Crop Data Included in the CCDB

The purpose of the AFSI Crop Composition Database (AFSI 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 1,373,198 data points representing 223 compositional components (analytes) in apple (Malus domestica), canola (Brassica napus), field corn (Zea mays), sweet corn (Zea mays), cotton (Gossypium hirsutum), mustard (Brassica juncea), potato (Solanum tuberosum), rice (Oryza sativa), sorghum (Sorghum bicolor), soybean (Glycine max), strawberry (Fragaria ananassa), sugar beet (Beta vulgaris), and sugarcane (Saccharaum officinarum).

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.