rnassqs: An R package to access agricultural data via the USDA National Agricultural Statistics Service (USDA-NASS) ‘Quick Stats’ API

Charting the Road Map for Long-Term USDA Efforts in Agricultural Animal Genomics: Summary of the USDA Animal Genomics

Agricultural animal research has been immensely successful over the past century in developing technology and methodologies that have dramatically enhanced production efficiency of the beef, dairy, swine, poultry, sheep, and aquaculture industries. Most of this research effort has been conducted within the broad disciplines of genetics, physiology, and nutrition, but has become increasingly nar...

Usda Forest Service

USDA Forest Service

Wildland fire is an important disturbance agent in the western US and globally. However, the natural role of fire has been disrupted in many regions due to the influence of human activities, which have the potential to either exclude or promote fire, resulting in a ‘‘fire deficit’’ or ‘‘fire surplus’’, respectively. In this study, we developed a model of expected area burned for the western US ...

Big interdisciplinarity to address climate change and agriculture: Lessons from three USDA Coordinated Agricultural Projects

Sanford D. Eigenbrode is a professor of entomology and director of Regional Approaches to Climate Change for Pacific Northwest Agriculture, University of Idaho, Moscow, Idaho. Lois Wright Morton is a professor of sociology and director of Climate and Corn-based Cropping Systems Coordinated Agricultural Project, College of Agriculture and Life Sciences, Iowa State University, Ames, Iowa. Timothy...

Data Warehousing and Decision Support at the National Agricultural Statistics Service

Easy access to large collections of historical survey and census data and the associated metadata that describes them has long been the goal of researchers and analysts. Solutions to problems such as understanding the behavior of current survey data, respondent burden, improved statistical techniques, and data quality are often found in the careful analysis of historical data. Many questions ha...