This dataset consists of Result of Grain Analysis for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B) . The dataset is divided into six sheets; Metadata, variable, Sites information, Raw Data, Data Summary and Data History. 'Metadata' give summary description of the dataset. 'Variables' give the name, unit, description and method of determination of the variables in the dataset. 'Site information' gives description of the study and sampling sites, 'Raw Data' contain the raw dataset, Data summary gives the summary statistics of each of measured variable in the raw dataset. And 'Data History' describe the historical changes and exchange in the raw dataset.
This dataset consists of Result of NOT for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B). The dataset is divided into eight sheets; Metadata, Variable, Sites information, Timing Parameters, Yield Parameters, Grain Yield Data Summary and Data History. 'Metadata' give summary description of the dataset. 'Variables' give the name, unit, description and method of determination of the variables in the dataset. 'Site information' gives description of the study and sampling sites. 'Timing Parameters' contain the data for various agronomic timing activities and management history of the sites. 'Yield Parameters' contain yield harvesting parameters (yield) of OPV and Hybrid set of trials. 'Grain Yield Data summary' gives the summary statistics of grain yield across the six treatments for both OPV and Hybrid set of trials.'Data History' describe the historical changes and exchange in the raw dataset. More details can be requested.
This dataset consists of Result of stover or straw nutrient analysis for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B) . The dataset is divided into six sheets; Metadata, variable, Sites information, Raw Data, Data Summary and Data History. 'Metadata' give summary description of the dataset. 'Variables' give the name, unit, description and method of determination of the variables in the dataset. 'Site information' gives description of the study and sampling sites, 'Raw Data' contain the raw dataset, Data summary gives the summary statistics of each of measured variable in the raw dataset. And 'Data History' describe the historical changes and exchange in the raw dataset
This dataset consists of result of NOT for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B). The dataset is divided into eight sheets; Metadata, Variable, Sites information, Timing Parameters, Yield Parameters, Grain Yield Data Summary and Data History. 'Metadata' give summary description of the dataset. 'Variables' give the name, unit, description and method of determination of the variables in the dataset. 'Site information' gives description of the study and sampling sites. 'Timing Parameters' contain the data for various agronomic timing activities and management history of the sites. 'Yield Parameters' contain yield harvesting parameters (yield) of both OPV and Hybrid set of trials.'Grain Yield Data summary' gives the summary statistics of grain yield across the six treatments for both OPV and Hybrid set of trials. 'Data History' describe the historical changes and exchange in the raw dataset. Fall army warm infestation rating scale (Located In Yield Parameters Sheet): 1= 0-10% of the plants in the plot affected, 2= 11-25% of the plants in the plot affected, 3= 26-50% of the plants in the plot affected, 4= 51-75% of the plants in the plot affected, 5= 76-100% of the plants in the plot affected.
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.
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.
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.
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.
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.
The Soil and Terrain database for South Africa primary data (version 1.0), at scale 1:1 million (SOTER_South_Africa), was compiled of enhanced soil information within the framework of the FAO's program Land Degradation Assessment in Drylands (LADA). Primary soil and terrain data for South Africa were obtained from the SOTERSAF database (ver. 1) at scale 1:2 million. This version of SOTER_South_Africa includes some changes in the GIS file, based on the SRTM-DEM derived data and a changes of the attributes database. SOTER 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.
