Organic Beef Data from Integration of Crops and Livestock Project

As the organic forage-finished beef industry continues to grow, it is important to understand factors that affect meat quality, characteristics of beef that influence human health, and sensory attributes of cooked beef. Research on alternative breeds and forage types that influence meat quality, FA and AA profiles, and sensory attributes in an organic forage-finished production system, as well as comparisons with alternative breeds is lacking. Data release is part of data management plan with USDA-NIFA funding. Data is from organic dairy beef steers collected at the West Central Research and Outreach Center, Morris, MN.

photo of cows

Integrated Farm System Model (IFSM)

The Integrated Farm System Model (IFSM) is a process-based simulation of dairy, beef, and crop farming systems. This whole farm model provides a tool for evaluating the long term performance, economics, and environmental impacts of production systems over many years of weather.

Agroecosystems & Environment

NUOnet (Nutrient Use and Outcome Network) database

The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

Agroecosystems & Environment

USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal

The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format.  

Agricultural Products