scholarly journals Cow-Calf Producer Perceptions Regarding Individual Animal Traceability

2010 ◽  
Vol 42 (4) ◽  
pp. 659-677 ◽  
Author(s):  
Lee L. Schulz ◽  
Glynn T. Tonsor

This study provides valuable insights into cow-calf producer voluntary participation in the National Animal Identification System and producers' perceptions of several issues critically impacting the success of voluntary traceability systems. Cow-calf producers believe that the most important issues to the U.S. beef industry in designing a national, individual animal traceability system are monitoring/managing disease, maintaining current foreign markets, accessing foreign markets, and increasing consumer confidence. Furthermore, producers are concerned with cost, liability, reliability of technology, failure of system to meet stated goals, and confidentiality of information associated with these systems.

2013 ◽  
Vol 93 (1) ◽  
pp. 23-33 ◽  
Author(s):  
P. Barge ◽  
P. Gay ◽  
V. Merlino ◽  
C. Tortia

Barge, P., Gay, P., Merlino, V. and Tortia, C. 2013. Radio frequency identification technologies for livestock management and meat supply chain traceability. Can. J. Anim. Sci. 93: 23–33. Animal electronic identification could be exploited by farmers as an interesting opportunity to increase the efficiency of herd management and traceability. Although radio frequency identification (RFID) solutions for animal identification have already been envisaged, the integration of a RFID traceability system at farm level has to be carried out carefully, considering different aspects (farm type, number and species of animals, barn structure). The tag persistence on the animal after application, the tag-to-tag collisions in the case of many animals contemporarily present in the reading area of the same antenna and the barn layout play determinant roles in system reliability. The goal of this paper is to evaluate the RFID identification system performance and determine the best practice to apply these devices in livestock management. RFID systems were tested both in laboratory, on the farm and in slaughterhouses for the implementation of a traceability system with automatic animal data capture. For this purpose a complete system for animal identification and tracking, accomplishing regulatory compliance as well as supply chain management requirements, has been developed and is described in the paper. Results were encouraging for identification of calves both in farms and slaughterhouses, while in swine breeding, identification was critical for small piglets. In this case, the design of a RFID gate where tag-to-tag collisions are avoided should be envisaged.


2010 ◽  
Vol 42 (3) ◽  
pp. 571-574 ◽  
Author(s):  
Ronald D. Knutson

Although Canada has developed an effective animal identification system, and the provinces are progressing toward a system that has full traceback capabilities, the U.S. and Mexico have made little or no progress. Contemporary U.S. proposals for state initiatives will not work. In the meantime, the U.S. livestock industry will continue to lose markets for its products and has little to no basis for complaining about lost sales and the lack of open markets. Also indentified are relevant economic and political principles that both underlie animal identification systems and the failure to make positive steps forward toward establishing a North American animal identification system.


2010 ◽  
pp. 1343-1360
Author(s):  
Brian D. Neureuther ◽  
George N. Kenyon

Historically, the growth of the beef industry has been hampered by the various entities (breeders, cow-calf producers, stockers, backgrounders) within the beef industry’s supply chain. The primary obstacles to growth are the large number of participants in the upstream partners and the lack of coordination between them. Over the last decade significant advances have been made in information technologies. Many new companies have been founded to promote these technical advances. This research looks at the upstream participants, primarily the buyer agencies and principles between the cow-calf producers and the meat packing companies, to determine the degree to which information technologies are currently being utilized and the degree to which these new technologies have driven improvements within the beef industry’s supply chain. We find through our survey that, by and large, the beef industry does not use information technologies to their benefit and that the U.S. beef supply chain is not yet strategically poised to enable the use of these technologies.


2020 ◽  
Vol 1 ◽  
Author(s):  
Hannah E. Shear ◽  
Dustin L. Pendell

Livestock traceability has increasingly become a focus for the USDA, the National Cattlemen's Beef Association, high-volume beef-exporting states, and other beef industry stakeholders. The focus on traceability within the United States (U.S.) began after several international animal disease outbreaks and continues to be of importance with highly infectious diseases spreading across the globe. Mitigating adverse future disease outbreaks and food safety events, as well as maintaining export markets through a positive international perception of U.S. beef has become a top priority. Implementing a national animal identification (ID) and traceability program would enable the industry to track and reduce the potential losses due to an outbreak or event. However, such a system comes at a cost, mainly to cow-calf producers. This study utilizes a partial equilibrium model to determine the impacts of a beef cattle animal ID and traceability system in the United States. Utilizing an economic model allows us to provide a comparison of how the various beef sectors would need to respond to offset the costs of a national animal ID and traceability program. Assuming no changes in domestic and international demand for U.S. beef, producers at the wholesale, slaughter, and feeder levels lose $475 million, $1,143 million, and $1,291 million, respectively, in a 10-year discounted cumulative producer surplus. A 17.7 and 1.9% increase in international and domestic beef demand would be required to completely offset the producer costs of CattleTrace, respectively.


2010 ◽  
Vol 42 (3) ◽  
pp. 543-550 ◽  
Author(s):  
David P. Anderson

Animal identification has been one of the most contentious issues for the last decade in the livestock industry. More specifically, at issue is the idea of a government-sponsored identification system, although it is unclear that an identification system forced on the industry by the market would be any more popular. Rancor over the issue has set livestock groups at odds over the merits of establishing such a framework; it has highlighted differences between species, within species, and by size and scale of agriculture. Given its politically sensitive nature, many groups without a tie to agriculture have been drawn in to lobby on the issue. This article examines the U.S. experience with the development of an animal identification system.


2020 ◽  
Vol 4 (41) ◽  
pp. 83-87
Author(s):  
ALEKSEY SEDOV ◽  

The Federal scientific Agroengineering center VIM has developed technical tools, algorithms and software for the intelligent automatic control system for milking animals “Stimul” on the “Herringbone” milking unit in three versions. The created system does not include automatic selection gates for effective management of zootechnical and veterinary services of animals. (Research purpose) The research purpose is in developing an intelligent machine for automatic sorting of animals for servicing and managing the herd according to specified characteristics. (Materials and methods) The article presents the development of control and management systems in dairy farming based on the conceptual principles of digital transformation. The digital control system is based on a multifunctional panel controller. The created control unit has a port for connecting to the RS 485 network and provides support for network functions via the Modbus Protocol. The programming of the control unit has been made in the SMLogix tool environment, which supports the FBD function block language. (Results and discussion) The article presents an intelligent machine for automatic sorting of animal flows for servicing and managing the herd according to specified characteristics with the unification of hardware, software modules and interface. The article describes the necessary parameters for the automatic remote animal identification system, the basic component of the control system of an intelligent machine for sorting animals according to specified characteristics. (Conclusions) The machine allows to automatically identify, sort and send animals to the specified areas for individual service.


Author(s):  
C. James Kruse ◽  
Kenneth N. Mitchell ◽  
Patricia K. DiJoseph ◽  
Dong Hun Kang ◽  
David L. Schrank ◽  
...  

The U.S. Army Corps of Engineers (USACE) is responsible for the maintenance of federally authorized navigation channels and associated infrastructure. As such, USACE requires objective performance measures for determining the level of service being provided by the hundreds of maintained navigation projects nationwide. To this end, the U.S. Army Engineer Research and Development Center partnered with Texas A&M Transportation Institute to develop a freight fluidity assessment framework for coastal ports. The goal was to use archival automatic identification system (AIS) data to develop and demonstrate how ports can be objectively compared in relation to fluidity, or the turnaround time reliability of oceangoing vessels. The framework allows USACE to evaluate maintained navigation project conditions alongside port system performance indices, thereby providing insight into questions of required maintained channel dimensions. The freight fluidity concept focuses on supply chain performance measures such as travel time reliability and end-to-end shipping costs. Although there are numerous research efforts underway to implement freight fluidity, this is the first known application to U.S. ports. This paper covers AIS data inputs, quality control, and performance measures development, and also provides a demonstration application of the methodology at the Port of Mobile, Alabama, highlighting travel time and travel time reliability operating statistics for the overall port area. This work provides foundational knowledge to practitioners and port stakeholders looking to improve supply chain performance and is also valuable for researchers interested in the development and application of multimodal freight fluidity performance measures.


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