MELDATA (International Center for Agricultural Research in the Dry Areas)
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270 research outputs found
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Soil Born Pathogens Resistant Nursery
No full textThe dataset contains data from the SOIL BORN PATHOGENS RESISTANT NURSERY, as part of the International Nurseries for season 2016 of the International Winter Wheat Improvement Program Nursery data for Winter Facultative Wheat report for 2016. It provides genotypes disease reactions, selections by the breeders who conducted the trials in addition to the yield of the genotypes in the locations tested
23rd Facultative Winter Wheat Observation Nurseries - Irrigation condition (23FAWWON-IRR)
No full textThe dataset contains data from the 23rd Facultative Winter Wheat Observation Nurseries - Irrigation condition (FAWWON-IRR), as part of the International Nursery data for Winter Facultative Wheat report for 2016. The genotypes developed by IWWIP have been tested in multilocations. It provides disease reactions, quality, selections by the breeders who conducted the trials in addition to the yield of the genotypes in the locations tested
Effect of deficit irrigation on growth and yield of onion
No full textFinal dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial (Muuz Gebretsadik). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration
Land Cover Map of Fergana 2013
No full textLand use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2012. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2012. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images (30 m and 6.5 m, respectively pixel size). Land Cover Map of Fergana, 2013 was based on Landsat TM, ETM+, and OLI surface reflectance images (30 m). The average Landsat data availability was 12 images per year from 2004 to 2015
Major Land Use (key crops), 2010
No full textLand use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2010. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2010. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images (30 m and 6.5 m, respectively pixel size). The overall accuracy of this map is 86%
Analyse et synthèse des sous produits - Tunisia 2016
No full textThe dataset contains information about the main by-products from 76 agroindustrial entreprises in Tunisia: their availabilty around the year and the accessibility to the market.
The dataset includes different types of by-products derived from olive, wheat, cactus, fig, tomato and sugar beet
18th International Winter Wheat Trial - Semi Arid condition (18IWWYT-SA)
No full textThe dataset contains data from the 18th International Winter Wheat Yield Trial - Semi Arid condition (IWWYT-SA), as part of the International Nursery data for Winter Facultative Wheat report for 2016. The genotypes developed by IWWIP have been tested in replicated trials in multilocations. It provides disease reactions, quality, selections by the breeders who conducted the trials in addition to the yield of the genotypes in the locations tested
19th International Winter Wheat Yield Trial - Irrigation condition (19IWWYT-IRR)
No full textThe dataset contains data from the 19th International Winter Wheat Yield Trial - Irrigation condition (IWWYT-IRR), as part of the International Nursery data for Winter Facultative Wheat report for 2016. The genotypes developed by IWWIP have been tested in replicated trials in multilocations. It provides disease reactions, quality, selections by the breeders who conducted the trials in addition to the yield of the genotypes in the locations tested
Soil Moisture Records for Different Water Harvesting Treatments, Jordan, 2016/2017
No full textSoil moisture records for the season 2016/2017, at the water benchmark site established in 2005 in Al-Majeddyeh (Abu Askar site). The soil moisture records were taken using the Time Domain Reflectometer (TDR) device. The readings were taken at different depths and for different treatments, inside the Vallerani micro Water Harvesting, in between the Vallerani lines, and inside the continuous contour line. The measurement was executed by local farmers, who were trained and equipped to read out the soil moisture data at different depths. The data were collected through hard copy sheets - entered and analyzed in the office
Water Harvesting and Supplementary Irrigation to improve Green pepper productivity
No full textFinal dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial. Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration