Progress 11/18/13 to 09/30/18
Outputs
Target Audience:1) Grain industry management personnel, who can use the information provided to improve the efficiency and safety of their operations 2) Researchers from other disciplines (e.g., engineering, entomology) who can use the economic analysis to improve their ownrecommendations Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Two graduate students (Ph.D.) have been working on this project. One has learned to develop optimization models,quantitatively analyze insect count data, and understand the economic impacts of insect population growth through the use of aninsect growth model and review of entomology and economics literature. The student also learned mathematical modelingtechniques and application of real options theory to problems in insect control.The second student has learned supply chain concepts connected with whole-chain traceability and is adapting traceabilitytechnology to watermelon supply chains. The student has learned applications of optimization and math programming, as well as learning to provide oral presentations to industry personnel. How have the results been disseminated to communities of interest?Presentations on traceability research have been made to industry groups in food safety training workshops, and toagricultural economics, ag engineering, and food safety professionals.Research results on integrated pest management have been presented in professional conferences. What do you plan to do during the next reporting period to accomplish the goals?
Nothing Reported
Impacts
What was accomplished under these goals?
A model and method for identifying optimal time for treatment of insects in a processing facility have been developed. Thismethod quantifies in dollar terms the risk in treating too early (thus conducting too many treatments) and treating too late(incurring excessive damage from insects). The next step in the model's implementation is to provide a decision rule formanagers based on the results of this model. The real option model indicates that the traditional economic threshold is typically not the best time to fumigate a processingfacility. If temperatures are likely headed up (e.g., in the spring), treatment should occur before the "economic threshold," because the insect population is more likely to increase than decrease. If temperatures are likely headed lower (e.g., in the fall),treatment may be safely delayed. The traditional economic threshold model is inadequate when significant variability in conditions exists, but tools such as thereal options approach can provide more accurate signals.
Publications
- Type:
Book Chapters
Status:
Published
Year Published:
2018
Citation:
Kenkel, Phil, and Brian D. Adam. 2018. Economic Theory vs. Reality in Stored Product Management. Chapter 12 in Recent Advances in Stored Product Protection, editors C. G. Athanassiou and F. H. Arthur, published by Springer-Verlag GmbH Germany, part of Springer Nature. https://doi.org/10.1007/978-3-662-56125-6_12. pp. 261-273.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2018
Citation:
Duan, Suling, and Brian D. Adam. 2018. Optimal Timing of Insect Control in Food Processing Facilities: A Real Options Approach. Poster presented at the 2018 Agricultural and Applied Economics Association annual meetings, Washington, D.C, August 5-7. Available at https://ageconsearch.umn.edu/record/274061.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2017
Citation:
Adam, Brian D., and Hannah Stolze. 2017. Whole-Chain Traceability Information Sharing from Farm to Fork and Back Again. Seminar presented at Agricultural and Consumer Economics Dept, U of Illinois at Urbana-Champaign, December 8.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2018
Citation:
Adam, Brian D., Michael Buser, and Mengyu Yin. 2018. Watermelon Traceability Research. Presentation at Food Safety Certification Workshop, OSU Food & Ag Products Center, January 18.
|
Progress 10/01/17 to 09/30/18
Outputs
Target Audience:1) Grain industry management personnel, who can use the information provided to improve the efficiency and safety of their operations 2) Researchers from other disciplines (e.g., engineering, entomology) who can use the economic analysis to improve their own recommendations Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Four Ph.D. students have worked on research dissertations under this project, and two undergraduate students have received research experience. How have the results been disseminated to communities of interest?Presentations were made at professional conferences and at training workshops for industry practitioners What do you plan to do during the next reporting period to accomplish the goals?Entomologists on the project are collecting data that will enable us to more precisely estimate costs of each treatment option. They are also modifying insect growth models (and insects' responsiveness to treatment methods). Together those will allow our models to give more precise estimates of insect control costs from alternative treatment methods, and thus to give better recommendations. For the traceability project, we are continuing to adapt the developed technology for use with other food products as well as to interface with other traceability systems and marketing systems to make the technology more versatile and more widely used. This will enhance the food safety and value added capabilities of the system.
Impacts
What was accomplished under these goals?
We continued to evaluate insect control approaches that could be used as alternatives or partial replacements for chemical treatments (IPM approaches), in addition to approaches that could make conventional approaches more efficient. This included measuring both the treatment costs as well as the costs of failing to control insects for each approach. Food processing facilities face a high cost if they fail to control insects, but a relatively low probability of incurring those costs. In their operating context, a real options approach can provide a method for appropriately measuring the risks of insect infestation under alternative treatment approaches. We are attempting to apply this methodology to the decisions made by food processing facilities in order to improve the timing of insect control measures to potentially reduce chemical use and cost and/or to improve effectiveness. Traceability in the Food Supply Chain We have continued to adapt the Proprietary Centralized Data Whole-Chain Traceability System (PCD-WCTS) developed as part of an earlier NIFA-funded project to other food products. We have begun collaborating with Ravi Jadeja (Animal Science, OSU), on food safety and traceability training for industry practitioners.We have analyzed the costs and benefits of implementing a whole-chain traceability system in the beef industry, including value-added opportunities through information sharing through the PCD-WCTS.
Publications
- Type:
Book Chapters
Status:
Published
Year Published:
2018
Citation:
Kenkel, Phil, and Brian D. Adam. 2018. Economic Theory vs. Reality in Stored Product Management. Chapter 12 in Recent Advances in Stored Product Protection, editors C. G. Athanassiou and F. H. Arthur, published by Springer-Verlag GmbH Germany, part of Springer Nature. https://doi.org/10.1007/978-3-662-56125-6_12. pp. 261-273.
|
Progress 10/01/16 to 09/30/17
Outputs
Target Audience:Food processing and grain storage companies and managers,and other scientists conducting research on insect control in stored products and processing facilities. Food supply chain participants, government regulators, and others who want to increase efficiency of the food supply chain and the quality and safety of food. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Four Ph.D. students are continuing dissertations under this project. How have the results been disseminated to communities of interest?Presentations were made at professional conferences and attraining workshops forindustry practitioners. What do you plan to do during the next reporting period to accomplish the goals?Entomologists on the project are collecting data that will enable us to more precisely estimate costs of each treatment option. They are also modifying insect growth models (and insects' responsiveness to treatment methods). Together those will allow our models to give more precise estimates of insect control costs from alternative treatment methods, and thus to give better recommendations. Thus, during this next reporting period we will continue to update our models withnew dataso that we can estimate costs more accurately and give more accurate recommendations. We are continuing to adapt the concept of real options to measure the economic and risk tradeoffs in insect control decisions in a food processing environment. For the traceability project, we have completed a major funded project, and we have been awarded another funded project to adapt the developed technology for use with other food products as well as to interface with other traceability systems and marketing systems to make the technology more versatile and more widely used. This will enhance the food safety and value-added capabilities of the system.
Impacts
What was accomplished under these goals?
Insect Control in Food Processing and Storage Facilities We continued to evaluateinsect control approaches that could be used as alternatives or partial replacements for chemical treatments (IPM approaches), in addition to approaches that could make conventional approaches more efficient. This includedmeasuring both the treatment costs as well as the costs of failing to control insects for each approach. Food processing facilities face a high cost if they fail to control insects, but a relatively low probability of incurring those costs. In their operating context, a real options approach can provide a method for appropriately measuring the risks of insect infestation under alternative treatment approaches. We are attempting toapply this methodology to the decisions made by food processing facilities in order to improvetiming ofinsect control measures to potentially reduce chemical use and cost and/or to improve effectiveness. Traceability in the Food Supply Chain We have continued to adapt the Proprietary Centralized Data Whole-Chain Traceability System (PCD-WCTS) developed as part of an earlier NIFA-funded project to other food products. We have begun collaborating with Ravi Jadeja (Animal Science, OSU), on food safety and traceability training for industry practitioners. We have analyzed costs and benefits of implementing a whole-chain traceability system in the beef industry, including value-added opportunities through information sharing through the PCD-WCTS.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2017
Citation:
Wang, Yu, Jeffrey Vitale, Pilja Park, and Brian D. Adam. 2017. Vol.12(8), pp. 617-631, February. Socioeconomic Determinants of Hybrid Maize Adoption in Kenya. African Journal of Agricultural Research.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2017
Citation:
Published Selected Papers and Abstracts of Selected Papers/Posters
Adam, Brian D. 2017. The Benefits of Whole-Chain Traceability: Implementation and Evaluation [NC-213]. Proceedings of the Educational Sessions at the Grain Elevator and Processing Society (GEAPS) Exchange 2017, Kansas City, MO. February 28. Available at https://www.geaps.com/knowledge-center/the-benefits-of-whole-chain-traceability-implementation-and-evaluation/ (members only).
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2017
Citation:
Adam, Brian D. 2017. The Benefits of Whole-Chain Traceability: Implementation and Evaluation. Invited Presentation, Educational Track, Grain Elevators and Processors Society (GEAPS) Exchange 2017, Kansas City, MO, February 28.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2017
Citation:
Ge, Candi, and Brian D. Adam. 2017. Value-added Traceability: Using a Whole-Chain Traceability System to Transfer Information about Multiple Attributes along a Multi-Stage Beef Supply Chain. Selected Paper presented by Candi Ge at the Agricultural and Applied Economics Association annual meetings, Chicago, IL, July 31-August 2.
- Type:
Journal Articles
Status:
Published
Year Published:
2017
Citation:
Su, Lianfan, Brian D. Adam, Jayson Lusk, and Frank Arthur. 2017. Anchoring, Information, and Fragility of Choice Experiments: An Application to Consumer Willingness to Pay for Rice with Improved Storage Management. J. Agricultural & Resource Economics. 42(2):255274.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2017
Citation:
Duan, Suling, Shu Yan, and Brian D. Adam. 2017. Economically Optimal Timing of Insect Control in Processing Facilities: A Real Option Approach. Presented at NC-213 Annual Meeting. Kansas City, Missouri. February 29.
|
Progress 10/01/15 to 09/30/16
Outputs
Target Audience:Food processing and grain storage facilities, particularly those storing and/or processing wheat or rice, and other scientists conducting research on insect control in stored products and processing facilities. Food supply chain participants, government regulators, and others who want to increase efficiency of the food supply chain and the quality and safety of food. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?One M.S. student has completed a M.S. thesis and is beginning a Ph.D. dissertation under this project, another student is beginning a Ph.D. dissertation, and two Ph.D. students are continuing dissertations under this project, for a total of four Ph.D. dissertations in progress. How have the results been disseminated to communities of interest?Presentations at training and certification workshops Presentations at professional conferences What do you plan to do during the next reporting period to accomplish the goals?Entomologists on the project are collecting data that will enable us to more precisely estimate costs of each treatment option. They are also modifying insect growth models (and insects' responsiveness to treatment methods). Together those will allow our models to give more precise estimates of insect control costs from alternative treatment methods, and thus to give better recommendations. Thus, during this next reporting period we will continue to update our models with the new data from the entomologists so that we can estimate costs more accurately and give more accurate recommendations. Also, the current results and recommendations apply to whole floors of processing facilities. Work in progress is modifying and refining those results using GIS techniques to apply to multiple individual locations on a particular floor of the facility. We are continuing to adapt the concept of real options to measure the economic and risk tradeoffs in insect control decisions in a food processing environment. For the traceability project, we have completed a major funded project, and we have been awarded another funded project to adapt the developed technology for use with other food products as well as to interface with other traceability systems and marketing systems to make the technology more versatile and more widely used. This will enhance the food safety and value-added capabilities of the system.
Impacts
What was accomplished under these goals?
Under the funded projects, "Alternatives to Methyl Bromide for Effective Integrated Pest Management in Rice Mills," USDA-NIFA Methyl Bromide Transition, 9/1/2014-8/31/2017, PIs McKay, Arthur, Campbell, Adam, Wilson, Yang, and Reagan, and "Evaluation of New Strategies and Tactics to Manage Insect Pests in Mills," USDA-NIFA-ICGP, 9/1/2013-8/31/2016, PIs Kun Yan Zhu, Bhadriraju Subramanyam, Frank Arthur, James Campbell, Brian Adam, and Ducatte. Methyl bromide is a commonly used fumigant for controlling insects in food processing facilities. However, it has been designated as an ozone depleter and is becoming less available and more costly. Integrated pest management (IPM) is an alternative, and may additionally reduce insecticide resistance, improve worker safety, and reduce environmental concerns and consumer concerns about pesticide residuals. However, little is known about the costs and efficacy of IPM in food processing facilities. We consider several IPM approaches and measure both the treatment costs as well as the costs of failing to control insects for each approach. Food processing facilities face a high cost if they fail to control insects, but a relatively low probability of incurring those costs. In their operating context, a real options approach can provide a method for appropriately measuring the risks of insect infestation under alternative treatment approaches. A Ph.D. student (Suling Duan) is investigating alternative ways to apply this methodology to food processing facilities and their insect control decisions. We are working closely with entomologists on the project to gather and analyze data from the project for this purpose. We are also, with the help of the entomologists, gathering location data to be used in GIS models that will help improve the understanding of insect issues in processing facilities and thus aid in controlling insects. Traceability in the Food Supply Chain Research by B.D. Adam and Candi Ge (graduate student), along with Michael Buser (Biosystems & Ag Engineering), Blayne Mayfield and Johnson Thomas (Computer Science), and Steve Ricke and Phil Crandall (Food Science, U. of Arkansas) on the topic "Advancement of a whole-chain, stakeholder driven traceability system for agricultural commodities: beef cattle pilot demonstration." - We have developed a "proof-of-concept" interface between the Proprietary Centralized Data Whole-Chain Traceability System (PCD-WCTS) developed as part of this project and a local farmer-to-consumer traceability system developed by a private traceability company.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2016
Citation:
Adam, Brian D., Rodney Holcomb, Michael D. Buser, Blayne Mayfield, Johnson Thomas, Philip Crandall, Corliss A. OBryan, Steven C. Ricke, Dar Knipe, and Richard Knipe. 2016. Enhancing Food Safety, Product Quality, and Value-Added in Food Supply Chains Using Whole-Chain Traceability. International Food and Agribusiness Management Review. Special Issue - Volume 19 Issue A:191-214. (Available at http://www.ifama.org/resources/Documents/Volume%2019%20Issue%20A/1020150140.pdf)
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2016
Citation:
Ge, Candi, and Brian D. Adam. 2016. Value of Information in a Whole-Chain Traceability System for Beef Cattle: Application to Meat Tenderness. Selected Paper presented at the Western Agricultural Economics Association annual meetings, Victoria, BC, Canada, June 21-23.
- Type:
Theses/Dissertations
Status:
Other
Year Published:
2016
Citation:
Li, Niu. 2016. Alternatives to Methyl Bromide Fumigation for Insect Control in Rice and Wheat Processing Facilities: An Economic Optimization. M.S. Thesis, Oklahoma State University.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
C. C. Craige, M. D. Buser, and B. D. Adam. 2016. How Consumers Would Use the National Whole Chain Traceability System. Oklahoma Cooperative Extension Service Fact Sheet NWCTI-09, June.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
Stehle, A.M., C. C. Craige, M. D. Buser, and B. D. Adam. 2016. Using RFID and Traceability Systems in Stocker Operations. Oklahoma Cooperative Extension Service Fact Sheet NWCTI-05, June.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
Adam, B.D., C.C. Craige, and M.D. Buser. 2016. What makes the National Whole Chain Traceability System Different? Oklahoma Cooperative Extension Service Fact Sheet NWCTI-02, June 2016.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2016
Citation:
Ge, Candi, and Brian D. Adam. 2016. Value of Information in a Whole-Chain Traceability System for Beef Cattle: Application to Meat Tenderness. Selected Poster presented at the Agricultural and Applied Economics Association annual meetings, Boston, MA, July 31-August 2.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
Adam, B. D., C. C. Craige, and M. D. Buser. 2016. Risk Reallocation in a Whole Chain Traceability System. Oklahoma Cooperative Extension Service Fact Sheet NWCTI-17, June.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
Buser, M. D, C. C. Craige, and B. D. Adam. 2016. What Access will Government Agencies Have? Oklahoma Cooperative Extension Service Fact Sheet NWCTI-16, June.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
Thomas, J.P., C. C. Craige, M. D. Buser, and B. D. Adam. 2016. How Secure Is Your Data in the National Whole Chain Traceability System? Oklahoma Cooperative Extension Service Fact Sheet NWCTI-15, June.
- Type:
Other
Status:
Published
Year Published:
2016
Citation:
C. C. Craige, T. K. Kumar, M. D. Buser, and B. D. Adam. 2016. How to Use the NWCTI System. Oklahoma Cooperative Extension Service Fact Sheet NWCTI-10, June.
|
Progress 10/01/14 to 09/30/15
Outputs
Target Audience:Food processing and grain storage facilities, particularly those storing and/or processing wheat or rice, and other scientists conducting research on insect control in stored products and processing facilities. Food supply chain participants, government regulators, and others who want to increase efficiency of the food supply chain and the quality and safety of food. Changes/Problems:Optimal Insect Control in Grain Storage Change in knowledge: Results of the research on optimal insect control in warm climates indicates that under normal rates of insect immigration into storage bins, one treatment is always necessary in OKC, representing the Southern Plains. The cost of the optimal strategy is the cost of one fumigation. One fumigation controls insect growth sufficiently that no insect-damaged kernels (idk) discounts or live insect discounts result. This result holds over the 29-year period as long as the one fumigation occurs within a 130-day window ranging from August to January. The robustness of the results across application dates for calendar-based fumigation may partly explain why many elevator managers have followed this approach. A second result is that in Wichita, representing the Central Plains, if insect immigration rate can be reduced to a low level, fumigation is almost never necessary. These two results are obtained using only one year of weather data. A third result, different from previous results because of the more complete consideration of weather variability, is that in OKC, representing the Southern Plains, under low immigration rates, there are many years in which fumigation is not necessary, even when grain is stored for the full 10 months and even though temperatures and humidity are higher. Change in actions: Results suggest that a sampling-based IPM approach, such as that recommended by entomologists at USDA-ARS in which current weather information is combined with insect sampling and an expert system for predicting insect growth, can be an economically attractive alternative to calendar-based fumigation if an elevator manager can reduce insect immigration rates, perhaps by careful sanitation and sealing of storage structures. Summary Impact Statement Sampling-based IPM can be economically effective in certain conditions in partially replacing fumigation in controlling insects in stored grain facilities IPM Methods in in Processing Facilities Change in knowledge: Models are being developed to predict insect growth in different locations within a processing facility. This will facilitate analysis to determine economic effectiveness of alternatives to whole-plant fumigation in order to control insects. Change in actions: None to report at this stage. An extension component of this project is currently being arranged for early 2015 to present key results to industry practitioners. Traceability in the Food Supply Chain Change in knowledge: A traceability system has been developed that permits supply chain participants who put data into the system to selectively share information with others in the supply chain. Change in actions: None to report at this stage. Summary Impact Statement The traceability system developed can be used by farmers to manage production and marketing data. Farmers can use this data in the system to provide value-based and safety information to other participants in the supply chain, including consumers. This will facilitate communication of important food attributes through the supply chain, adding value to consumers and to other participants in the supply chain, and enhance food safety and animal disease traceability. What opportunities for training and professional development has the project provided?One M.S. student has nearly completed a M.S. thesis, and one Ph.D. student is beginning a dissertation under this project. How have the results been disseminated to communities of interest?Presentations at training and certification workshops: Adam, Brian D. Li Niu, Frank Arthur, James Campbell, Tanja McKay. 2015. "Economics of Insect Control in Rice Storage and Processing." Presentations of Results of Grant-Funded Project for Rice Millers and Growers at Workshop in Richvale, CA, East Bernard, TX, Jonesboro, AR, February 23-27. What do you plan to do during the next reporting period to accomplish the goals?Entomologists on the project are collecting data that will enable us to more precisely estimate costs of each treatment option. They are also modifying insect growth models (and insects' responsiveness to treatment methods). Together those will allow our models to give more precise estimates of insect control costs from alternative treatment methods, and thus to give better recommendations. Thus, during this next reporting period we will continue to update our models with the new data from the entomologists so that we can estimate costs more accurately and give more accurate recommendations. Also, the current results and recommendations apply to whole floors of processing facilities. Work in progress is modifying and refining those results using GIS techniques to apply to multiple individual locations on a particular floor of the facility. We will also be adapting the concept of real options to measure the economic and risk tradeoffs in insect control decisions in a food processing environment. For the traceability project, we have completed a major funded project, and we will be seeking funding to adapt the developed technology for use with other food products as well as to interface with other traceability systems and marketing systems to make the technology more versatile and more widely used. This will enhance the food safety and value-added capabilities of the system.
Impacts
What was accomplished under these goals?
The general objective of the research under this project is to improve the ability of the grain marketing system to respond to increased pesticide regulations and to consumer demands for wholesome, insect-free foods. The specific objectives are: Estimate costs and risks associated with chemical-based and IPM pest-control strategies in stored grain facilities, and Estimate costs and risks associated with chemical-based and IPM pest-control strategies in food processing facilities What was accomplished under these goals? Under the funded projects, "Alternatives to Methyl Bromide for Effective Integrated Pest Management in Rice Mills," USDA-NIFA Methyl Bromide Transition, 9/1/2014-8/31/2017, PIs McKay, Arthur, Campbell, Adam, Wilson, Yang, and Reagan, and "Evaluation of New Strategies and Tactics to Manage Insect Pests in Mills," USDA-NIFA-ICGP, 9/1/2013-8/31/2016, PIs Kun Yan Zhu, Bhadriraju Subramanyam, Frank Arthur, James Campbell, Brian Adam, and Ducatte. Methyl bromide is a commonly used fumigant for controlling insects in food processing facilities. However, it has been designated as an ozone depleter and is becoming less available and more costly. Integrated pest management (IPM) is an alternative, and may additionally reduce insecticide resistance, improve worker safety, and reduce environmental concerns and consumer concerns about pesticide residuals. However, little is known about the costs and efficacy of IPM in food processing facilities. We consider several IPM approaches and measure both the treatment costs as well as the costs of failing to control insects for each approach. Food processing facilities face a high cost if they fail to control insects, but a relatively low probability of incurring those costs. In their operating context, a real options approach can provide a method for appropriately measuring the risks of insect infestation under alternative treatment approaches. A Ph.D. student (Suling Duan) is investigating alternative ways to apply this methodology to food processing facilities and their insect control decisions. We are working closely with entomologists on the project to gather and analyze data from the project for this purpose. We are also, with the help of the entomologists, gathering location data to be used in GIS models that will help improve the understanding of insect issues in processing facilities and thus aid in controlling insects. Traceability in the Food Supply Chain Research by B.D. Adam and Candi Ge (graduate student), along with Michael Buser (Biosystems & Ag Engineering), Blayne Mayfield and Johnson Thomas (Computer Science), and Steve Ricke and Phil Crandall (Food Science, U. of Arkansas) on the topic "Advancement of a whole-chain, stakeholder driven traceability system for agricultural commodities: beef cattle pilot demonstration." - We have developed a "proof-of-concept" interface between the Proprietary Centralized Data Whole-Chain Traceability System (PCD-WCTS) developed as part of this project and a local farmer-to-consumer traceability system developed by a private traceability company.
Publications
- Type:
Book Chapters
Status:
Published
Year Published:
2015
Citation:
Adam, Brian D., Michael Buser, Blayne Mayfield, Johnson Thomas, Corliss A. OBryan, and Philip Crandall. 2015. Computer systems for whole-chain traceability in beef production systems. Chapter 2 in Food Safety: Emerging Issues, Technologies and Systems, edited by Steven C. Ricke, Janet R. Donaldson, and Carol A. Phillips. Elsevier, Inc.
- Type:
Other
Status:
Other
Year Published:
2015
Citation:
Duan, Suling, and Brian D. Adam. 2015. Economically Optimal Timing of Insect Control in Food Processing Facilities: An Option Approach. Poster presented at the Agricultural and Applied Economics Association/Western Agricultural Economics Association annual meetings, San Francisco, CA, July 26-28.
- Type:
Other
Status:
Other
Year Published:
2015
Citation:
Duan, Suling, and Brian D. Adam. 2015. Balancing Insect Control and Insect Damage Costs. Poster presented at the Robert M. Kerr Food & Agricultural Products Center Research Symposium (in conjunction with OSU Research Week), Oklahoma State University, Stillwater, OK, February 17.
- Type:
Other
Status:
Other
Year Published:
2015
Citation:
Niu, Li, and Brian D. Adam. 2015. Measuring Economic Costs of Integrated Pest Management in Rice Processing Facilities. Poster presented at the Robert M. Kerr Food & Agricultural Products Center Research Symposium (in conjunction with OSU Research Week), Oklahoma State University, Stillwater, OK, February 17.
- Type:
Conference Papers and Presentations
Status:
Submitted
Year Published:
2015
Citation:
Niu, Li, Brian D. Adam, Frank Arthur, James Campbell, and Paul Flinn. 2015. In Search of the Holy Grail: Finding the Best Insect Control Strategy in a Food Processing Facility. Presented at NC-213 Annual Meeting. Kansas City, Missouri. February 25.
- Type:
Theses/Dissertations
Status:
Submitted
Year Published:
2015
Citation:
Li, Niu. 2015. Alternatives to Methyl Bromide Fumigation for Insect Control in Rice and Wheat Processing Facilities: An Economic Optimization. M.S. Thesis, Oklahoma State University.
|
Progress 11/18/13 to 09/30/14
Outputs
Target Audience: Food processing and grain storage facilities, particularly those storing and/or processing wheat or rice, and other scientists conducting research on insect control in stored products and processing facilities. Food supply chain participants, government regulators, and others who want to increase efficiency of the food supply chain and the quality and safety of food. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided? Participation in state and national conferences. Graduate student have been trained. How have the results been disseminated to communities of interest? Presentations at various meetings and conferences. What do you plan to do during the next reporting period to accomplish the goals? Work in 2015 will focus on two major areas. First, estimation of benefits and costs of alternative insect control strategies in food processing facilities will be more detailed and useful as the entomologists on the interdisciplinary, funded projects gather more data. Specifically, they are in the process of gathering data on insect populations in different locations within actual processing facilities in response to varying temperature and humidity as well as insect control treatments. Second, the work on traceability will focus on valuing costs and benefits of value-added activity, improved supply chain management, and animal disease and food safety event trace-backs facilitated by whole-chain traceability.
Impacts
What was accomplished under these goals?
Optimal Insect Control in Grain Storage Change in knowledge Results of the research on optimal insect control in warm climates indicates that under normal rates of insect immigration into storage bins, one treatment is always necessary in OKC, representing the Southern Plains. The cost of the optimal strategy is the cost of one fumigation. One fumigation controls insect growth sufficiently that no insect-damaged kernels (idk) discounts or live insect discounts result. This result holds over the 29-year period as long as the one fumigation occurs within a 130-day window ranging from August to January. The robustness of the results across application dates for calendar-based fumigation may partly explain why many elevator managers have followed this approach. A second result is that in Wichita, representing the Central Plains, if insect immigration rate can be reduced to a low level, fumigation is almost never necessary. These two results are obtained using only one year of weather data. A third result, different from previous results because of the more complete consideration of weather variability, is that in OKC, representing the Southern Plains, under low immigration rates, there are many years in which fumigation is not necessary, even when grain is stored for the full 10 months and even though temperatures and humidity are higher.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2013
Citation:
Crandall, Philip G., Corliss A. OBryan, Dinesh Babu, Nathan Jarvis, Mike L. Davis, Michael Buser, Brian Adam, John Marcy, and Steven C. Ricke. 2013. Whole-chain traceability, is it possible to trace your hamburger to a particular steer, a U. S. perspective? Meat Science. 95(2):137-44.
- Type:
Journal Articles
Status:
Published
Year Published:
2013
Citation:
Gautam, S. G., G. P. Opit, K. L. Giles, and B. Adam. 2013. Weight losses and germination failure caused by psocids in different wheat varieties. J. Economic Entomology 106(1):491-498.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2014
Citation:
Adam, Brian D., Michael D. Buser, Blayne Mayfield, Johnson Thomas, Ashwin Kumar, Krishna Palepu, Phil Crandall, and Steve Ricke. 2014. Whole-Chain Traceability in Beef Production Information Sharing from Farm to Fork and Back Again. Invited Presentation at the Southern Animal Health Association/National Association of State Meat and Food Inspection Directors - Eastern Region Meeting in Oklahoma City, Oklahoma, June 3.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2014
Citation:
Niu, Li, Brian D. Adam, James F. Campbell, and Frank Arthur. 2014. Economics of Integrated Pest Management in Rice Processing Facilities. Selected Presentation at 35th Meeting of the Rice Technical Working Group, February 18-21, New Orleans, LA.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2014
Citation:
Adam, Brian D., Michael D. Buser, Blayne Mayfield, Johnson Thomas, Ashwin Kumar, Krishna Palepu, Phil Crandall, and Steve Ricke. 2014. Whole-Chain Traceability in Beef Production Demonstrating the Technology. Invited Presentation at the International Production and Processing Expo, AMI Education and Professional Development, Atlanta, GA, January 28. (Evaluation: Overall Session Content 5/5, Content applicable to my organization or job 4/5, Speaker 5/5).
- Type:
Theses/Dissertations
Status:
Published
Year Published:
2014
Citation:
Walker, Jeremy. 2014. Valuing a Proposed Poultry Litter-to-Energy Processing Plant Using Real Options. M.S. Thesis, Oklahoma State University.
- Type:
Theses/Dissertations
Status:
Published
Year Published:
2014
Citation:
Duan, Suling. 2014. Insect Control under Uncertainty: Economical Strategies That Are Robust to Varying Weather Conditions and Insect Immigration Rates. M.S. Thesis, Oklahoma State University.
- Type:
Theses/Dissertations
Status:
Published
Year Published:
2014
Citation:
Ge, Candi. 2014. The Value of a Whole-Chain Traceability System in Transmitting Genetic Information about Beef Tenderness. M.S. Thesis, Oklahoma State University.
- Type:
Other
Status:
Other
Year Published:
2014
Citation:
Optimal Insect Control in Grain Storage
Change in knowledge Results of the research on optimal insect control in warm climates indicates that under normal rates of insect immigration into storage bins, one treatment is always necessary in OKC, representing the Southern Plains. The cost of the optimal strategy is the cost of one fumigation. One fumigation controls insect growth sufficiently that no insect-damaged kernels (idk) discounts or live insect discounts result. This result holds over the 29-year period as long as the one fumigation occurs within a 130-day window ranging from August to January. The robustness of the results across application dates for calendar-based fumigation may partly explain why many elevator managers have followed this approach.
A second result is that in Wichita, representing the Central Plains, if insect immigration rate can be reduced to a low level, fumigation is almost never necessary. These two results are obtained using only one year of weather data.
A third result, different from previous results because of the more complete consideration of weather variability, is that in OKC, representing the Southern Plains, under low immigration rates, there are many years in which fumigation is not necessary, even when grain is stored for the full 10 months and even though temperatures and humidity are higher.
Change in actions Results suggest that a sampling-based IPM approach, such as that recommended by entomologists at USDA-ARS in which current weather information is combined with insect sampling and an expert system for predicting insect growth, can be an economically attractive alternative to calendar-based fumigation if an elevator manager can reduce insect immigration rates, perhaps by careful sanitation and sealing of storage structures.
Summary Impact Statement
??Sampling-based IPM can be economically effective in certain conditions in partially replacing fumigation in controlling insects in stored grain facilities
- Type:
Other
Status:
Other
Year Published:
2014
Citation:
Traceability in the Food Supply Chain
Change in knowledge A prototype traceability system has been developed that permits supply chain participants who put data into the system to selectively share information with others in the supply chain. This is a key feature for development of a complete traceability system that provides benefits to participants that are greater than the costs.
Change in actions None to report at this stage.
Summary Impact Statement
??The traceability system developed can be used by farmers to manage production and marketing data. Farmers can use this data in the system to provide value-based and safety information to other participants in the supply chain, including consumers. This will facilitate communication of important food attributes through the supply chain and enhance food safety.
|
|