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Monday, November 24, 2008

Survey of Beef Production Traceability Articles

The recent events that have raised concern over the safety of the American food supply have led many to ask where the food in grocery stores originates. Beef is one of the major food products grown, raised, and processed in the United States. Reports in recent years of animal mistreatment and Bovine Spongiform Encephalopathy (BSE) in 2003 have focused many people on the need for tracing the source of beef products. The US Department of Agriculture (USDA) along with Congress has developed a set of procedures to trace animal origins. This includes the National Animal Identification System (NAIS) and Country of Origin Labeling (COOL). This paper will compare multiple sources that relate to the topic of traceability in the beef cattle production industry and how they relate to the NAIS and COOL programs.

In “Economic Benefits of Animal Tracing in the Cattle Production Sector” and “Post-slaughter Traceability” Levan Elbakidze and G.C. Smith et al., respectively, explain the need for traceability in the beef industry. Elbakidze focuses on the benefits of a tracking system in the cattle production sector while Smith et al. focus on the need for such a system in the post-slaughter sector. Both identify the aspects needed for a functional system as benefiting and motivating producer and processor participation.

Elbakidze identifies four motives for producers to establish an animal identification and tracking system “First, traceability could be used to prevent theft or loss. Second, enhanced record keeping would facilitate the identification of animals with superior genetics in terms of their productivity. Third, certain traceability systems could make it possible for credence attributes to become observable. Fourth, traceability would allow for tracking and identifying potentially unhealthy animals; thereby enhancing efficiency of control and eradication of livestock diseases” (170-1).

As Elbakidze focuses on the implementation of a traceability program, he finds that the benefits would come from “minimizing expected losses to cattle producers from a potential animal disease outbreak” (172). He also recognizes that the efficiency of implementation would rely on four factors: “the likelihood of disease introduction, disease spread rate, effectiveness of a program, and costs and effectiveness of any alternative mitigation options.” Elbakidze identifies the “merit of the NAIS [as one that allows] for the timely tracking of the diagnosed and exposed animal to their origins” (171).

Smith et al. present similar motives for animal identification, adding that an effective system must be efficient, economical, come with easy verification, and are accurate, precise, repeatable, cost-effective, and have a high read rate (67). Smith et al. acknowledge that tracing post slaughter in small packinghouses is obtainable, but will be much more difficult in larger packinghouses, due to the high volume of these houses, without the use of DNA-fingerprinting (73). At the same time Smith et al. recognize that DNA-fingerprinting cannot be used to identify cattle as “organic, natural, grass-fed, or hormone and antibiotic-free…or identify sources of Bovine Spongiform Encephalopathy (BSE)” (68).

Radio Frequency Identification (RFID) is a form of technology referred to when discussing animal tracing. Dennis E. Brown addresses this in a section of his book, “RFID Implementation,” as do Edmund W. Schuster, Stuart J. Allen, and David L. Brock in their book, “Global RFID.” Brown and Schuster, Allen, and Brock approach RFID as a sensible technology to use in animal tracing.

Brown identifies the aspects of the NAIS program that would benefit from the use of RIFD; including the use of an Animal Identification Number (AIN) that will associate an individual animal with any premises it has been on through a Premise Identification Number (PIN) (160). Brown explains the role RFID can have in AIN and PIN identification and mentions the obstacle of cost of implementation. He states, “The USDA has indicated that they will not pay for the tagging or the database, and producers are concerned that consumers will resist this increase in their costs” (161).

Schuster, Allen, and Brock take a different approach to the application of RIFD technology to animal tracking by distinguishing the positive functions of food traceability for different groups. “Food traceability [benefits include] identification of the origin of contaminated food (public safety), the limitation of liability in the event of disease outbreak (business), and information about inferred physical quality characteristics (consumers)” (120). Schuster, Allen, and Brock use an example of technology that includes placing an RFID chip subcutaneously in animals to trace “origin, location, and health status of animals” (124). Also mentioned is the Verified Electronically ID Source and Age Program (VESA); recommended by Northern Livestock Video of Montana. This system requires little investment by the producer and is relatively easy to implement into the cattle herd (124-5).

The development of electronic identification for cattle is becoming a large part of animal traceability and there are several scientists studying the development of ruminal transponders. C. Antonini et al. and G. Caja et al. are investigating the use of electronic transponders as a means of animal traceability. Both groups agree that electronic transponders encased in a ruminal bolus are effective ways of tracking animal identification (Caja 60; Antonini 3136-7). The effect on animal digestion and overall performance was the central focus of each study, but each had a separate focus as well.

Caja et al. evaluated the effect the size of the ruminal bolus has on retention rates, as well as performance effects in animals. Caja et al. cites “the low tenure of the bolus in the fore-stomachs of the ruminants” as the cause of the bolus receiving little attention as a carrier for electronic transponders (46). Through the tests conducted that the retention rates of boluses carrying the transponders is greater than 98.8 percent. There were no significant effects on the reproductive or overall performance on animals in the test (60-61). The difference between the two tests is that Caja et al. focused on the proportionate size of the bolus in comparison to the size of the animal’s reticulum and rumen.

Antonini et al. also studied the use of ruminal boluses equipped with ruminal transponders, but the focus of their study was the long-term effects on “health and performance of cattle over a two year period, patterns of reticulorumenal motility, and in vitro growth and metabolism of bacterial populations” in the rumen. In this study, only one size of bolus was used, in comparison to the study of Caja et al (3134). Antonini et al. found that the bolus had no effect on milk yield, milk fat and protein yields, or reproductive traits. There was an increase in conception rates in the treated cows (3136). Body weight of bulls and mortality were unaffected, but there was a “lower number of chewing movements” and a “greater frequency of regurgitations.” For the most part the boluses were retrieved from the reticulum of the cattle postmortem. Antonini et al. did find that there were select instances where the boluses had left “clear marks [on] the reticulum mucosa.” In vivo studies showed that there were “greater bacterial concentrations” and propionic and butyrate acid proportions increased with prolonged exposure to electromagnetic fields (3137). Antonini et al. conclude that the ruminal bolus did not have an overall effect of performance and reproductive traits, but changes in rumen behavior and bacterial growth did occur. Antonini et al. do acknowledge that it is not known if the changes in bacterial growth would occur under normal pasture conditions, seeing that the test included extremely prolonged periods under electromagnetic conditions (3141).

M. Klindtworth et al. are also in the research field of electronic transponders. In their study “Electronic Identification of Cattle with Injectable Transponders,” Klindtworth et al. surveyed recent studies to find the most suitable injection site for electronic transponders. There are several considerations when selecting an injection site: “the injection procedure, the risk of damaging essential organs, mechanical load on the transponder inside the animal, use for process automation, loss and failure rate, and removal in the slaughterline.” There have been previous studies testing injection sites around the anus, but many have found that transponders could not be recovered at the time of slaughter. Studies have also tested areas around the kneefold, armpit, forehead, and face, but all have shown complications with breaking, loss, or difficulty of recovery (66). Klindtworth et al. concludes that the optimal injection site is the scutulum tissue on cranial side of the ear; specifically the corpus adiposum auriculare. This “combination of fat and cartilage provides a secure mechanical protection of the transponder” (67). Klindtworth outlines implanting steps and gives various examples of instruments available for ear implanting (69-71).

Several factors determine the readability of a transponder including the kind of transponder, antenna quality and size, strength of the electromagnetic field, positioning and orientation, and external noise. Klindtworth et al. suggest that transponders should be readable at 30-80 cm with proper injection and position and failure rates can be limited to less than one percent (78).


Works Cited

Antonini, C.M. et al. “In Vivo Mechanical and In Vitro Electromagnetic Side-effects of a Ruminal Transponder in Cattle.” Journal of Animal Science 84 (2006): 3133-42. Print.

Brown, Dennis E. RFID Implementation. New York: McGraw-Hill, 2007. Print.

Caja, G. et al. “Development of a Ceramic Bolus for the Permanent Electronic Identification of Sheep, Goat and Cattle.” Computers and Electronics in Agriculture 24 (1999): 45-63. Print.

Elbakidze, Levan. “Economic Benefits of Animal Tracing in the Cattle Production Sector.” Journal of Agriculture and Resource Economics 32.1 (2007): 169-80. Print.

Klindtworth, M. et al. “Electronic Identification of Cattle with Injectable Transponders.” Computers and Electronics in Agriculture 24 (1999): 65-79. Print.

Schuster, Edmund W., Stuart J. Allen, and David L. Brock. Global RFID: The Value of the EPCglobal Network for Supply Chain Management. New York: Springer, 2007. Print.

Smith, G.C. et al. “Post-slaughter Traceability.” Meat Science 80 (2008): 66-74. Print.

Individual Cattle Identification: An Annotated Bibliography

Antonini, C.M. et al. “In Vivo Mechanical and In Vitro Electromagnetic Side-effects of a Ruminal Transponder in Cattle.” Journal of Animal Science 84. (2006): 3133-42. Print.

In this experiment, Italian animal scientists researched the effects of using runimal transponders for identification purposes in cattle. The emphasis of the research was placed on the effects of the transponder on “health and performance of cattle over a two year period, patterns of reticulorumenal motility, and in vitro growth and metabolism of bacterial populations in the rumen exposed to an electromagnetic field induced by prolonged transponder activation” (3134). There were no major influences on milk production, reproductive traits, body weight gain, or mortality. There were, however, slight affects on conception rates, chewing movements, and regurgitations. There were also effects on pH values in vitro and ruminal mucosa. This study is of great assistance for those with an interest and understanding of ruminant physiology and digestion.

Black, J.L., G.T. Davies, and J.F. Fleming. “Role of Computer Simulation in the Application of Knowledge to Animal Industries.” Australian Journal of Agricultural Research 44.3. (1993): 541-55. Print.

This paper discusses the application and accuracy of computer models used in the livestock industry. The purpose of this research is to “outline the computer simulation procedure, to indicate the features of a system that assist its adoption by industry and to illustrate how one computer program can be used to improve” the management of an Australian piggery (542). A feed efficiency test for pigs on three different finisher diets was used to measure the accuracy and application of the computer models. The results show that computer models are successful for use in “accounting and for recording herd statistics” (553), but use of a full animal model would lead to greater accuracy. This research is moderately easy to understand for those with an interest in technical management of livestock operations.

Brown, Dennis E. RFID Implementation. New York: McGraw-Hill, 2007. Print.

This book discusses the implementation of Radio Frequency Identification Devices, also known as RFID. Section 5.2.1.9 discusses the application of this technology to animal industries. The United States Department of Agriculture (USDA) has implemented a program for organized identification procedures: National Animal Identification System (NAIS). This system includes identification programs for livestock species and “specifies two numbering systems: a Premises Identification Number (PIN) and an individual Animal Identification Number (AIN)” (160). The USDA has also implemented identification programs for companion animals. The section identifies obstacles of the programs including the cost of implementation. This is a good reference for those not familiar with animal terminology, wanting to learn more about RFID.

Caja, G. et al. “Development of a Ceramic Bolus for the Permanent Electronic Identification of Sheep, Goat and Cattle.” Computers and Electronics in Agriculture 24. (1999): 45-63. Print.

This research investigates the use of a ceramic bolus for electronic identification for a number of ruminants (sheep, goat, and cattle). The goal of the study was “the evaluation of the retention rate in the animal body and the study of digestive and performance effects of the application of a new ceramic bolus in sheep, goats, and cattle, at different ages and under different exploitation conditions” (46). This is a follow up study to previous work completed by Caja et al. This research found that retention rates for the bolus were successful and the ceramic bolus had no negative effects on the test animals. This is a good resource for those familiar with ruminant physiology.

Elbakidze, Levan. “Economic Benefits of Animal Tracing in the Cattle Production Sector.” Journal of Agriculture and Resource Economics 32.1. (2007): 169-80. Print.

This resource addresses the advantages and drawbacks of animal tracing systems as related to “animal disease management” (169). The purpose of this research is “to demonstrate the benefits of an animal tracking system to cattle producers under the possible outbreak of an infectious animal disease” (171). The application of the results relies on real-world factors such as contact rates and the effectiveness of the response. This study found that the use of an organized identification system would greatly reduce the economic losses for industry producers in the occurrence of a major animal disease outbreak. This is a good source for those interested in livestock identification applications and provides easy reading for those with little knowledge of the subject.

Klindtworth, M. et al. “Electronic Identification of Cattle with Injectable Transponders.” Computers and Electronics in Agriculture 24. (1999): 65-79. Print.

This article searches current studies to identify the best form of electronic identification for use in cattle and the best location for application. The need for an easy application and long lasting identification are important to an applicable transponder. The research found the prime location for injection of a transponder to be at the scutulum cartilage, which is located on the cranial base of the ear. The research found that this area provides for ease of application, and longevity of the transponder. The article is a good resource for those interested in animal identification and provides easy reading for those with little knowledge of the subject.

Rickert, K.G. “Modeling Beef Cattle Production to Improve Quality.” Meat Processing: Improving Quality. Ed. Joseph Kerry, John Kerry, and David Ledward. Cambridge: Woodhead Publishing Limited, 2002. 239-58. Print.

This article recognizes that fact that there is a need for an accurate computer model to assist in cattle operation management. It also acknowledges that any such model must include the many factors that affect cattle production; “interactions between the physical environment, financial environment, management, feed supply, and animal reproduction and growth” (239). The author identifies the element, challenges, and variations that will change the application of computer models to cattle production. There are many advances to be made with more information and technology available on the internet. This article is very useful for those that have an understanding of cattle production management and want to learn more on the technicality of cattle management.

Scanga, J.A. et al. “Development of Computational Models for the Purpose of Conducting Individual Livestock and Premises Traceback Investigations Utilizing National Animal Identification System-compliant Data.” Journal of Animal Science 85. (2007): 503-11. Print.

This article identifies the aspects of computer models for investigations of animal traceback. The target of this research was to recognize technology “capable of conducting accurate and rapid traceback and traceforward on extremely large datasets that contain NAIS-compliant data.” The focus of the study was to “narrow the forty-eight hour window for animal identification” that is pointed out in NAIS specifications (504). The results showed that with a compliant system it is possible to perform a traceback on selected animals and to identify comingling animals. Many specifications of the system need to be modified to include the variables that occur in a real-world application. This article is a useful for those with an understanding of the cattle industry and the process of animal identification.

Schuster, Edmund W., Stuart J. Allen, and David L. Brock. Global RFID: The Value of the EPCglobal Network for Supply Chain Management. New York: Springer, 2007. Print.

Chapter nine of this text focuses on animal tracking systems using RFID technology as a solution. The authors identify the need for an organized animal identification system that has the ability to traceback animal origins and comingling animals within a forty-eight hour period. The single U.S. case of “Mad Cow Disease”, also known as Bovine Spongiform Encephalopathy (BSE) from December 2003 is used as an example of the need for such a system (122-3). The authors determine the use of RFID technology in a traceback system will greatly increase the efficacy of the traceback. This is a good source on the use of RFID technology and provides easy reading for those with little knowledge of the subject.

Tedeschi, L.O. et al. “Identifying Differences in Feed Efficiency Among Group-fed Cattle.” Journal of Animal Science 84. (2006): 767-76. Print.

The objective of this research was to “evaluate indicators of feed efficiency in young growing beef cattle” and “identify differences in feed efficiency” (768). The feed efficiency of cattle has applications to breeding and cattle growing programs. This research indentified the several factors that go into feed efficiency and concluded that the use of models that include “the primary variables that influence energy requirements” can be applied to selecting genetic differences in cattle feed efficiency. The article identifies the fact that improvements in the model can be made to include better measurements on weight, average daily gain, and maintenance requirements of cattle. This resource is directed toward individuals who have an understanding of ruminant nutrition.