, Young-Ho Khang, Mona M Khater, Abdullah T Khoja, Ardeshir Khosravi, Mohammad Hossein Khosravi, Jagdish Khubchandani, Aliasghar A Kiadaliri, Getiye D Kibret, Zelalem Teklemariam Kidanemariam, Daniel N Kiirithio, Daniel Kim, Young-Eun Kim, Yun Jin Kim, Ruth W Kimokoti, Yohannes Kinfu, Adnan Kisa, Katarzyna Kissimova-Skarbek, Mika Kivimäki, Ann Kristin Skrindo Knudsen, Jonathan M Kocarnik, Sonali Kochhar, Yoshihiro Kokubo, Tufa Kolola, Jacek A Kopec, Parvaiz A Koul, Ai Koyanagi, Michael A Kravchenko, Kewal Krishan, Barthelemy Kuate Defo, Burcu Kucuk Bicer, G Anil Kumar, Manasi Kumar, Pushpendra Kumar, Michael J Kutz, Igor Kuzin, Hmwe Hmwe Kyu, Deepesh P Lad, Sheetal D Lad, Alessandra Lafranconi, Dharmesh Kumar Lal, Ratilal Lalloo, Tea Lallukka, Jennifer O Lam, Faris Hasan Lami, Van C Lansingh, Sonia Lansky, Heidi J Larson, Arman Latifi, Kathryn Mei-Ming Lau, Jeffrey V Lazarus, Georgy Lebedev, Paul H Lee, James Leigh, Mostafa Leili, Cheru Tesema Leshargie, Shanshan Li, Yichong Li, Juan Liang, Lee-Ling Lim, Stephen S Lim, Miteku Andualem Limenih, Shai Linn, Shiwei Liu, Yang Liu, Rakesh Lodha, Chris Lonsdale, Alan D Lopez, Stefan Lorkowski, Paulo A Lotufo, Rafael Lozano, Raimundas Lunevicius, Stefan Ma, Erlyn Rachelle King Macarayan, Mark T Mackay, Jennifer H MacLachlan, Emilie R Maddison, Fabiana Madotto, Hassan Magdy Abd El Razek, Muhammed Magdy Abd El Razek, Dhaval P Maghavani, Marek Majdan, Reza Majdzadeh, Azeem Majeed, Reza Malekzadeh, Deborah Carvalho Malta, Ana-Laura Manda, Luiz Garcia Mandarano-Filho, Helena Manguerra, Mohammad Ali Mansournia, Chabila Christopher Mapoma, Dadi Marami, Joemer C Maravilla, Wagner Marcenes, Laurie Marczak, Ashley Marks, Guy B Marks, Gabriel Martinez, Francisco Rogerlândio Martins-Melo, Ira Martopullo, Winfried März, Melvin B Marzan, Joseph R Masci, Benjamin Ballard Massenburg, Manu Raj Mathur, Prashant Mathur, Richard Matzopoulos, Pallab K Maulik, Mohsen Mazidi, Colm McAlinden, John J McGrath, Martin McKee, Brian J McMahon, Suresh Mehata, Man Mohan Mehndiratta, Ravi Mehrotra, Kala M Mehta, Varshil Mehta, Tefera C Mekonnen, Addisu Melese, Mulugeta Melku, Peter T N Memiah, Ziad A Memish, Walter Mendoza, Desalegn Tadese Mengistu, Getnet Mengistu, George A Mensah, Seid Tiku Mereta, Atte Meretoja, Tuomo J Meretoja, Tomislav Mestrovic, Haftay Berhane Mezgebe, Bartosz Miazgowski, Tomasz Miazgowski, Anoushka I Millear, Ted R Miller, Molly Katherine Miller-Petrie, G K Mini, Parvaneh Mirabi, Mojde Mirarefin, Andreea Mirica, Erkin M Mirrakhimov, Awoke Temesgen Misganaw, Habtamu Mitiku, Babak Moazen, Karzan Abdulmuhsin Mohammad, Moslem Mohammadi, Noushin Mohammadifard, Mohammed A Mohammed, Shafiu Mohammed, Viswanathan Mohan, Ali H Mokdad, Mariam Molokhia, Lorenzo Monasta, Ghobad Moradi, Maziar Moradi-Lakeh, Mehdi Moradinazar, Paula Moraga, Lidia Morawska, Ilais Moreno Velásquez, Joana Morgado-Da-Costa, Shane Douglas Morrison, Marilita M Moschos, Simin Mouodi, Seyyed Meysam Mousavi, Kindie Fentahun Muchie, Ulrich Otto Mueller, Satinath Mukhopadhyay, Kate Muller, John Everett Mumford, Jonah Musa, Kamarul Imran Musa, Ghulam Mustafa, Saravanan Muthupandian, Jean B Nachega, Gabriele Nagel, Aliya Naheed, Azin Nahvijou, Gurudatta Naik, Sanjeev Nair, Farid Najafi, Luigi Naldi, Hae Sung Nam, Vinay Nangia, Jobert Richie Nansseu, Bruno Ramos Nascimento, Gopalakrishnan Natarajan, Nahid Neamati, Ionut Negoi, Ruxandra Irina Negoi, Subas Neupane, Charles R J Newton, Frida N Ngalesoni, Josephine W Ngunjiri, Anh Quynh Nguyen, Grant Nguyen, Ha Thu Nguyen, Huong Thanh Nguyen, Long Hoang Nguyen, Minh Nguyen, Trang Huyen Nguyen, Emma Nichols, Dina Nur Anggraini Ningrum, Yirga Legesse Nirayo, Molly R Nixon, Nomonde Nolutshungu, Shuhei Nomura, Ole F Norheim, Mehdi Noroozi, Bo Norrving, Jean Jacques Noubiap, Hamid Reza Nouri, Malihe Nourollahpour Shiadeh, Mohammad Reza Nowroozi, Peter S Nyasulu, Christopher M Odell, Richard Ofori-Asenso, Felix Akpojene Ogbo, In-Hwan Oh, Olanrewaju Oladimeji, Andrew T Olagunju, Pedro R Olivares, Helen Elizabeth Olsen, Bolajoko Olubukunola Olusanya, Jacob Olusegun Olusanya, Kanyin L Ong, Sok King Sk Ong, Eyal Oren, Heather M Orpana, Alberto Ortiz, Justin R Ortiz, Stanislav S Otstavnov, Simon Øverland, Mayowa Ojo Owolabi, Raziye Özdemir, Mahesh P A, Rosana Pacella, Smita Pakhale, Abhijit P Pakhare, Amir H Pakpour, Adrian Pana, Songhomitra Panda-Jonas, Jeyaraj Durai Pandian, Andrea Parisi, Eun-Kee Park, Charles D H Parry, Hadi Parsian, Shanti Patel, Sanghamitra Pati, George C Patton, Vishnupriya Rao Paturi, Katherine R Paulson, Alexandre Pereira, David M Pereira, Norberto Perico, Konrad Pesudovs, Max Petzold, Michael R Phillips, Frédéric B Piel, David M Pigott, Julian David Pillay, Meghdad Pirsaheb, Farhad Pishgar, Suzanne Polinder, Maarten J Postma, Akram Pourshams, Hossein Poustchi, Ashwini Pujar, Swayam Prakash, Narayan Prasad, Caroline A Purcell, Mostafa Qorbani, Hedley Quintana, D Alex Quistberg, Kirankumar Waman Rade, Amir Radfar, Anwar Rafay, Alireza Rafiei, Fakher Rahim, Kazem Rahimi, Afarin Rahimi-Movaghar, Mahfuzar Rahman, Mohammad Hifz Ur Rahman, Muhammad Aziz Rahman, Rajesh Kumar Rai, Sasa Rajsic, Usha Ram, Chhabi Lal Ranabhat, Prabhat Ranjan, Puja C Rao, David Laith Rawaf, Salman Rawaf, Christian Razo-García, K Srinath Reddy, Robert C Reiner, Marissa B Reitsma, Giuseppe Remuzzi, Andre M N Renzaho, Serge Resnikoff, Satar Rezaei, Shahab Rezaeian, Mohammad Sadegh Rezai, Seyed Mohammad Riahi, Antonio Luiz P Ribeiro, Maria Jesus Rios-Blancas, Kedir Teji Roba, Nicholas L S Roberts, Stephen R Robinson, Leonardo Roever, Luca Ronfani, Gholamreza Roshandel, Ali Rostami, Dietrich Rothenbacher, Ambuj Roy, Enrico Rubagotti, Perminder S Sachdev, Basema Saddik, Ehsan Sadeghi, Hosein Safari, Mahdi Safdarian, Sare Safi, Saeid Safiri, Rajesh Sagar, Amirhossein Sahebkar, Mohammad Ali Sahraian, Nasir Salam, Joseph S Salama, Payman Salamati, Raphael De Freitas Saldanha, Zikria Saleem, Yahya Salimi, Sundeep Santosh Salvi, Inbal Salz, Evanson Zondani Sambala, Abdallah M Samy, Juan Sanabria, Maria Dolores Sanchez-Niño, Damian Francesco Santomauro, Itamar S Santos, João Vasco Santos, Milena M Santric Milicevic, Bruno Piassi Sao Jose, Abdur Razzaque Sarker, Rodrigo Sarmiento-Suárez, Nizal Sarrafzadegan, Benn Sartorius, Shahabeddin Sarvi, Brijesh Sathian, Maheswar Satpathy, Arundhati R Sawant, Monika Sawhney, Sonia Saxena, Mehdi Sayyah, Elke Schaeffner, Maria Inês Schmidt, Ione J C Schneider, Ben Schöttker, Aletta Elisabeth Schutte, David C Schwebel, Falk Schwendicke, James G Scott, Mario Sekerija, Sadaf G Sepanlou, Edson Serván-Mori, Seyedmojtaba Seyedmousavi, Hosein Shabaninejad, Katya Anne Shackelford, Azadeh Shafieesabet, Mehdi Shahbazi, Amira A Shaheen, Masood Ali Shaikh, Mehran Shams-Beyranvand, Mohammadbagher Shamsi, Morteza Shamsizadeh, Kiomars Sharafi, Mehdi Sharif, Mahdi Sharif-Alhoseini, Rajesh Sharma, Jun She, Aziz Sheikh, Peilin Shi, Mekonnen Sisay Shiferaw, Mika Shigematsu, Rahman Shiri, Reza Shirkoohi, Ivy Shiue, Farhad Shokraneh, Mark G Shrime, Si Si, Soraya Siabani, Tariq J Siddiqi, Inga Dora Sigfusdottir, Rannveig Sigurvinsdottir, Donald H Silberberg, Diego Augusto Santos Silva, João Pedro Silva, Natacha Torres Da Silva, Dayane Gabriele Alves Silveira, Jasvinder A Singh, Narinder Pal Singh, Prashant Kumar Singh, Virendra Singh, Dhirendra Narain Sinha, Karen Sliwa, Mari Smith, Badr Hasan Sobaih, Soheila Sobhani, Eugène Sobngwi, Samir S Soneji, Moslem Soofi, Reed J D Sorensen, Joan B Soriano, Ireneous N Soyiri, Luciano A Sposato, Chandrashekhar T Sreeramareddy, Vinay Srinivasan, Jeffrey D Stanaway, Vladimir I Starodubov, Vasiliki Stathopoulou, Dan J Stein, Caitlyn Steiner, Leo G Stewart, Mark A Stokes, Michelle L Subart, Agus Sudaryanto, Mu'awiyyah Babale Sufiyan, Patrick John Sur, Ipsita Sutradhar, Bryan L Sykes, P N Sylaja, Dillon O Sylte, Cassandra E I Szoeke, Rafael Tabarés-Seisdedos, Takahiro Tabuchi, Santosh Kumar Tadakamadla, Ken Takahashi, Nikhil Tandon, Segen Gebremeskel Tassew, Nuno Taveira, Arash Tehrani-Banihashemi, Tigist Gashaw Tekalign, Merhawi Gebremedhin Tekle, Mohamad-Hani Temsah, Omar Temsah, Abdullah Sulieman Terkawi, Manaye Yihune Teshale, Belay Tessema, Gizachew Assefa Tessema, Kavumpurathu Raman Thankappan, Sathish Thirunavukkarasu, Nihal Thomas, Amanda G Thrift, George D Thurston, Binyam Tilahun, Quyen G To, Ruoyan Tobe-Gai, Marcello Tonelli, Roman Topor-Madry, Anna E Torre, Miguel Tortajada-Girbés, Mathilde Touvier, Marcos Roberto Tovani-Palone, Bach Xuan Tran, Khanh Bao Tran, Suryakant Tripathi, Christopher E Troeger, Thomas Clement Truelsen, Nu Thi Truong, Afewerki Gebremeskel Tsadik, Derrick Tsoi, Lorainne Tudor Car, E Murat Tuzcu, Stefanos Tyrovolas, Kingsley N Ukwaja, Irfan Ullah, Eduardo A Undurraga, Rachel L Updike, Muhammad Shariq Usman, Olalekan A Uthman, Selen Begüm Uzun, Muthiah Vaduganathan, Afsane Vaezi, Gaurang Vaidya, Pascual R Valdez, Elena Varavikova, Tommi Juhani Vasankari, Narayanaswamy Venketasubramanian, Santos Villafaina, Francesco S Violante, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Stein Emil Vollset, Theo Vos, Gregory R Wagner, Fasil Shiferaw Wagnew, Yasir Waheed, Mitchell Taylor Wallin, Judd L Walson, Yanping Wang, Yuan-Pang Wang, Molla Mesele Wassie, Elisabete Weiderpass, Robert G Weintraub, Fitsum Weldegebreal, Kidu Gidey Weldegwergs, Andrea Werdecker, Adhena Ayaliew Werkneh, T Eoin West, Ronny Westerman, Harvey A Whiteford, Justyna Widecka, Lauren B Wilner, Shadrach Wilson, Andrea Sylvia Winkler, Charles Shey Wiysonge, Charles D A Wolfe, Shouling Wu, Yun-Chun Wu, Grant M A Wyper, Denis Xavier, Gelin Xu, Simon Yadgir, Ali Yadollahpour, Seyed Hossein Yahyazadeh Jabbari, Bereket Yakob, Lijing L Yan, Yuichiro Yano, Mehdi Yaseri, Yasin Jemal Yasin, Gökalp Kadri Yentür, Alex Yeshaneh, Ebrahim M Yimer, Paul Yip, Biruck Desalegn Yirsaw, Engida Yisma, Naohiro Yonemoto, Gerald Yonga, Seok-Jun Yoon, Marcel Yotebieng, Mustafa Z Younis, Mahmoud Yousefifard, Chuanhua Yu, Vesna Zadnik, Zoubida Zaidi, Sojib Bin Zaman, Mohammad Zamani, Zohreh Zare, Ayalew Jejaw Zeleke, Zerihun Menlkalew Zenebe, Anthony Lin Zhang, Kai Zhang, Maigeng Zhou, Sanjay Zodpey, Liesl Joanna Zuhlke, Mohsen Naghavi, and Christopher J L Murray., Rubagotti, Enrico, Abay, Solomon M., Roth, Gregory, Abd Allah, Foad, Abdela, Jemal, Abbastabar, Hedayat, and Abbasi, Nooshin

Subjects
Overview, Disease, Territory, Causes of death, humanities
Abstract

Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. The Lancet Publishing Group

Published
2019

16. Tef (Eragrostis tef) Variety ‘Tesfa’

Author

Kebede, Worku, Tolossa, Kidist, Hussein, Nigussu, Genet, Tsion, Bekele, Abate, Gebremeskel, Kidu, Fentahun, Atinkut, Jifar, Habte, Wüthrich, Sonia Plaza, Chanyalew, Solomon, Assefa, Kebebew, Tadele, Zerihun, and Blösch, Regula

Abstract

አህፅሮት ጤፍ በኢትዮጵያ ከሚመረቱ የብርዕና አገዳ ሰብሎች ዋናው ሲሆን በየዓመቱ ቁጥር ከ6.5 ሚሊዮን የማያንስ አርሶ አደር ያመርተዋል፡፡ ይህም አጠቃላይ በብርዕና አገዳ ሰብሎች ከሚሸፈነው ማሳ 30% ድርሻ አለው፡፡ ይሁን እንጂ ከሌሎች ሰብሎች ጋር ሲነፃፀር ምርታማነቱ አነስተኛ ነው፡፡ ለዚህም ምክንያቱ በከፊል አርሶ አደሩ ያልተሻሻሉ የአካባቢ ዝርያዎችን በመጠቀሙና፣ የሰብሉ ተፈጥሯዊ የመጋሸብ ባህሪ ናቸው፡፡ የዚህ ጥናት ዓላማ በተለየ ምርምር አሰራር የተገኘን የጤፍ ዝርያን በመፈተሸ የተሻለ ምርት፤ የአገዳ ጥንካሬን አንዲሁም የዘር ቀለም ያለውና በአርሶ አደሩ ተመራጭ ዝርያ ማፍለቅ ነበር፡፡ በጥናቱ በቅርቡ የተለቀቀ አንድ ዝርያና አንድ የአካባቢ ዝርያን ጨምሮ 10 የተለያዩ የጤፍ አይነቴዎችን በማካተት በስድስት ወካይ ጤፍ አብቃይ ቦታዎች ላይ ተፈትሸው ተስፋ (ደዘ-ክሮስ-457) ተብሎ የተሰየመውና የተለያዩ የጤፍ አይነቴዎች ተዳቅለው የተገኘው ዝርያ ከሌሎች ማወዳደሪያ ተፈታሽ ዝርያዎች የተሻለ ውጤት በማስመዝገቡ በብሄራዊ የዝርያ አፅዳቂ ኮሚቴ ተገምግሞ ለምርት እንዲለቀቅ ተወስኗል፡፡ ይህ ዝርያ ከሌሎች ዝርያዎች በንፅፅር መጋሸብን በመቋቋሙ፤ የተሻለ ምርት በመስጠቱ በአርሶአደሩ ተፈላጊ ከመሆኑም በሻገር ከዝርያው ባህሪ የተነሳ ለመስኖ እርሻና በሰብል መድረሻ ጊዜ የማጨጃ የእርሻ መሳሪያ መጠቀም ያስችላል፡፡ Abstract Tef [Eragrostis tef (Zucc.) Trotter] is extensively cultivated cereal crop in Ethiopia where it is annually grown by about 6.5 million smallholder farmers on about 30% of the total area allocated to cereal crops.However, the productivity of tef is very low compared to other cereals mainly due to lack of high yielding and lodging tolerant cultivars. The objective of this study was to evaluate the performance of the recently released tef variety called Tesfaand to provide unique morphological and agronomic descriptions of this new variety. Ten genotypes which were derived from three independent crosses and bred for at least eight generations plus a local and standard check varieties were tested at six tef growing sites in Ethiopia (namely, Adet, Chafe Donsa,DebreZeit black soil, DebreZeit light soil,Ginchiand Holetta) using RandomizedCompleteBlock Design with three replications. The study found that Tesfa(DZ-Cr-457 RIL-181) which was obtained from a cross between kinde (a semi-dwarf mutant line developed at the University of Bern, Switzerland) and Kay Murri(a landrace) outperformed other genotypes and approved for release by the Ethiopian National Variety Release Committee in March 2017.The main advantages of Tesfa over other tested lines were its higher grain yield and higher lodging tolerance. In addition, Tesfa possesses unique properties for which high acceptance by growers is expected. These are its compact panicle, lack of shattering, and thick and strong culm which makes it potentially cultivated under irrigation and also mechanically harvested.

Published
2018

17. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Author

Nancy, Fullman, Jamal, Yearwood, Solomon, M, Abay, Cristiana, Abbafati, Foad, Abd-Allah, Jemal, Abdela, Ahmed, Abdelalim, Zegeye, Abebe, Teshome, Abuka, Abebo, Victor, Aboyans, Haftom, Niguse, Abraha, Daisy, M, X, Abreu, Laith, Abu-Raddad, J, Akilew, Awoke, Adane, Rufus, Adesoji, Adedoyin, Olatunji, Adetokunboh, Tara, Ballav, Adhikari, Mohsen, Afarideh, Ashkan, Afshin, Gina, Agarwal, Dominic, Agius, Anurag, Agrawal, Sutapa, Agrawal, Aliasghar, Ahmad, Kiadaliri, Miloud, Taki, Eddine, Aichour, Mohammed, Akibu, Rufus, Olusola, Akinyemi, Tomi, Akinyemiju, F, Nadia, Akseer, Faris, Hasan, Lami, Al, Fares, Alahdab, Ziyad, Al-Aly, Khurshid, Alam, Tahiya, Alam, Deena, Alasfoor, Mohammed, I, Albittar, Kefyalew, Addis, Alene, Ayman, Al-Eyadhy, Syed, Danish, Ali, Mehran, Alijanzadeh, Syed, M, Aljunid, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Mahmoud, A, Alomari, Rajaa, Al-Raddadi, Ubai, Alsharif, Khalid, A, Altirkawi, Nelson, Alvis-Guzman, Azmeraw, T, Amare, Kebede, Amenu, Walid, Ammar, Yaw, Ampem, Amoako, Nahla, Anber, Catalina, Liliana, Andrei, Sofia, Androudi, Carl, Abelardo, Antonio, T, Valdelaine, E, Araújo, M, Olatunde, Aremu, Johan, Ärnlöv, Artaman, Al, Krishna, Kumar, Aryal, Hamid, Asayesh, Ephrem, Tsegay, Asfaw, Solomon, Weldegebreal, Asgedom, Rana, Jawad, Asghar, Mengistu, Mitiku, Ashebir, Netsanet, Abera, Asseffa, Tesfay, Mehari, Atey, Sachin, R, Atre, Madhu, Atteraya, S, Leticia, Avila-Burgos, Euripide, Frinel, Arthur, G, Avokpaho, Ashish, Awasthi, Beatriz, Paulina, Ayala, Quintanilla, Animut, Alebel, Ayalew, Henok, Tadesse, Ayele, Rakesh, Ayer, Tambe, Betrand, Ayuk, Peter, Azzopardi, Natasha, Azzopardi-Muscat, Tesleem, Kayode, Babalola, Hamid, Badali, Alaa, Badawi, Maciej, Banach, Amitava, Banerjee, Amrit, Banstola, Ryan, M, Barber, Miguel, Barboza, A, Suzanne, L, Barker-Collo, Till, Bärnighausen, Simon, Barquera, Lope, H, Barrero, Quique, Bassat, Sanjay, Basu, Bernhard, T, Baune, Shahrzad, Bazargan-Hejazi, Neeraj, Bedi, Ettore, Beghi, Masoud, Behzadifar, Meysam, Behzadifar, Bayu, Begashaw, Bekele, Abate, Bekele, Belachew, Saba, Abraham, Belay, Yihalem, Abebe, Belay, Michelle, L, Bell, Aminu, Bello, K, Derrick, A, Bennett, James, Bennett, R, Isabela, M, Bensenor, Derbew, Fikadu, Berhe, Eduardo, Bernabé, Robert, Steven, Bernstein, Mircea, Beuran, Ashish, Bhalla, Paurvi, Bhatt, Soumyadeep, Bhaumik, Zulfiqar, A, Bhutta, Belete, Biadgo, Ali, Bijani, Boris, Bikbov, Charles, Birungi, Stan, Biryukov, Hailemichael, Bizuneh, Ian, W, Bolliger, Kaylin, Bolt, Ibrahim, R, Bou-Orm, Kayvan, Bozorgmehr, Oliver, Jerome, Brady, Alexandra, Brazinova, Nicholas, J, Breitborde, K, Hermann, Brenner, Gabrielle, Britton, Traolach, S, Brugha, Zahid, Butt, A, Lucero, Cahuana-Hurtado, Ismael, Ricardo, Campos-Nonato, Julio, Cesar, Campuzano, Josip, Car, Mate, Car, Rosario, Cárdenas, Juan, Jesus, Carrero, Felix, Carvalho, Carlos, A, Castañeda-Orjuela, Jacqueline, Castillo, Rivas, Ferrán, Catalá-López, Kelly, Cercy, Julian, Chalek, 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Dean, Hosseini, Mostafa, Hosseini, Seyed Reza, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Iburg, Kim Moesgaard, Idris, Fachmi, Igumbor, Ehimario Uche, Ikeda, Chad, Ileanu, Bogdan Vasile, Ilesanmi, Olayinka S., Innos, Kaire, Irvani, Seyed Sina Naghibi, Irvine, Caleb M.S., Islami, Farhad, Jacobs, Troy A., Jacobsen, Kathryn H., Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo M., Jalu, Moti Tolera, Jamal, Amr A., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Józwiak, Jacek, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Joshua, Vasna, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kar, Chittaranjan, Karanikolos, Marina, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn Haile, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodger, Kengne, Andre Pascal, Kereselidze, Maia, Ketema, Ezra Belay, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Muhammad Ali, Khanal, Mukti Nath, Khang, Young-Ho, Khater, Mona M., Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kibret, Getiye Dejenu, Kiirithio, Daniel Ngari, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kinra, Sanjay, Kisa, Adnan, Kissoon, Niranjan, Kochhar, Sonali, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krishan, Kewal, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kumar, G. Anil, Kumar, Pushpendra, Kutz, Michael, Kuzin, Igor, Kyu, Hmwe H., Lad, Deepesh Pravinkumar, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lan, Qing, Lang, Justin J., Lansingh, Van C., Lansky, Sonia, Larsson, Ander, Latifi, Arman, Lazarus, Jeffrey Victor, Leasher, Janet L., Lee, Paul H., Legesse, Yirga, Leigh, Jame, Leshargie, Cheru Tesema, Leta, Samson, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liang, Juan, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S., Lind, Margaret, Linn, Shai, Listl, Stefan, Liu, Patrick Y., Liu, Shiwei, Lodha, Rakesh, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lucas, Timothy C.D., Lunevicius, Raimunda, Lurton, Grégoire, Lyons, Ronan A., Maalouf, Fadi, Macarayan, Erlyn Rachelle King, Mackay, Mark T., Maddison, Emilie R., Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A., Manguerra, Helena, Manhertz, Treh, Mansournia, Mohammad Ali, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Margono, Christopher, Martinez-Raga, Jose, Martins, Sheila Cristina Ourique, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Meier, Toni, Mejia-Rodriguez, Fabiola, Meles, Kidanu Gebremariam, Melku, Mulugeta, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengiste, Degu Abate, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Miazgowski, Tomasz, Micha, Renata, Milam, Robert, Millear, Anoushka, Miller, Ted R., Mini, G.K., Minnig, Shawn, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke, Mitchell, Philip B., Mlashu, Fitsum Weldegebreal, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammadibakhsh, Roghayeh, Mohammed, Ebrahim, Mohammed, Mohammed A., Mohammed, Shafiu, Mokdad, Ali H., Mola, Glen Liddell D., Molokhia, Mariam, Momeniha, Fatemeh, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Moosazadeh, Mahmood, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreno Velasquez, Ilai, Mori, Rintaro, Morrison, Shane D., Moses, Mark, Mousavi, Seyyed Meysam, Mueller, Ulrich O., Murhekar, Manoj, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta A., Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nangia, Vinay, Nansseu, Jobert Richie Njingang, Narayan, K.M. Venkat, Nascimento, Bruno Ramo, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles R., Ngunjiri, Josephine Wanjiku, Nguyen, Grant, Nguyen, Long, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nolte, Ellen, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N., Nyandwi, Alypio, Obermeyer, Carla Makhlouf, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olivares, Pedro R., De Oliveira, Patricia Pereira Vasconcelo, Olsen, Helen E., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortega-Altamirano, Doris V., Ortiz, Alberto, Ozdemir, Raziye, Pa, Mahesh, Pain, Amanda W., Palone, Marcos Roberto Tovani, Pana, Adrian, Panda-Jonas, Songhomitra, Pandian, Jeyaraj D., Park, Eun-Kee, Parsian, Hadi, Patel, Teja, Pati, Sanghamitra, Patil, Snehal T., Patle, Ajay, Patton, George C., Paturi, Vishnupriya Rao, Paudel, Deepak, De Moares Pedroso, Marcel, Pedroza, Sandra P., Pereira, David M., Perico, Norberto, Peterson, Hannah, Petzold, Max, Peykari, Niloofar, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pillay, Julian David, Piradov, Michael A., Polinder, Suzanne, Pond, Constance D., Postma, Maarten J., Pourmalek, Farshad, Prakash, Swayam, Prakash, V., Prasad, Narayan, Prasad, Noela Marie, Purcell, Caroline, Qorbani, Mostafa, Quintana, Hedley Knewjen, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Raju, Sree Bhushan, Ram, Usha, Rana, Saleem M., Rankin, Zane, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E., Razo-García, Christian Aspacia, Reddy, Priscilla, Reiner, Robert C., Reis, Cesar, Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rios Blancas, Maria Jesu, Rivera, Juan A., Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Roy, Nobhojit, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafi, Safdarian, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salama, Joseph, Salamati, Payman, De Freitas Saldanha, Raphael, Salimzadeh, Hamideh, Salomon, Joshua A., Samy, Abdallah M., Sanabria, Juan Ramon, Sancheti, Parag K., Sanchez-Niño, Maria Dolore, Santomauro, Damian, Santos, Itamar S., Santric Milicevic, Milena M., Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schaeffner, Elke, Schmidhuber, Josef, Schmidt, Maria Inê, Schneider, Ione J.C., Schumacher, Austin E., Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Sekerija, Mario, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shams-Beyranvand, Mehran, Sharafi, Heidar, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shfare, Mebrahtu Teweldemedhin, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shrime, Mark G., Shukla, Sharvari Rahul, Siabani, Soraya, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singh, Jasvinder A., Singh, Lavanya, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sinke, Abiy Hiruye, Sisay, Mekonnen, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Soares Filho, Adauto Martin, Sobaih, Badr H.A., Somai, Melek, Soneji, Samir, Soofi, Moslem, Sorensen, Reed J.D., Soriano, Joan B., Soyiri, Ireneous N., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stanaway, Jeffrey D., 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Updike, Rachel, Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Valdez, Pascual Rubén, Van Boven, Job F.M., Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S., Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagnew, Fasil, Waheed, Yasir, Wallin, Mitchell T., Walson, Judd L., Wang, Yafeng, Wang, Yuan-Pang, Wassie, Molla Mesele, Weaver, Marcia R., Weiderpass, Elisabete, Weintraub, Robert G., Weiss, Jordan, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T. Eoin, Westerman, Ronny, White, Richard G., Whiteford, Harvey A., Widecka, Justyna, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D.A., Wondimkun, Yohanes Ayele, Workicho, Abdulhalik, Wyper, Grant M.A., Xavier, Deni, Xu, Gelin, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Yimer, Nigus Bililign, Yin, Peng, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yonga, Gerald, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zaman, Sojib Bin, Zamani, Mohammad, Zenebe, Zerihun Menlkalew, Zhou, Maigeng, Zhu, Jun, Zimsen, Stephanie R.M., Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Murray, Christopher J.L., Lozano, Rafael, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Abay, Sm, Abebo, Ta, Abraha, Hn, Abreu, Dmx, Abu-Raddad, Lj, Adane, Aa, Adedoyin, Ra, Adhikari, Tb, Aichour, Mte, Akinyemi, Ro, Akinyemiju, Tf, Al Lami, Fh, Albittar, Mi, Alene, Ka, Ali, Sd, Aljunid, Sm, Alomari, Ma, Altirkawi, Ka, Amare, At, Amoako, Ya, Andrei, Cl, Antonio, Cat, Araújo, Vem, Aryal, Kk, Asfaw, Et, Asgedom, Sw, Asghar, Rj, Ashebir, Mm, Asseffa, Na, Atey, Tm, Atre, Sr, Avokpaho, Efga, Ayala Quintanilla, Bp, Ayalew, Aa, Ayele, Ht, Ayuk, Tb, Babalola, Tk, Barber, Rm, Barboza, Ma, Barker-Collo, Sl, Barrero, Lh, Baune, Bt, Bekele, Bb, Belachew, Ab, Belay, Sa, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bennett, Jr, Bensenor, Im, Berhe, Df, Bhutta, Za, Bolliger, Iw, Bou-Orm, Ir, Brady, Oj, Breitborde, Njk, Butt, Za, Campos-Nonato, Ir, Campuzano, Jc, Carrero, Jj, Castañeda-Orjuela, Ca, Chang, Hy, Chang, Jc, Chiang, Pp, Chisumpa, Vh, Choi, Jj, Christopher, Dj, Chung, Sc, Ciobanu, Lg, Cortesi, Pa, Criqui, Mh, Cromwell, Ea, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dargan, Pi, Das, Sk, De Neve, Jw, Dellavalle, Rp, Des Jarlais, Dc, Dharmaratne, Sd, Doku, Dt, Dorsey, Er, Dos Santos, Kpb, Doyle, Ke, Driscoll, Tr, Duncan, Bb, Ehrlich, Jr, El-Khatib, Zz, Endries, Ay, Faraon, Eja, Feigin, Vl, Feigl, Ab, Fereshtehnejad, Sm, Fernandes, Jc, Fijabi, Do, Flaxman, Ad, Foreman, Kj, Frostad, Jj, Futran, Nd, Gebre, Ak, Gebrehiwot, Tt, Gebremedhin, At, Gelaw, Ya, Geleijnse, Jm, Gething, Pw, Giref, Az, Gishu, Md, Godwin, Ww, Gona, Pn, Gopalani, Sv, Goulart, Ac, Gugnani, Hc, Haagsma, Ja, Hailu, Gb, Hamadeh, Rr, Hankey, Gj, Harb, Hl, Harewood, Hc, Haro, Jm, Hassen, Hy, Hay, Si, Hearps, Sjc, Hegazy, Mi, Henry, Nj, Herrera Ballesteros, Vh, Hibstu, Dt, Hiluf, Mk, Hoek, Hw, Hosgood, Hd, Hosseini, Sr, Hoy, Dg, Huang, Jj, Iburg, Km, Igumbor, Eu, Ileanu, Bv, Irvani, Ssn, Irvine, Cm, Jacobs, Ta, Jacobsen, Kh, Jain, Sk, Jakovljevic, Mb, Jalu, Mt, Jamal, Aa, Jayatilleke, Au, Jha, Rp, Johnson, Sc, Jonas, Jb, Karema, Ck, Karimi, Sm, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Ketema, Eb, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Mn, Khan, Ma, Khanal, Mn, Khang, Yh, Khater, Mm, Khoja, Ata, Kibret, Gd, Kiirithio, Dn, Kim, Yj, Kimokoti, Rw, Kopec, Ja, Koul, Pa, Krohn, Kj, Kumar, Ga, Kyu, Hh, Lad, Dp, Lal, Dk, Lang, Jj, Lansingh, Vc, Lazarus, Jv, Leasher, Jl, Lee, Ph, Leshargie, Ct, Liben, Ml, Lim, Ll, Lopez, Ad, Lorch, Sa, Lotufo, Pa, Lucas, Tcd, Lyons, Ra, Macarayan, Erk, Mackay, Mt, Maddison, Er, Malta, Dc, Mamun, Aa, Mansournia, Ma, Mantovani, Lg, Mapoma, Cc, Martins, Sco, Martins-Melo, Fr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehta, Km, Meles, Kg, Memish, Za, Mengiste, Da, Mengistu, Dt, Menota, Bg, Mensah, Ga, Meretoja, Tj, Mezgebe, Hb, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Mitchell, Pb, Mlashu, Fw, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Mola, Gl, Montañez Hernandez, Jc, Morrison, Sd, Mousavi, Sm, Mueller, Uo, Murthy, Gv, Musa, Ki, Naik, Ga, Nansseu, Jrn, Narayan, Kv, Nascimento, Br, Negoi, Ri, Newton, Cr, Ngunjiri, Jw, Nguyen, Th, Ningrum, Dna, Nong, Vm, Norheim, Of, Noubiap, Jjn, Obermeyer, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Oliveira, Ppv, Olsen, He, Olusanya, Bo, Olusanya, Jo, Opio, Jn, Ortega-Altamirano, Dv, Pain, Aw, Palone, Mrt, Pandian, Jd, Park, Ek, Patil, St, Patton, Gc, Paturi, Vr, Pedroso, Mm, Pedroza, Sp, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Piradov, Ma, Pond, Cd, Postma, Mj, Prasad, Nm, Quintana, Hk, Rahman, Ma, Rahman, Su, Rai, Rk, Raju, Sb, Rana, Sm, Rawaf, Dl, Ray, Se, Razo-García, Ca, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Ribeiro, Al, Rios Blancas, Mj, Rivera, Ja, Roth, Ga, Ruhago, Gm, Sabde, Yd, Sahraian, Ma, Saldanha, Rf, Salomon, Ja, Samy, Am, Sanabria, Jr, Sancheti, Pk, Sanchez-Niño, Md, Santric Milicevic, Mm, Sarker, Ar, Saylan, Mi, Schmidt, Mi, Schneider, Ijc, Schumacher, Ae, Schutte, Ae, Schwebel, Dc, Sepanlou, Sg, Servan-Mori, Ee, Shaikh, Ma, Shariful Islam, Sm, Shfare, Mt, Shrime, Mg, Shukla, Sr, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silveira, Dga, Singh, Ja, Singh, Np, Sinha, Dn, Sinke, Ah, Soares Filho, Am, Sobaih, Bha, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Stein, Dj, Stokes, Ma, Sufiyan, Mb, Suliankatchi, Ra, Sunguya, Bf, Sur, Pj, Sykes, Bl, Sylaja, Pn, Tadakamadla, Sk, Tadesse, Ah, Taffere, Gr, Tariku, At, Temsah, Mh, Tesema, Ag, Tesfaye, Dj, Thompson, Mj, To, Qg, Tran, Bx, Tran, Kb, Tripathy, Sp, Tuem, Kb, Ukwaja, Kn, Uthman, Oa, Uzochukwu, Bsc, Valdez, Pr, van Boven, Jfm, Vladimirov, Sk, Vlassov, Vv, Vollset, Se, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weaver, Mr, Weintraub, Rg, Weldegwergs, Kg, West, Te, White, Rg, Whiteford, Ha, Wolfe, Cd, Wondimkun, Ya, Wyper, Gma, Yan, Ll, Yimer, Nb, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaki, Me, Zaman, Sb, Zenebe, Zm, Zimsen, Srm, Zuhlke, Lj, Murray, Cjl, and Lozano, R.

Subjects
Peformance, Coverage, Dánartíðni, Lífslíkur, Life expectancy, GBD, Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0–100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best), universal health coverage, Article, access quality health care, health care access and quality index, Nations, Healthcare Acce, Cause-specific mortality, Psychology, Healthcare Access and Quality Index, Mælitæki, States, Medicine (all), Health care, Þjóðir, Public Health, Global Health, Social Medicine and Epidemiology, Quality, Heilbrigðisþjónusta, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Sálfræði, Indicator, Amenable mortality, Transition, we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0–100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8–98·1) in Iceland, followed by 96·6 (94·9–97·9) in Norway and 96·1 (94·5–97·3) in the Netherlands, to values as low as 18·6 (13·1–24·4) in the Central African Republic, 19·0 (14·3–23·7) in Somalia, and 23·4 (20·2–26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1–93·6) in Beijing to 48·0 (43·4–53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6–68·8) in Goa to 34·0 (30·3–38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view—and subsequent provision—of quality health care for all populations, Trends, Inequalities
Abstract

Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97.1 (95% UI 95.8-98.1) in Iceland, followed by 96.6 (94.9-97.9) in Norway and 96.1 (94.5-97.3) in the Netherlands, to values as low as 18.6 (13.1-24.4) in the Central African Republic, 19.0 (14.3-23.7) in Somalia, and 23.4 (20.2-26.8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91.5 (89.1-936) in Beijing to 48.0 (43.4-53.2) in Tibet (a 43.5-point difference), while India saw a 30.8-point disparity, from 64.8 (59.6-68.8) in Goa to 34.0 (30.3-38.1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4.8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20.9-point to 17.0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17.2-point to 20.4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view and subsequent provision of quality health care for all populations., Bill & Melinda Gates Foundation. Barbora de Courten is supported by a National Heart Foundation Future Leader Fellowship (100864). Ai Koyanagi’s work is supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII —General Branch Evaluation and Promotion of Health Research—and the European Regional Development Fund (ERDF-FEDER). Alberto Ortiz was supported by Spanish Government (Instituto de Salud Carlos III RETIC REDINREN RD16/0019 FEDER funds). Ashish Awasthi acknowledges funding support from Department of Science and Technology, Government of India through INSPIRE Faculty scheme Boris Bikbov has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Boris Bikbov acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Panniyammakal Jeemon acknowledges support from the clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015–20). Job F M van Boven was supported by the Department of Clinical Pharmacy & Pharmacology of the University Medical Center Groningen, University of Groningen, Netherlands. Olanrewaju Oladimeji is an African Research Fellow hosted by Human Sciences Research Council (HSRC), South Africa and he also has honorary affiliations with Walter Sisulu University (WSU), Eastern Cape, South Africa and School of Public Health, University of Namibia (UNAM), Namibia. He is indeed grateful for support from HSRC, WSU and UNAM. EUI is supported in part by the South African National Research Foundation (NRF UID: 86003). Ulrich Mueller acknowledges funding by the German National Cohort Study grant No 01ER1511/D, Gabrielle B Britton is supported by Secretaría Nacional de Ciencia, Tecnología e Innovación and Sistema Nacional de Investigación de Panamá. Giuseppe Remuzzi acknowledges that the work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Behzad Heibati would like to acknowledge Air pollution Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Syed Aljunid acknowledges the National University of Malaysia for providing the approval to participate in this GBD Project. Azeem Majeed and Imperial College London are grateful for support from the Northwest London National Insititute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research & Care. Tambe Ayuk acknowledges the Institute of Medical Research and Medicinal Plant Studies for office space provided. José das Neves was supported in his contribution to this work by a Fellowship from Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/92934/2013). João Fernandes gratefully acknowledges funding from FCT–Fundação para a Ciência e a Tecnologia (grant number UID/Multi/50016/2013). Jan-Walter De Neve was supported by the Alexander von Humboldt Foundation. Kebede Deribe is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (201900). Kazem Rahimi was supported by grants from the Oxford Martin School, the NIHR Oxford BRC and the RCUK Global Challenges Research Fund. Laith J Abu-Raddad acknowledges the support of Qatar National Research Fund (NPRP 9-040-3-008) who provided the main funding for generating the data provided to the GBD-IHME effort. Liesl Zuhlke is funded by the national research foundation of South Africa and the Medical Research Council of South Africa. Monica Cortinovis acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Chuanhua Yu acknowleges support from the National Natural Science Foundation of China (grant number 81773552 and grant number 81273179) Norberto Perico acknowledges that work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Charles Shey Wiysonge’s work is supported by the South African Medical Research Council and the National Research Foundation of South Africa (grant numbers 106035 and 108571). John J McGrath is supported by grant APP1056929 from the John Cade Fellowship from the National Health and Medical Research Council and the Danish National Research Foundation (Niels Bohr Professorship). Quique Bassat is an ICREA (Catalan Institution for Research and Advanced Studies) research professor at ISGlobal. Richard G White is funded by the UK MRC and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the European Union (MR/P002404/1), the Bill & Melinda Gates Foundation (TB Modelling and Analysis Consortium: OPP1084276/OPP1135288, CORTIS: OPP1137034/OPP1151915, Vaccines: OPP1160830), and UNITAID (4214-LSHTM-Sept15; PO 8477-0-600). Rafael Tabarés-Seisdedos was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIII-FEDER. Mihajlo Jakovljevic acknowleges contribution from the Serbian Ministry of Education Science and Technological Development of the Republic of Serbia (grant OI 175 014). Shariful Islam is funded by a Senior Fellowship from Institute for Physical Activity and Nutrition, Deakin University and received career transition grants from High Blood Pressure Research Council of Australia. Sonia Saxena is funded by various grants from the NIHR. Stefanos Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral program (reference number CD15/00019 from the Instituto de Salud Carlos III (ISCIII–Spain) and the Fondos Europeo de Desarrollo Regional. Stefanos was awarded with a 6 months visiting fellowship funding at IHME from M-AES (reference no. MV16/00035 from the Instituto de Salud Carlos III). S Vittal Katikreddi was funded by a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the MRC (MC_UU_12017/13 & MC_ UU_12017/15) and the Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). Traolach S Brugha has received funding from NHS Digital UK to collect data used in this study. The work of Hamid Badali was financially supported by Mazandaran University of Medical Sciences, Sari, Iran. The work of Stefan Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, Grant agreement number 01EA1411A). Mariam Molokhia’s research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. We also thank the countless individuals who have contributed to GBD 2016 in various capacities.

Published
2018

19. Lead farmers approach in disseminating improved tef production technologies

Author

Chanyalew, Solomon, Damte, Tebkew, Bekele, Abate, Tadele, Zerihun, and Assefa, Kebebew

Subjects
0106 biological sciences, 0404 agricultural biotechnology, 04 agricultural and veterinary sciences, 580 Plants (Botany), 040401 food science, 01 natural sciences, 010606 plant biology & botany
Abstract

The study was designed to assess the performance of an improved and recently released tef variety called Kora. Districts selected for the study were Ada, Minjar-Shenkora and Moretna-Jirru. Primary data were collected using a set of validated interview schedule and testing the tef variety on field plots of ten lead farmers who were randomly selected from forty-five lead farmers. Data analysis was carried out using frequency counts, minimum, maximum, mean, standard deviation and analysis of variance. The results of the analysis showed that eight of the lead farmers were very satisfied with the new variety. High grain yield was obtained at the 10 on-farm sites due to the introduction of new variety. While the grain yields ranged from 0.7 and 2.9 tons/ha, the mean yield was 2.2 tons/ha. On average, the total variable costs and total revenues of farms per/ha were Birr 18135.90 and Birr 43414.00, respectively. The cost structure analysis revealed that the two highest production costs were labor (56%) and fertilizer (23%). Hence, labor appears to be the most important limiting factor of production in small-scale tef farming.

Published
2017

22. Effect of farm size on technical efficiency: a case study of the Moretna-Jirru district in Central Ethiopia

Author

Bekele, Abate, Viljoen, M. F., Ayele, Gezahegn, Bekele, Abate, Viljoen, M. F., and Ayele, Gezahegn

Abstract

English: The main objective of the study is to analyze the effect of farm size on farm efficiency at household level in cereal based farming systems and to suggest policy recommendations. The survey was conducted in the Moretna-Jirru district of Ethiopia during the 2000/2001 cropping season. The district was selected for this study on the basis of the relatively longer experience of farmers to use new technology, the number of crop growers and the high potential for crop production. As part of the methodology, a structured questionnaire was developed and used during personal interviews with farmers. The collected data was analyzed using statistical package SPSS Version 10.1. The empirical model used for the estimation of technical efficiency of smallholders in this study was the stochastic production function. The stochastic frontier model results revealed that land area and seed application rate contributed the most to growth in wheat yield whereas increase in land size and application of urea led to statistically significant increases in tef yield. In view of the research objectives the major results/findings of the study were: • The stochastic frontier model analysis revealed that large farms were technically more efficient than small farms regarding both wheat and tef production; • The mean technical efficiency of wheat was calculated to be 0.83 for large farms and 0.79 for small farms (P= .001). The mean technical efficiency of tef for large and small farms was calculated to be 0.74 and 0.68, respectively (P= .001); • The average technical efficiencies of wheat and tef were calculated to be 80.85 % and 70.72 %, respectively. Under the current technology, farmers can thus increase the actual output levels of wheat and tef by about 19.1% and 29.3%, respectively, to become 100% efficient. The challenge remains to decrease technical inefficiency factors and to raise the production level towards the frontier production level. According to the model analysis, land si, Afrikaans: Die hoofdoel van die studie is om die uitwerking van plaasgrootte op doeltreffendheid op die huishoudingvlak in graangebaseerde boerderystelsels te ontleed en om beleidsvoorstelle te maak. Die opname is gedurende die 2000/2001 oesjaar in die Moretna-Jirru distrik van Etiopië gedoen. Dié distrik is vir hierdie studie gekies omdat die boere hier relatief meer ervaring het van die aanwending van nuwe tegnologie, weens die aantal gewasboere en die hoë potensiaal van gewasproduksie in hierdie gebied. As deel van die metodologie is 'n gestruktureerde vraelys ontwikkel en gedurende persoonlike onderhoude met boere voltooi. Die versamelde data is deur middel van die statistiese pakket, SPSS Version 10.1, ontleed. Die empiriese model wat vir die beraming van tegniese doeltreffendheid van kleinboere gebruik is, is die stogastiese produksiefunksie . Die resultate van die stogastiese front model het bevind dat die grootte van die grond en die hoeveelheid saad wat gesaai word, die grootste bydrae gemaak het tot 'n toename in die koringoes, terwyl 'n toename in die hoeveelheid grond en die aanwending van ureum tot statisties beduidende toenames in tefopbrengste gelei het. In die lig van die navorsingsdoelstellings was die belangrikste gevolge/bevindinge van die studie die volgende: • Die analise met die stogastiese front model het getoon dat groot plase tegnies meer doeltreffend was as klein plase met betrekking tot sowel koring- as tefproduksie; • Die gemiddelde tegniese doeltreffendheid van koring is bereken op 0.83 vir groot plase en 0.79 vir klein plase (P=.001). Die gemiddelde tegniese doeltreffendheid van tef vir groot en klein plase was bereken op 0.74 en 0.68 onderskeidelik (P=.OOl); • Die gemiddelde tegniese doeltreffendheid van koring en tef is op 80.85 % en 70.72 % onderskeidelik bereken. Met huidige tegnologie kan boere dus die ware uitsetvlak van koring en tef onderskeidelik met ongeveer 19. 1% en 29.3 % ondeskeidelik verhoog ten einde 100% doeltreffend te, World Bank

Published
2003

25. Tef (Eragrostis tef) Variety ‘Tesfa’

Author

Kebede, Worku, Tolossa, Kidist, Hussein, Nigussu, Fikre, Tsion, Genet, Yazachew, Bekele, Abate, Gebremeskel, Kidu, Fentahun, Atinkut, Daba, Habte, Plaza-Wüthrich, Sonia, Blösch, Regula, Chanyalew, Solomon, Asefa, Kebedew, and Tadele, Zerihun

Subjects
0106 biological sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 580 Plants (Botany), 01 natural sciences, 010606 plant biology & botany
Abstract

ጤፍ በኢትዮጵያ ከሚመረቱ የብርዕና አገዳ ሰብልች ዋናው ሲሆን የዓመቱ ቁጥር ከ6.5 ሚሉዮን የማያንስ አርሶ አዯር ያመርተዋሌ፡፡ ይህም አጠቃሊይ በብርዕና አገዳ ሰብልች ከሚሸፈነው ማሳ 30% ድርሻ አሇው፡፡ ይሁን እንጂ ከላልች ሰብልች ጋር ሲነፃፀር ምርታማነቱ አነስተኛ ነው፡፡ ሇዚህም ምክንያቱ በከፊሌ አርሶ አዯሩ ያሌተሻሻለ የአካባቢ ዝርያዎችን በመጠቀሙና፣ የሰብለ ተፈጥሯዊ የመጋሸብ ባህሪ ናቸው፡፡ የዚህ ጥናት ዓሊማ በተሇየ ምርምር አሰራር የተገኘን የጤፍ ዝርያን በመፈተሸ የተሻሇ ምርት፤ የአገዳ ጥንካሬን አንዲሁም የዘር ቀሇም ያሇውና በአርሶ አዯሩ ተመራጭ ዝርያ ማፍሇቅ ነበር፡፡ በጥናቱ በቅርቡ የተሇቀቀ አንድ ዝርያና አንድ የአካባቢ ዝርያን ጨምሮ 10 የተሇያዩ የጤፍ አይነቴዎችን በማካተት በስድስት ወካይ ጤፍ አብቃይ ቦታዎች ሊይ ተፈትሸው ተስፋ (ዯዘ-ክሮስ-457) ተብል የተሰየመውና የተሇያዩ የጤፍ አይነቴዎች ተዳቅሇው የተገኘው ዝርያ ከላልች ማወዳዯሪያ ተፈታሽ ዝርያዎች የተሻሇ ውጤት በማስመዝገቡ በብሄራዊ የዝርያ አፅዳቂ ኮሚቴ ተገምግሞ ሇምርት እንዲሇቀቅ ተወስኗሌ፡፡ ይህ ዝርያ ከላልች ዝርያዎች በንፅፅር መጋሸብን በመቋቋሙ፤ የተሻሇ ምርት በመስጠቱ በአርሶአዯሩ ተፈሊጊ ከመሆኑም በሻገር ከዝርያው ባህሪ የተነሳ ሇመስኖ እርሻና በሰብሌ መድረሻ ጊዜ የማጨጃ የእርሻ መሳሪያ መጠቀም ያስችሊሌ፡፡, Tef [Eragrostis tef (Zucc.) Trotter] is extensively cultivated cereal crop in Ethiopia where it is annually grown by about 6.5 million smallholder farmers on about 30% of the total area allocated to cereal crops.However, the productivity of tef is very low compared to other cereals mainly due to lack of high yielding and lodging tolerant cultivars. The objective of this study was to evaluate the performance of the recently released tef variety called Tesfaand to provide unique morphological and agronomic descriptions of this new variety. Ten genotypes which were derived from three independent crosses and bred for at least eight generations plus a local and standard check varieties were tested at six tef growing sites in Ethiopia (namely, Adet, Chafe Donsa,DebreZeit black soil, DebreZeit light soil,Ginchiand Holetta) using RandomizedCompleteBlock Design with three replications. The study found that Tesfa(DZ-Cr-457 RIL-181) which was obtained from a cross between kinde (a semi-dwarf mutant line developed at the University of Bern, Switzerland) and Kay Murri(a landrace) outperformed other genotypes and approved for release by the Ethiopian National Variety Release Committee in March 2017.The main advantages of Tesfa over other tested lines were its higher grain yield and higher lodging tolerance. In addition, Tesfa possesses unique properties for which high acceptance by growers is expected. These are its compact panicle, lack of shattering, and thick and strong culm

26. Technology generation to dissemination: lessons learned from the tef improvement project

Author

Suhail Rafudeen, Muluneh Tamiru, Zerihun Tadele, Mike Robinson, Kidu Gebremeskel, Wuyan Wang, Brikti Ferede, Regula Blösch, Abiel Rindisbacher, Korinna Esfeld, Shimelis Hussein, Ermias Abate, Sonia Plaza-Wüthrich, Firew Mekbib, Ian Barker, Victoria Johnson-Chadwick, Dominik Klauser, Habte Jifar, Gina Cannarozzi, Worku Kebede, Yazachew Genet, Samuel C. Zeeman, Abate Bekele, Hans Christian Pedersen, Kebebew Assefa, Moritz Jöst, Naomi Nakayama, Negussu Husein, Solomon Chanyalew, Annett Weichert, Federico Martinelli, Rizqah Kamies, Kidist Tolosa, Cannarozzi, Gina, Chanyalew, Solomon, Assefa, Kebebew, Bekele, Abate, Blösch, Regula, Weichert, Annett, Klauser, Dominik, Plaza-Wüthrich, Sonia, Esfeld, Korinna, Jöst, Moritz, Rindisbacher, Abiel, Jifar, Habte, Johnson-Chadwick, Victoria, Abate, Ermia, Wang, Wuyan, Kamies, Rizqah, Husein, Negussu, Kebede, Worku, Tolosa, Kidist, Genet, Yazachew, Gebremeskel, Kidu, Ferede, Brikti, Mekbib, Firew, Martinelli, Federico, Pedersen, Hans Christian, Rafudeen, Suhail, Hussein, Shimeli, Tamiru, Muluneh, Nakayama, Naomi, Robinson, Mike, Barker, Ian, Zeeman, Samuel, and Tadele, Zerihun

Subjects
0106 biological sciences, 0301 basic medicine, TILLING, Context (language use), Plant Science, Biology, 580 Plants (Botany), Horticulture, Eragrostis tef, 01 natural sciences, Farmer-participatory research, Indigenous, 03 medical and health sciences, Genetic, Orphan crop, Settore AGR/07 - Genetica Agraria, Marker-assisted breeding, Orphan crops, Tef, Milestone (project management), Genetics, Population growth, Environmental planning, Uncategorized, Food security, business.industry, 030104 developmental biology, Agriculture, Famine, business, Green Revolution, Agronomy and Crop Science, 010606 plant biology & botany
Abstract

Indigenous crops also known as orphan crops are key contributors to food security, which is becoming increasingly vulnerable with the current trend of population growth and climate change. They have the major advantage that they fit well into the general socio-economic and ecological context of developing world agriculture. However, most indigenous crops did not benefit from the Green Revolution, which dramatically increased the yield of major crops such as wheat and rice. Here, we describe the Tef Improvement Project, which employs both conventional- and molecular-breeding techniques to improve tef—an orphan crop important to the food security in the Horn of Africa, a region of the world with recurring devastating famines. We have established an efficient pipeline to bring improved tef lines from the laboratory to the farmers of Ethiopia. Of critical importance to the long-term success of this project is the cooperation among participants in Ethiopia and Switzerland, including donors, policy makers, research institutions, and farmers. Together, European and African scientists have developed a pipeline using breeding and genomic tools to improve the orphan crop tef and bring new cultivars to the farmers in Ethiopia. We highlight a new variety, Tesfa, developed in this pipeline and possessing a novel and desirable combination of traits. Tesfa’s recent approval for release illustrates the success of the project and marks a milestone as it is the first variety (of many in the pipeline) to be released., Euphytica, 214 (2), ISSN:0014-2336, ISSN:1573-5060

Published
2023
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