Search Results - "Ethiopia"

Development of the Ethiopian Healthy Eating Index (Et-HEI) and evaluation in women of reproductive age by Bekele, Tesfaye Hailu, Vries, Jeanne de, Feskens, Edith J., Weijer, Anneloes de, Brouwer, Inge D., Covic, Namukolo M., Trijsburg, Laura

“…Ethiopia announced its first food-based dietary guidelines (FBDGs) on 15 March 2022. …”
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Spatial targeting of adaptation efforts in the livestock sector by Kimani, Lucy, Hoek, Rein van der, Notenbaert, An Maria Omer

“…To address this need, we compiled spatially-explicit climate risk layers for Ethiopia, Tanzania, Kenya, Senegal, Mali, Tunisia, and Colombia and uploaded them to the Targeting Tools platform for easy access. …”
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Technologies for African Agricultural Transformation (TAAT) celebrates 143 interventions in 132 sites across Africa: Updates 2018, Issue 001 by Technologies for African Agricultural Transformation

“…This issue covers the Program's first year of implementation under the following subjects: About TAAT African Development Bank seeks partnerships to lift one billion people out of hunger How TAAT is empowering women farmers through Urea Deep Placement Technology Fertilizer Microdose Technology leads to higher yields among farmers in Mali TAAT’s Business Platform approach boosts access to high iron beans in Zimbabwe Farm to Fork: TAAT engages youth in growing beans TAAT trains trainers on managing innovation platforms to amplify hotspots in the local tech How TAAT’s deployment of feed resources is meeting Ethiopia’s livestock needs TAAT: Enabling the passion of African youth in Agriculture Deployment of proven technologies leads to increased aquaculture productivity New technologies and best management practices boost aquaculture How TAAT Technologies are taking cassava to a new frontier in Africa TAAT: Steering Africa towards a water-secured wheat production Feed Africa: Stakeholders zero in on partnerships for technology delivery TAAT enhances the adoption of improved pearl millet Crop residue trade leads to leads to increase in farmers’ income in Nigeria TAAT approach to combating fall armyworm offers hope to millions TAAT records increased food production and income through maize technologies TAAT supports harmonization of seed policy in Southern and Eastern Africa Democratic Republic of Congo: Implementing reforms for seed sector development Sierra Leone: Stakeholder engagement for seed sector reform TAAT transforms Sudanese wheat seed sector with proven technologies Rwandan youth find self-employment in processing orange-fleshed sweet potato How TAAT is rewriting the African rice story Sights and Visions of African Agricultural Transformation.…”
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Seasonal seed scenario planning: co-design of a generic framework for matching seed supply and demand using seasonal climate forecasts by Steinke, Jonathan, Ortíz Crespo, Berta, Etten, Jacob van, Borman, Gareth Denis, Hassena, Mohammed, Kretschmer, Marlene, MacLeod, David A., Muungani, Dean

“…To explore this idea, we engaged decision-makers from seed supply organizations in Zimbabwe and Ethiopia. Through a participatory design process, we identified opportunities and challenges for using seasonal rainfall forecasts to inform seed supply decisions. …”
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Training on Climate Risk Management in Agricultural Advisory Services in Senegal by Sine, Bassirou, Faye, Babacar, Thiaw, Cheikh, Sy Diallo, Babacar

“…The AICCRA project (Accelerating Impacts of CGIAR Climate Research in Africa), is a three (3) year project (2021-2023) funded by the World Bank (IDA) in six (6) African countries: Ethiopia, Kenya, Zambia, Ghana, Mali and Senegal. The main objective of AICCRA-Senegal is to strengthen the technical, institutional and human capacities needed to improve the transfer of climate-related information, decision-making tools. …”
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Agroecologies defined by species distribution models improve model fit of genotype by environment interactions to identify the best performing chicken breeds for smallholder system... by Getachew, Fasil, Komen, Hans, Dessie, Tadelle, Hanotte, Olivier H., Kemp, Stephen J., Worku, Setegn, Bastiaanssen, Wim G.M.

“…We collected growth performance data on improved chicken breeds distributed to multiple environments in Ethiopia. We applied species distribution models (SDMs) to identify the most relevant environmental predictors and to group chicken performance testing sites into agroecologies. …”
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Women power! Gender-related inequality in agricultural income generation: Empirical evidence from eight African countries by Heesemann, Esther, Kluth, Jessika, Nico, Gianluigi, Cavatassi, Romina, Sitko, Nicholas, Azzarri, Carlo

“…Our study takes advantage of nationally representative LSMSISA household surveys from eight countries in Africa, south of the Sahara (Burkina Faso, Ethiopia, Malawi, Mali, Niger, Nigeria, Tanzania, and Uganda), matched with gridcell monthly time-series bioclimatic variables (temperature, rainfall, SPI, SPEI), to identify climate shocks and weather variability. …”
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Data utilized in African Green Climate Fund Agricultural Adaptation Projects and its availability in selected Decision Support Tools (DSTs) by Rosenstock, Todd S., Joshi, Namita, Steward, Peter Richard, Kristal, Jones

“…The projects spanned multiple African nations, including (project numbers): Burkina Faso (FP074), Ethiopia (FP058), Gambia (FP011), Ghana (FP114), Kenya (FP113, FP175), Liberia (FP160), Malawi (FP002), Mali (FP012), Namibia (FP023, FP024, SAP001), Niger (SAP012), Senegal (FP003, FP021, FP049), Tanzania (FP041, FP179), Uganda (FP034), and Zambia (FP072). …”
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AICCRA 2023 Partnership Survey Results Report by Poulos, Allison, Giombini, Valentina, Calì, Davide, Ramírez, Margarita M., Schuetz, Tonya, Marchi, Julian, Bonilla Findji, Osana

“…Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) is a USD 60 million three-year project, funded by the World Bank and led by CIAT, with participating partners from seven countries: Ethiopia, Kenya, Ghana, Kenya, Mali, Senegal and Zambia. …”
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Evidence for Resilient Agriculture (ERA): Livestock Data by Rosenstock, Todd S., Steward, Peter Richard, Joshi, Namita, Mumo, Elijah Musyoki, Ombewa, Babra Vivian Adhiambo, Kacha, Gabrielle Nour

“…The geographic scope of experimental locations includes Nigeria (20% of locations), Ethiopia (17.7%), South Africa (14.9%), Egypt (8.8%), Kenya (7%), Tanzania (5.8%), Ghana (4.2%) and 16 more countries (21.7%). …”
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A population genomics approach to unlock the genetic potential of lablab (Lablab purpureus (L.) Sweet), an underutilized tropical forage crop by Teshome, Abel, Habte, Ermias, Cheema J., Mekasha, A., Lire, H., Muktar, Meki S., Quiroz-Chavez, J., Domoney, C., Jones, Christopher S.

“…To develop new and highly productive lablab varieties, using genomics-assisted selection, the present study aimed to identify quantitative trait loci associated with agronomically important traits in lablab and to assess the stability of these traits across two different agro-ecologies in Ethiopia. Here, we resequenced one hundred and forty-two lablab accessions, utilised whole genome genotyping approaches, and conducted multi-locational phenotyping over two years. …”
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Seasonal variation in maternal dietary diversity is reduced by small-scale irrigation practices: A longitudinal study by Baye, Kaleab, Mekonnen, Dawit Kelemework, Choufani, Jowel, Yimam, Seid, Bryan, Elizabeth, Grifith, Jeffrey K., Ringler, Claudia

“…The study aimed to evaluate the effect of seasonality and irrigation on women's diet in rural Ethiopia. Using a longitudinal study design, three rounds of surveys were conducted among women of reproductive age (15–49 years). …”
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Feed balances for ruminant livestock: Gridded estimates for data constrained regions by Fraval, Simon, Mutua, John Y., Amole, Tunde A., Tolera, Adugna, Feyisa, Tesfaye, Thornton, Philip K., Notenbaert, An Maria Omer, Adesogan, Adegbola T., Balehegn, Mulubrhan, Ayantunde, Augustine A., Zampaligré, Nouhoun, Duncan, Alan J.

“…In this study we assess feed balances for ruminant livestock in Ethiopia and Burkina Faso. Feed availability was estimated using remotely sensed products and detailed feed composition data. …”
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Understanding the demand for “protective foods” in East Africa: An economic analysis with recommendations by Headey, Derek D., Ecker, Olivier, Comstock, Andrew R., Ruel, Marie T.

“…We used household surveys to compare dietary patterns in Ethiopia, Kenya, Tanzania, and Uganda to the EAT-Lancet healthy reference diet and to quantify and explain consumption gaps for nutritious foods. …”
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Public-sector maize research locations and spatial heterogeneity in maize productivity: Insights from four African countries on the roles of agroclimatic similarity by Takeshima, Hiroyuki

“…This paper partly aims to fill this knowledge gap by obtaining insights for maize, one of the most commonly grown crops in SSA, using nationally representative farm household data for Ethiopia, Ghana, Nigeria, and Uganda, and spatial agroclimatic data. …”
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Pesticide contamination of surface and groundwater in an Ethiopian highlands’ watershed by Sishu, F. K., Tilahun, S. A., Schmitter, Petra S., Assefa, G., Steenhuis, T. S.

“…It should be phased out for use in Ethiopia to safeguard the ecological health of Lake Tana, which is rich in biodiversity and endemic fish species.…”
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Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey by International Food Policy Research Institute

“…The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. …”
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Pixelating crop production: Consequences of methodological choices by Joglekar, Alison K. B., Wood-Sichra, Ulrike, Pardey, Philip G.

“…To do so, we determine the sensitivity of the 2005 variant of the spatial production allocation model data series (SPAM2005) to eight methodological-cum-data choices in nine agriculturally-large and developmentally-variable countries: Brazil, China, Ethiopia, France, India, Indonesia, Nigeria, Turkey and the United States. …”
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Livestock water productivity in the Blue Nile Basin: assessment of farm scale heterogeneity by Haileslassie, Amare, Peden, Donald G., Gebreselassie, S., Amede, Tilahun, Wagnew, A., Taddesse, G.

“…To get an insight into the causes of this variability, we examined the effect of farm households’ access to productive resources (e.g. land, livestock) on LWP in potato–barley, barley–wheat, teff–millet and rice farming systems of the Gumera watershed (in the Blue Nile Basin, Ethiopia). We randomly selected 180 farm households. …”
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Impact evaluation of the strengthen PSNP4 institutions and resilience (SPIR) development food security activity (DFSA): Baseline report by Alderman, Harold, Bachewe, Fantu Nisrane, Gilligan, Daniel O., Hidrobo, Melissa, Ledlie, Natasha, Ramani, Gayathri V., Taffesse, Alemayehu Seyoum

“…Under PSNP4, the Government of Ethiopia (GOE) undertook a new round of targeting to identify client households. …”
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