CIMMYT Ethiopia
TAMASA Tanzania APS household data for 2016
This dataset consists of community-level data on 75 communities in 25 maize-growing districts in Tanzania.
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.
41–47 of 47 datasets
CIMMYT Ethiopia
This dataset consists of community-level data on 75 communities in 25 maize-growing districts in Tanzania.
CIMMYT Ethiopia
Replicated crop-cuts and related agronomy data for maize from 142 farmers' fields in Southern, Eastern and Northern Zones in 2014/2015 season. The soils data from these fields can be found here.
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
APS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about characteristics, agronomic history, input and management of the focal plot. dataset variables observations focal_plot_merged 65 336 input_focal 18 822 other_management_focal 13 4032 planting_focal 11 339 crop_residue_focal 10 3696 agronomic history 18 3360 There are two linked household datasets, on Belg and Meher production Note that dates are in the Ethiopian calendar. see, https://en.wikipedia.org/wiki/Ethiopian_calendar"
CIMMYT Ethiopia
This dataset consists of community-level data on 42 communities in 25 maize-growing districts in Tanzania and is linked to other files under TAMASA_TZ_APS_XXXX_2016. Descriptors of the variables are in the attached document files.
CIMMYT Ethiopia
This database comprises grain and nutritional yield data from on-farm trials implemented in the Dedza and Mzimba districts of Malawi over three growing seasons (2017/18 to 2019/20). The study was designed to evaluate yields resulting from treatments involving different cereals and legumes within intercropping systems. The complete dataset supported the findings published in: 'Small grains for small farms? Food and nutrition security from maize, sorghum, and millet cropping systems in Southern Africa.