CIMMYT Ethiopia
TZ TAMASA APS 2016 pigeon peas Yield MetaData
Survey at multiple locations in Tanzania (600 to 2100 m) to establish baseline yields at farm level.
1 resource
Published 15 Aug 2019
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Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
11–18 of 18 datasets
CIMMYT Ethiopia
Survey at multiple locations in Tanzania (600 to 2100 m) to establish baseline yields at farm level.
CIMMYT Ethiopia
CIMMYT and IITA. 2017. TAMASA Tanzania Agronomic Panel Survey for 2016. Version 1. Taking Maize Agronomy to Scale Project, CIMMYT and IITA. Tabular dataset
CIMMYT Ethiopia
This dataset consists of community-level data on 75 communities in 25 maize-growing districts in Tanzania.
CIMMYT Ethiopia
Survey at multiple locations in Tanzania (600 to 2100 m) to establish baseline yields at farm level.
CIMMYT Ethiopia
This dataset consists of soil data from Baseline Yield Survey conducted in Southern Highlands, Northern and Eastern Zones in Tanznaia. These data are associated, by location, with the yield data collected under the same baseline survey for the same areas and time period
CIMMYT Ethiopia
The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils components for a focal field. This is a yearly panel survey, i.e. data are collected on the same households and fields every year for the duration of the project. The purpose of the data collection is severalfold: 1. To better document spatio-temporal variability in agronomic management and yield outcomes 2. To facilitate research on a. drivers of yield outcomes (i.e. role of alternative agronomic practices), and b. the determinants of farmer decision-making (i.e. in adopting particular agronomic practices) that contribute to observed yield outcomes 3. To test the hypothesis that farm-level socioeconomic data adds value to our understanding of yield outcomes (and, thus, our ability to predict such outcomes in the future, using geospatially explicit approaches) 4. To serve as a baseline for the evaluation of site-specific nutrient management tools, using randomized control experimental approaches, combined with econometric analysis of panel survey data.
CIMMYT Ethiopia
The 2017 Agronomy Panel Survey (APS) for Tanzania is the second wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils components for a focal field. This is a yearly panel survey, i.e. data are collected on the same households and fields every year for the duration of the project. The purpose of the data collection is severalfold: 1. To better document spatio-temporal variability in agronomic management and yield outcomes 2. To facilitate research on a. drivers of yield outcomes (i.e. role of alternative agronomic practices), and b. the determinants of farmer decision-making (i.e. in adopting particular agronomic practices) that contribute to observed yield outcomes 3. To test the hypothesis that farm-level socioeconomic data adds value to our understanding of yield outcomes (and, thus, our ability to predict such outcomes in the future, using geospatially explicit approaches) 4. To serve as a baseline for the evaluation of site-specific nutrient management tools, using randomized control experimental approaches, combined with econometric analysis of panel survey data
CIMMYT Ethiopia
Agriculture in eastern Africa is predominantly rainfed and maize is a major food crop, primarily produced for home consumption and the market by small-scale family farms. The study characterized farm households in the drought prone maize growing areas of eastern Africa synthesizing data from parallel household surveys in Ethiopia, Kenya, Uganda and Tanzania. The study provides a comparative analysis of the farm households’ assets, livelihood strategies and crop management practices, with an emphasis on maize and maize seed. This illustrates how farmers in a similar agro-ecological environment but with different socio-economic and institutional settings have variously adapted to living with drought and how the inherent weather risk co-determines the livelihood portfolio, agricultural intensification incentives and system development pathways. The study thereby illustrates the challenges for agricultural intensification in such drought prone environments and the scope for drought tolerant maize varieties and explores the research and development implications.