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The Feed the Future Innovation Lab for Small-Scale Irrigation is a five-year project that aims to benefit farmers of Ethiopia, Ghana and Tanzania by improving effective use of scarce water supplies through interventions in small-scale irrigation. It is a part of the U.S. Government’s Feed the Future Initiative.

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1 to 10 of 73 Results
Oct 29, 2019 - Ethiopia Dataverse
Stellbauer, Robert, 2019, "Price and quality of feed resources collected from Bahir Dar zuria and other districts of Amhara region", https://doi.org/10.18738/T8/YFM43Z, Texas Data Repository Dataverse, V1
Price and quality of feed resources collected from Bahir Dar zuria and other districts of Amhara region
Oct 28, 2019 - Dangesheta Dataverse
Bizimana, Jean-Claude, 2019, "Ex-post, Gap and Constraint Farm Simulation Model Data", https://doi.org/10.18738/T8/XRSZRR, Texas Data Repository Dataverse, V1
Farm Simulation Model (FARMSIM) data for Ex-post, Gap and Constraint analysis.
Oct 28, 2019 - Dangesheta Dataverse
Worqlul, Abeyou W., 2019, "Conservation agriculture (CA) practice", https://doi.org/10.18738/T8/UBEOIB, Texas Data Repository Dataverse, V1
Agricultural Policy/Environmental eXtender (APEX) data. Conservation agriculture (CA), where the field plots were covered with a continuous organic mulch throughout the crop-growing period. Irrigation scheduling was based on crop water requirement (CWR) computed with the Penman-M...
Oct 28, 2019 - Dangesheta Dataverse
Worqlul, Abeyou W., 2019, "Ex-post Agricultural Policy/Environmental eXtender Data: Conventional tillage (CT)", https://doi.org/10.18738/T8/JJ113R, Texas Data Repository Dataverse, V1
Conventional tillage (CT), no mulch application with irrigation scheduling based on crop water requirement (CWR) computed with the Penman-Monteith equation using historical climate data from Dangila weather station (CT-CWR);
Oct 28, 2019 - Dangesheta Dataverse
Worqlul, Abeyou W., 2019, "Ex-post Agricultural Policy/Environmental eXtender Data: Multiple cropping systems", https://doi.org/10.18738/T8/YUTYPT, Texas Data Repository Dataverse, V1
In multiple cropping systems, irrigated crop (vegetable or fodder) was cultivated after a dominant rainfed crop (maize or teff). The multiple cropping systems were evaluated with the baseline condition (a single cropped rainfed teff or maize) to assess their outcome across the SI...
May 30, 2019 - Bihinaayili Dataverse
Bizimana, Jean-Claude, 2019, "Ex-ante Farm Simulation Model Data", https://doi.org/10.18738/T8/ZX1Q1E, Texas Data Repository Dataverse, V1
Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
May 30, 2019 - Dimbasinia Dataverse
Bizimana, Jean-Claude, 2019, "Ex-ante Farm Simulation Model Data", https://doi.org/10.18738/T8/0WCHIX, Texas Data Repository Dataverse, V1
Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
May 30, 2019 - Zanlerigu Dataverse
Bizimana, Jean-Claude, 2019, "Ex-ante Farm Simulation Model Data", https://doi.org/10.18738/T8/6U348P, Texas Data Repository Dataverse, V1
Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
May 15, 2019 - Mkindo Dataverse
Bizimana, Jean-Claude, 2019, "Ex-ante Farm Simulation Model Data", https://doi.org/10.18738/T8/0O7EQJ, Texas Data Repository Dataverse, V1
Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
May 15, 2019 - Ethiopia Dataverse
Derseh, Melkamu, 2019, "Nutritional quality and price of irrigated fodder and other feed resources in Lemo", https://doi.org/10.18738/T8/LQEMZF, Texas Data Repository Dataverse, V1
The dataset describes the nutritional quality of irrigated oat-vetch forage and Desho grass as well as average market prices of the forages. The data also contains price and quality information for other feed resources marketed in the Lemo and surrounding districts to provide inf...
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