This data covers the crop aspect of the Agronomy Panel Survey (APS) implemented in 99 selected communities across 17 LGAs in 22 randomly selected 10km x 10 km sampling grids from Kano, Kaduna and Katsina States. The XLS file has tabs for Metadata, Variables, Data and Data history.
Agronomy and yield survey of approximately 70 maize fields in one 10 x 10km2 area in Bako in 2015 conducted by EIAR and CIMMYT. Replicated crop cuts of 16m2 in farmers fields along with addition data on agronomy, household characteristics, fertilizer use, variety, and soil analysis.
This dataset was obtained from maize Crop cut survey conducted in 2015 by EIAR and CIMMYT. Replicated crop cuts of 16m2 in farmers fields along with addition data on nutrient use and variety, and soil sample (0-20, 20-50 cm). Note that not all soil samples have been analysed yet.
Nutrient Ommission Trials (NOT's) conducted in two zones (West Showa and Jimma) in Ethiopia in 2015 and 2016. Trials comprise six nutrient management treatements, namely Control (zero fertilzer), PK, NK, PK, NPK, NPK+Ca+Mg+Zn+B. Trials were conducted on-farm with six plots per farm. Observations include soil analysis (0-20cm), biomass and grain yields
This files ontains yiedl and soils data coillected by CSA (Central Statistical Agency) from four zones in Oromia (East Showa, Wollega, West and South West Showa and Jimma) and one Zone in Amhara (West Gojjam). A total of 38 primary sampling units were covered and making a total of 383 sampling points. Unreplicated crop cuts were made on farmers maize fields and yield measured. Soil samples were also collected at 0-20 and 20-50cm but are not all analysed yet.
Data from crop-cuts as part of the Agronomy Panel Survey (APS) implemented in Oromia in three Zones (East Wollega, West Showa and Jimma). The APS included 16 peasant associations and 76 communities across the western part of Ethiopia in 56 randomly selected 1 X 1 km areas from eight 10km x 10 km sampling grids. Replicated crop cuts were made on farmers maize fields and yield measured. Soil samples were also collected but have not been analysed yet.
Performance trials (N=52) in two zones (West Shewa and Jimma) in Ethiopia. Trials comprise four nutrient management treatments, namely control with zero fertilizer ; and three fertilizer recommendations to achieve the same target yield based on regional fertilizer recommendation, a Nutrient Expert (IPNI software) based recommendation and a soil-test NE based recommendation. Trials were conducted on-farm with four plots per farm. Observations include biomass and grain yields, as well as pre-sowing pH, nitrogen and phosphorus levels. Some N & K data are missing.
Experiments at five locations (Dedessa, Uke, Bako, Ambo, Holleta) in Ethiopia on an altitude gradient (1231 to 2351 m) to calibrate development or phenology of 20 maize varieties. There were two to three sowing dates at each location. Observations include dates of emergence, tassel, silking and maturity; biomass and grain yields.
The objective of the Landscape Diagnostic Survey (LDS) for wheat is to bridge the existing data-gap around current production practices of wheat, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. The data has been collected from farmers largest wheat plot for 2018, 2019, 2020 and 2021. The surveys for the year 2020, and 2021 were done via phone surveys due to COVID and can be used as panel data with the hhid. Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. The sample size for this survey in 2018 is 1577 households, in 2019 is 1207 households, in 2020 is 1028 households, and 953 households for 2021. The inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots.
The objective of the Landscape Diagnostic Survey (LDS) for rice is to bridge the existing data-gap around current production practices of rice, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within the Feed the Future (FtF) districs. Data has been collected from farmers largest rice plot for 2019, 2020 main (kharif) season . Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet. The sample size for this survey in 2019 is 2917 households, and 2122 households for 2020. The inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots.