This is an interactive potato variety database that allows researchers and end-users to access and obtain potato variety trial results in one centralized site. It was developed primarily for scientists interested in potato variety development, growers, and allied industry members. The database is populated with the results of potato variety trials conducted in eight states (Florida, Maine, New Jersey, New York, North Carolina, Ohio, Pennsylvania, and Virginia) and two Canadian provinces (Prince Edward Island and Quebec). New potato varieties are needed in the East to serve a wide range of markets including fresh market, chipping, French fry processing, and seed industries. However, developing new high quality, pest resistant potato varieties adapted to broad geographic regions or specifically suited for new niche markets is no small task. In today's economic climate these efforts increasingly require a multi-disciplinary, regionalized approach to meet tomorrow's demands.

The Eastern Potato Variety Development team is composed of breeders, molecular biologists, cultural management specialists, plant pathologists, entomologists and extension specialists from over 8 states and 2 Canadian provinces. The overall goal is to develop an array of attractive, high yielding, disease- and insect- resistant, table-stock, processing and/or specialty-type potato varieties that can be employed by potato producers in the eastern United States.

The database currently contains over 35 data features and was developed primarily for scientists interested in potato variety development, growers, and allied industry members. Data points that can be selected include: Released varieties, Tuber Color, End Use. Vine Maturity, Specific Gravity, Appearance Score, Year Evaluated, many Primary Harvest Data categories (yield by hundredweight, shape, texture, color), Defects categories, Plant Maturity, Number of Replications, Days to Harvest, Total Rainfall, Parents, Degree Days, and Expected Use. This is a project sponsored by U.S. Department of Agriculture, Cooperative State Research, Education, and Extension Service (USDA-CSREES) Resources in this dataset:Resource Title: Eastern Potato Variety Development Database, NE1731 Project. File Name: Web Page, url: https://neproject.medius.re/ Current dataset curated by medius.re

Eastern Potato Variety Development team has developed an interactive potato variety database that allows researchers and end-users to access and obtain potato variety trial results in one centralized site. The database is populated with the results of potato variety trials conducted in eight states (Florida, Maine, New Jersey, New York, North Carolina, Ohio, Pennsylvania, and Virginia) and two Canadian provinces (Prince Edward Island and Quebec). It currently contains over 35 data features and was developed primarily for scientists interested in potato variety development, growers, and allied industry members.

Potatoes fell to 10.50 EUR/100KG on July 15, 2025, down 4.55% from the previous day. Over the past month, Potatoes's price has fallen 33.12%, and is down 71.77% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Potatoes.

Two datasets in the EOS-WEBSTER US County Data Collection provide county-level data for crop acreage, production and yield statistics. Crop data for 22 different field crops were acquired from the National Agricultural Statistical Service (NASS) for 1972 through 1998. One dataset provides data for individual varieties/types of each crop while the second dataset provides summary data by crop only. Data can be subset by irrigated and non-irrigated areas. Sucrose content, where applicable, is also included.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

 US County Data Datasets:

 1) Agricultural Management
 2) Crop Data (NASS Crop data)
 3) Crop Summary (NASS Crop data)
 4) Geography and Population
 5) Land Use
 6) Livestock Populations
 7) Soil Properties

Important Note: This item is in mature support as of April 2025 and will be retired in December 2026. New data is available for your use directly from the Authoritative Provider. Esri recommends accessing the data from the source provider as soon as possible as our service will not longer be available after December 2026. Sweet potato(Ipomoea batatas) and Yam (Dioscoreaspp.) are unrelated species that are important root crops in the developing world.About 40% of the world"s sweet potatoes are grown in Africa. Sweet potatoes can be grown in areas with poor soils using few inputs. Unganda, Nigeria and Tanzania are all important producers. Yams are an important food particularly inNigeria, Cote d’Ivoire, Ghana and Benin where millions of people rely on this staple. Dataset Summary This layer provides access to a5 arc-minute(approximately 10 km at the equator)cell-sized raster of the 1999-2001 annual average area ofsweet potato and yam harvested in Africa. The data are in units of hectares/grid cell. TheSPAM 2000 v3.0.6 data used to create this layerwere produced by theInternational Food Policy Research Institutein 2012.This dataset was created by spatially disaggregating national and sub-national harvest datausing theSpatial Production Allocation Model. For more information about this dataset and the importance of sweet potato and yam as a staple foods see theHarvest Choice webpage. For data on other agricultural species in Africa see these layers:Cassava Groundnut (Peanut) Maize (Corn) Millet Potato Rice SorghumWheat Data for important agricultural crops in South America are availablehere. What can you do with this layer? This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. This layer hasquery,identify, andexportimage services available. This layer is restricted to a maximum area of 24,000 x 24,000 pixelswhich allows access to the full dataset. The source data for this layer are availablehere. This layer is part of a larger collection oflandscape layersthat you can use to perform a wide variety of mapping and analysis tasks. TheLiving Atlas of the Worldprovides an easy way to explore the landscape layers and many otherbeautiful and authoritative maps on hundreds of topics. Geonetis a good resource for learning more aboutlandscape layers and the Living Atlas of the World. To get started follow these links: Landscape Layers - a reintroductionLiving Atlas Discussion Group