This study presents the unimputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.

This study presents the imputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel. The positions in the VCF files have been mapped against version 4 of the maize genome. The imputation was performed using the Beagle software.

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....

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...

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...

This dataset contains information from variety calibration trials in four locations (BUK, Dambatta, Samaru and Lere). The data was collected from two separate sets of experiments. Experiment 1 was under full irrigation conducted from 23rd March to 20th June 2016 across the four locations. Experiment 2 was conducted in the rainy season with supplementary...

This dataset contains information from on-farm validation trials conducted across 30 farmer fields in Local government areas of the northern guinea savanna AEZ in Kano. In each farmer field 10 plots (30 meter square each) were planted with a different combination of early maturing maize (10 varieties) under 3 different sowing densities. Each plot is a...

The file contains on-farm and on-station agronomy data sets generated in Eastern and Southern Africa between 2010 and 2016 under the Sustainable Intensification of Maize-Legume systems in Eastern and Southern Africa (SIMLESA) project. The five countries involved were Ethiopia, Kenya, Tanzania, Malawi and Mozambique. The experimental trials tested the...

This dataset contains information from on-farm validation trials conducted across 30 farmer fields in Local government areas of the sudan savanna AEZ in Kano. In each farmer field 10 plots (30 meter square each) were planted with a different combination of early maturing maize (10 varieties) under 3 different sowing densitie. Each plot is a different...

This dataset consists of community-level variables for 98 communities in northern Nigeria. These data are associated, by location, with the household-level data also collected under the APS (Agronomic Panel Survey) for the same areas and time period.

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 Meher production and inputs in 2016. dataset variables observations characterstics_all_plots_2016 18 2504 production_and_family_labor_meher...

Soil analysis from 0-20 cm and 20-50 cm depths in 140 farmer fields from the in Southern Highlands, Eastern and Northern Zones of Tanzania in 2014/2015.

The dataset was obtained from farmers' fields covered during UAV flight mission at five locations (across 5 LGAs) within the TAMASA's focal states. The number of volunteer farmers are uneven across the LGAs. Five(5) quadrats of 2m X 2m were created within each farmers field for data collection. Data on NDVI, canopy cover and plant height was collected at...

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.

In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a large amount of information and appropriate statistical models to process it,...

Use of remote sensing based radar images for zero tillage detection in Sinaloa (Municipality of Santiago, El Fuerte and Guasave) and Sonora (Municipality of Angostura, Mocorito, Navolato, Culiacan, San Ignacio Rio Muerto, Cajeme, Benito Juarez, Navojoa, Etchojoa), Mexico.

Use of remote sensing based radar images for zero tillage detection in Sinaloa (Municipality of Santiago, El Fuerte and Guasave) and Sonora (Municipality of Angostura, Mocorito, Navolato, Culiacan, San Ignacio Rio Muerto, Cajeme, Benito Juarez, Navojoa, Etchojoa), Mexico.

Use of remote sensing based radar images for zero tillage detection in Sinaloa (Municipality of Santiago, El Fuerte and Guasave), Mexico.

Use of remote sensing based radar images for zero tillage detection in Guanajuato (Municipality of Valle de Santiago, Jaral del Progreso), Mexico.

Use of remote sensing based radar images for zero tillage detection in Sinaloa, Mexico.