Crop Data Included in the Database

The purpose of the ILSI Crop Composition Database (ILSI-CCDB) is to provide information regarding the natural variability of nutritional composition in non-genetically engineered (also referred to as non-genetically modified) varieties of crops. The database contains 1,245,597 data points representing 212 compositional components (analytes) in apple, canola (Brassica napus), field corn (Zea mays), sweet corn (Zea mays), cotton (Gossypium hirsutum), potato (Solanum tuberosum), rice (Oryza sativa), sorghum (Sorghum bicolor) and soybean (Glycine max).

Data are derived from samples of numerous crop varieties from multiple seasons and were produced in controlled field trials using standard commercial practices at various locations throughout the world. A search of the database allows the user to generate mean levels and ranges of nutritional components in various crop species. Environmental factors such as soil type and temperature may impact the levels of important nutrients in plants, and the moisture content can vary based on field conditions at harvest and during sample handling. Therefore, the database includes features that allow the user to retrieve a subset of data for samples produced in a specific year or location. Additionally, the analyte search filter can be applied to retrieve a pre-determined subset of data (e.g. moisture less than 20%).