Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
1–10 of 27 datasets
CIMMYT Ethiopia
GWAS identifies common loci under stressed and non-stressed environments.
CIMMYT Ethiopia
The major objectives of this rice crop cuts and survey were to: (i) identify major rice yield determinants in western terai districts of Nepal and (ii) to identify major determinants that describe the variability in rice yield across farms thereby linking with farm characteristics and socio-economic gradients. This study uses Remote Sensing (RS) data particularly the NDVI (Normalized Difference Vegetative Index) value extracted from LandSat satellite images in each of the six districts (Kanchanpur, Kailali, Bardyia, Banke, K apilbastu and Rupendhai). Since the resolution of LandSat satellite was better than MODIS; we used LandSat derived NDVI values to capture the variability in standing green biomass (a proxy for yield) so that sample selected will represent this variability in NDVI values. In each of the districts we saw a normal distribution of NDVI and samples were selected randomly by stratifying the NDVI values into four quartiles of bell curve, so that selected sample will represent proportionally the bell curve quartiles. The study contains several optional modules questions and mandatory modules. The mandatory modules give the broader insights on input uses across farms while the optional module provides better insight on each input uses for example; fertilizer use details, irrigation dynamics, weed management and socio-economics gradients particularly based on income and expenditure of households. The optional module is accompanied by the crop cuts data which was done in three quadrants of each plot wit h 2*2=4 meter square area. The sample size for this survey is 1052 households and 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. Out of the total samples of 1052; a set of (~12%; 126 samples) households participated in optional modules to get the detail data on irrigation dynamics, weed management and socio-economics parameters.
CIMMYT Ethiopia
Conservation agriculture involves reduced tillage, diversification of plant associations, and retention of crop residues to maintain soil cover. However, there is knowledge gap on the appropriate rate of application and interactive effect of residues and nitrogen as in some situations cases of nitrogen lock-up have been reported. This present data set addresses the effects of different nitrogen and residue levels on maize productivity, soil temperature, soil moisture and soil structure in contrasting soil types over 6 seasons. The trials were set across southern Africa i.e. Malawi, Mozambique, Zambia and Zimbabwe. The treatments were as follows: Main treatments: 1. Conventional tillage 2. No-tillage, 0 t/ha residues 3. No-tillage, 2 t/ha residues 4. No-tillage, 4 t/ha residues 5. No-tillage, 6 t/ha residues 6. No-tillage, 8 t/ha residues, Subtreatments: 1. 0 N 2. 30N (200 kg/ha Compound D – 46 kg/ha AN 3. 90N (200 kg/ha Compound D –220 kg/ha AN) The measured attributes are as follows: 1. Maize and grain yields 2. Soil profile temperature 3. Soil profile mositure 4. Normalized difference vegetation index (NDVI)
CIMMYT Ethiopia
The Nepal Crop Type Survey 2022-2023 aims to comprehensively assess and categorize the diverse range of crops cultivated across various regions of Nepal. This survey endeavors to capture the agricultural landscape, identifying predominant crop types, their distribution, and cultivation practices. Objectives of this survey were i) to identify diverse range of crops cultivated across various regions for understanding agricultural diversity within Nepal, ii) to map the crop types by using survey data collected on the ground in combination with high-resolution satellite images (ESRI World Imagery, Venµs and Sentinel-2), and iii) to create a dataset for the winter crops covering most of the Terai region of Nepal.
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 Sinaloa.
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 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 Yaqui Valley.
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 Guanajuato.
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 Chihuahua.
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 Quintana Roo.