Data from this project focuses on the evaluation of breeding lines. These breeding lines, derived from 109 PIC populations specifically developed to combine abiotic and biotic stress tolerance, showed superior agronomic potential compared with checks and local landraces. The diversity, scale, and potential of the material in the PIC breeding pipeline is invaluable and requires continued support to ensure the release of varieties that promise to increase the productivity of common bean in the E. African region. Data available includes databases, spreadsheets, and images related to the project.
This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
This site provides interactive access to data from NASS, as part of a cooperative effort among USDA, the USDA Regional Pest Management Centers and the NSF Center for Integrated Pest Management (CIPM). All data available have been previously published by NASS and have been consolidated at the state level.
GrainGenes is a popular repository for information about genetic maps, mapping probes and primers, genes, alleles and QTLs for the following crops: wheat, barley, rye and oat. Documentation includes such data as primer sequences, polymorphism descriptions, genotype and trait scoring data, experimental protocols used, and photographs of marker polymorphisms, disease symptoms and mutant phenotypes. These data, curated with the help of many members of the research community, are integrated with sequence and bibliographic records selected from external databases and results of BLAST searches of the ESTs.
Four-year (2008-2011) drip irrigated corn field experiment in Greeley, Colorado. Irrigation treatments vary from 40% to 100% of ET. This treatment means the dataset used in the RZWQM2 model is part of an Agricultural Model Intercomparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data.
Four-year rainfed corn field experiment in Ames, Iowa. This dataset is part of an Agricultural Model Intercomparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data.
Data from: Greenhouse gas emissions from milk production and consumption in the United States: A cradle-to-grave life cycle assessment circa 2008
This carbon footprint study for fluid milk was commissioned in order to identify where the industry can innovate to reduce greenhouse gas (GHG) emissions across the supply chain.