Currently, there are inaccuracies in the energy use and greenhouse gas emission estimates of cattle transport reported by LCA studies because of their simplistic assumptions. The purpose of this database is to provide the necessary data for accurate estimation of the energy use and greenhouse gas emissions associated with cattle transport. The database has 28 different trailers under three categories namely pot belly, gooseneck, and bumper pull. It describes space available (length and width), maximum weight allowed in the trailer, along with a compatible vehicle that can haul the trailer. Gross vehicle weight, maximum payload allowed, and fuel use are available for the compatible vehicle. Using this database one can directly identify the number of cattle of a particular weight category that can be transported in a particular trailer-vehicle combination. This database also helps to identify economical and eco-friendly ways to transport cattle.
SPUR2 DOS ver. 2.2 is a general grassland ecosystem simulation model designed to determine beef cattle performance and production by simultaneously simulating production of up to 15 plant species on 36 heterogeneous grassland sites. SPUR2 simulates grassland hydrology, nitrogen cycling, and soil organic matter on grazed ecosystems as well as rangeland production under different climatic regimes, environmental conditions, and management alternatives.
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.
Feed and Ingredient Information is presented as Tables of chemical composition and nutritional value for an extensive list of feed nutrient constituents. The tables include Nutrient, Mean, Number of Samples (n), Standard Deviation (SD), Coefficient of Variation (CV), and Min / Max values for Energy…