MELDATA (International Center for Agricultural Research in the Dry Areas)
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Statistics on Animal Production in Tunisia
No full textIn this dataset animal production aspects are collected in order to monitor the trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QA) and Statistiques Tunisie (http://www.ins.tn/en/themes/agriculture). The period considered is from the year 1996 to 2014
FIGS_ICBW_StemRust_2017
No full textThe FIGSICBWStemRust2017 FIGS set was constructed using evaluation data from more than 5000 bread wheat accessions in Yemen during 2008 and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using WorldClim data. The metrics from the machine learning were high (Accuracy = 0.82 and Kappa = 0.58). 210 accessions were then selected based on higher predictive probability. FIGSICBWStemRust2017 is the name of the FIGS subset including the crop, trait name and the year of construction
FIGS_ICDW_Scab_2017
No full textThe FIGSICDWScab2017 FIGS set was constructed using evaluation data from more than 5590 durum wheat accessions and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using daily climatic data aligned to onset to capture durum wheat physiological stage. The metrics from the machine learning were medium to high (Accuracy = 0.75 and Kappa = 0.35). 210 accessions were then selected based on higher predictive probability. FIGSICDWScab2017 is the name of the FIGS subset including the crop, trait name and the year of construction
FIGS_ILL_Drought_2017
No full textThe low temperature FIGS set contains 147 lentil accessions. This set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). Annual and monthly temperature, precipitation and aridity were used in the process. We applied a filtering approach by using a threshold to select environments that are likely to have imposed a selection pressure for low temperature tolerance on in situ populations over time. Furthermore, WorldClim data was used to maximize the climatic diversity within this set. FIGSILLDrought2017 is the name of the FIGS subset including the crop, trait name and the year of construction
List of water ponds and earth dams built within the Badia Restoration Program until 2015 - CAP database, Jordan, 2016 - Data from: BRP. 2016. Cap projects, implementers and achievements. BRP Focal Point report
No full textThe dataset contains a list of 53 water harvesting interventions (water ponds and earth dams) implemented by the Badia Restoration Program (BRP) until 2015. The dataset includes also some notes form ICARDA-UNIFI, that tried to validate the data using satelite images during 2017
Agricultural water productivity for irrigated areas in 2008
No full textThe dataset contains one of the layers produced for “Supporting Coordination and Cooperation in Water Management in the Euphrates and Tigris Area CPET” project. The project aims to assess the status of water use in agriculture in the Euphrates-Tigress basin, determine and map the agricultural water productivity and identify options for improving it in problem areas of the basin in Turkey, Syria and Iraq. Agricultural Water Productivity (WPM) (kg/m3) was determined for each pixel by dividing crop productivity (kg/ha) raster layer by seasonal crop water use in terms of actual evapotranspiration (m3/ha) raster layer. The WPM was for 2008, which was dry year and hence considered a deficit period based on the annual mean precipitation data at the basin level estimated by SIWI. The irrigated areas were determined based on IWMI’s irrigated and rainfed area mapping procedures
Integrated Pest management (IPM) of Insect Pests - Selection for resistance to Spring Chickpea leafminer 2001
No full textThis dataset includes data on the selection for resistance to Spring Chickpea leafminer L.M (F3) in the year 2001. The Observations tab provides information on the alpha-numeric codes used to describe each progeny. The Cross_Structure tab provides data on the location and parentage of each cross. All data for each cross with corresponding observations and selections are seperated in individual tabs by the cross number
2017 ICARDA Barley Net Form and Spot Blotch FIGS Subset
No full textThe FIGSICBNetFormSpotBlotch2017 set was constructed using evaluation data from more than 875 Barley accessions (http://dx.doi.org/10.1094/PHYTO-04-14-0107-R) and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using daily climatic data aligned to onset to capture durum wheat physiological stage. The metrics from the machine learning were medium to high (Accuracy = 0.70 and Kappa = 0.25). 200 accessions were then selected based on higher predictive probability. FIGS_ICB_NetFormSpotBlotch_2017 is the name of the FIGS subset including the crop, trait name and the year of construction
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016
No full textRunoff data collected from four runoff plots in 2016. Data collected after each rainfall event. The data used to evaluate the model results. The model used is the Rangeland Hydrological and Erosion Model (RHEM)
The Relevance of Rest Periods in Rangeland Management for Biomass Rehabilitation in Tataouine, Tunisia, Spring 2017
No full textField visits were carried out during March 2017 and allowed to identify and classify the sites subjected to rest according to the land tenure system and age of the implementation of the technique. During these visits, the main plant communities of the protected rangeland as well as the open grazing sites to be used as control were characterized and the existing plant communities based on the dominant species were identified and delimited. A total of seven sites in southern Tunisia (Chenini community-Tataouine) covering 10600 ha including 5 private rangelands and one communal in addition to the freely grazed site which considered as control were retained for detailed monitoring-assessment study. The vegetation type is mostly consisting of different degraded stages of Stipa tenacissima in the private lands and three main dominant plant communities in the collective lands. In both within the rested sites and the open grazing one (control), experimental plots were established for collecting data on plant cover attributes and biomass production. Once the experimental plots selected, 3 permanent transects of 50 m long each, were established in the different representative plant communities of the target rangeland site and used to determine plant cover parameters according to the points-quadrats method described by Daget and Poissonet (1971). This data could be one of the tools to examine the impact and potential of traditional best practices for rangeland restoration on regeneration and the persistence of plant species by monitoring the evolution of specific characters (global plant cover, specific frequencies, flora richness and the plant density, biomass, rangeland production, and carrying capacity). The state of the soil surface (wind veil, crust, stones, litter) is also studied to monitor and assess changes of soil structure. Both in the rested area and its respective control, biomass production permitting the estimation of the carrying capacity is determined. The first measurement campaign was experiment was conducted during spring, April 2017 (initial state). In each sampling plot, annual plants densities were measured by counting species individuals inside randomly established 5 quadrats with 1 square meter area each. However, the density of perennial plants consisted of counting the number of each species tuft within 5 quadrats of 20 square meters area each