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Animal Transportation Database for Beef Cattle

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.

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FieldValue
Modified
2019-11-04
Release Date
2019-05-07
Identifier
2b6589e9-7be5-4ca8-ab36-3661db246784
Publisher
Ag Data Commons
License
U.S. Public Domain
Data Dictionary

https://data.nal.usda.gov/dataset/animal-transportation-database-beef-ca...
Contact Name
Kannan, Narayanan
Contact Email
kannan@tarleton.edu
Public Access Level
Public
Extended Metadata: 
FieldValue
Authors
Kannan, Narayanan (ORCID)
Peer Reviewed
No
Intended Use
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.
Use Limitations
Transportation data are available for cattle weights from 67 kg to 815 kg (150 lbs. to 1800 lbs.) only. Animal weight categories in the database are available at 23 kg (50 lbs.) intervals. Weights are rounded to the nearest integer. This database is based on the commonly-used vehicle (8 types) and trailer (3 types) categories.
Funding Sources
National Institute of Food and Agriculture
2012-02355
Primary Article

Kannan, N., Saleh, A., & Osei, E. (2016). Estimation of Energy Consumption and Greenhouse Gas Emissions of Transportation in Beef Cattle Production. Energies, 9(11), 960. https://doi.org/10.3390/en9110960
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1503819
Product Type
Dataset
FieldValue
OSTI Identifier
ISO Topic(s)
biota
environment
farming
State or Territory
United States Of America
National Agricultural Library Thesaurus Term
animal transport
databases
beef cattle
energy
greenhouse gas emissions
life cycle assessment
trailers
fuels
Ag Data Commons Keywords
  • Animals & Livestock
  • Life Cycle Assessment
  • Animals & Livestock
  • Animal production
  • Animals & Livestock
  • Agroecosystems & Environment
  • Management
  • Agricultural Products
  • Animals
  • Meat
  • Cattle
  • Agricultural Products
  • Animals
  • Meat
  • Agricultural Products
  • Animals
  • Agricultural Products

Suggested Citations:

(original article) Kannan, N., Saleh, A., & Osei, E. (2016). Estimation of Energy Consumption and Greenhouse Gas Emissions of Transportation in Beef Cattle Production. Energies, 9(11), 960. https://doi.org/10.3390/en9110960

(dataset) Kannan, Narayanan (2019). Animal Transportation Database for Beef Cattle. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1503819. Accessed 2023-06-09.