Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
21–30 of 66 datasets
CIMMYT Ethiopia
The experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Oaxaca.
CIMMYT Ethiopia
This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Morelos.
CIMMYT Ethiopia
This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Yaqui Valley.
CIMMYT Ethiopia
The experiment was initiated in 2008 and concluded in 2018 to evaluate the performance of durum wheat (Triticum durum L.) under conventionally tilled (CTB) and permanent beds (PB) under two sowing irrigation practices and five nitrogen (N) fertilization treatments in northwestern Mexico. It was located at the Norman E. Borlaug Experiment Station (CENEB) near Ciudad Obregón, Sonora, Mexico (lat. 27°22010″N, long. 109°55051″E, 38 masl) and had a randomized complete block design for four environments (ENV) that combined tillage and sowing irrigation practice: CTB with wet and dry sowing and PB with wet and dry sowing. The PB treatments had been under conservation agriculture for over ten years previously to the experiment. Plots were defined by N fertilizer management, with three replicates. Plots were 3 m wide (4 beds of 0.75 m width) and 10 m long, a space of 30 m2. The CTB were tilled after each crop with a disk harrow to 20 cm depth and new beds were formed. The PB were only reshaped every year in the furrow without disturbing the soil on the bed. In wet sowing, 100-120 mm irrigation was applied two-to-three weeks before sowing; in dry sowing, the field was irrigated one or two days after sowing, which provided higher soil moisture content during germination than wet sowing. Four auxiliary irrigations of 80-100 mm were applied to all plots each cycle. The N fertilizer treatments consisted of a control treatment with no N fertilizer and five treatments with different doses and divisions between first and second fertilization applied as urea. The basal N application was done on the same day as the pre-sowing irrigation, applying the fertilizer in the furrow and incorporating it through irrigation. The N application at first node was completed immediately prior to the first auxiliary irrigation. Nitrogen was applied either once (basal) or split between pre-sowing and first node (split). The data set contains daily weather data for the weather station closest to the experimental site for 2008-2018 (reference evapotranspiration, precipitation, minimum and maximum temperature), yield data (grain yield, biomass yield and straw yield for durum wheat), grain quality data (test weight and thousand kernel weight), and plant physiological data (plant stand, days from flowering to maturity, NDVI) for 2009-2018, grain and straw N data for three years, soil temperature for two years and soil moisture for one year.
CIMMYT Ethiopia
Research on the effect of split nitrogen application on wheat grain yield and quality under conservation agriculture. The study was conducted during the 2016-2017 and 2017-2018 fall-winter cycles in the Bajío region of Guanajuato. The effects of study locations, wheat varieties, nitrogen fractionation, and their interactions were evaluated.
FDRE - Ministry of Agriculture (MoA)
The Soil and Terrrain database of Central Africa (SOTERCAF, version 1.0) was compiled at scale 1:2 million for the Democratic Republic of Congo and at scale 1:1 million for Rwanda and Burundi. The SOTERCAF compilation has been a joint collaboration of the Soil Science Laboratory of the University of Ghent, Belgium and ISRIC - World Soil Information, Wageningen under contract with the Food and Agriculture Organisation of the United Nations. Further assistance is provided by the Department BIOT of the Hogeschool Gent, the Royal Museum for Central Africa (Tervuren) and data holders in the Democratic Republic Congo, Burundi and Rwanda. The project started in September 2005 by deriving physiographic units from SRTM grid data based on SOTER landform definitions. The database was completed in July 2006 after combining the physiographic layer with the lithology and soils layer. The border harmonization with the SOTERSAF database was finalized November 2006. SOTERCAF forms a part of the ongoing activities of ISRIC, FAO and UNEP to update the world's baseline information on natural resources.The project involved collaboration with national soil institutes from the countries in the region as well as individual experts.
FDRE - Ministry of Agriculture (MoA)
This harmonized set of soil parameter estimates for Central Africa, comprising Burundi, the Democratic Republic of the Congo and Rwanda, was derived from the Soil and Terrain Database for Central Africa (SOTERCAF ver. 1.0) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. The land surface of Central Africa, comprising some 2.4 million km2, has been characterized using 244 unique SOTER units, corresponding with 504 polygons. Each SOTER unit may consist of up to 6 soil components; each of these has been characterized by a representative profile. The main soil units mapped for the region have been characterized using 167 real profiles, selected by soil experts as being regionally representative for these units. The associated soil analytical data have been derived from soil survey reports. Gaps in the measured soil data have been filled using a scheme of using a step-wise procedure that uses taxotransfer rules. These rules were developed using some 5672 soil profiles, held in the ISRIC-WISE database, having similar FAO soil unit names as those reported in the primary SOTERCAF database. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, C/N ratio, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (less than 2 mm), and available water capacity (-33 kPa to -1.5 MPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data.
FDRE - Ministry of Agriculture (MoA)
This harmonized set of soil parameter estimates has been developed using an updated 1:500 000 scale Soil and Terrain (SOTER) Database for Jordan. The associated soil analytical data were derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a step-wise procedure that uses taxotransfer rules, based on about 9600 soil profiles held in the WISE database, complemented with expert-rules. Nineteeen parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth.
FDRE - Ministry of Agriculture (MoA)
The Soil and Terrain database for the Upper Tana River Catchment (version 1.1) (SOTER_UT_v1.1) at scale 1:250,000 was compiled to support the Green Water Credits (GWC) programme by creating a primary SOTER dataset for a hydrology assessment of the basin. The Kenya Soil Survey of the Kenya Agriculture Research Institute(KARI-KSS) and ISRIC-World Soil Information compiled the SOTER_UT dataset ... according to the standard SOTER methodology. The dataset includes both data of the original KENSOTER database (1:1M) for the Upper Tana Catchment and, new SOTER units and soil profile data taken from other, existing soil surveys mainly at scale 100,000 and from more detailed studies. The SOTER database was used for the hydrology assessment of Upper Tana basin using the model Soil and Water Assessment Tool (SWAT)to quantify the impact of land management practices change in the basin's waterbalance.
FDRE - Ministry of Agriculture (MoA)
This harmonized set of soil parameter estimates for Southern Africa has been derived from the 1:2M scale Soil and Terrain Database for Southern Africa (SOTERSAF ver. 1.0) and ISRIC-WISE soil profile database. The land surface of Southern Africa has been characterized using 4022 unique SOTER units, corresponding with 6099 polygons. The major soils have been described using 941 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a step-wise procedure that uses taxonomy-based pedotransfer rules, based on some 9600 soil profiles held in the WISE2 database. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (less than 2 mm), and available water capacity (-33 to -1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and have been linked to the 1:2M scale SOTERSAF map in a GIS, through the unique SOTER-unit code.