The cyclic nature of the beef industry is dependent on the supply and demand transaction initiated by consumers’ acceptability of quality meat products. When purchasing beef at the grocery store, consumers are dependent on USDA grades and visual appraisal; consumers expect consistency in products. Upon this appraisal, quality is determined by the color, marbling content, and texture of a particular retail cut, as well as cooked characteristics of tenderness, flavor, and juiciness. Variability in meat tenderness is a major quality defect of beef (Morgan et al., 1991b; Smith et al., 1992). A common practice used by beef processors to extend the shelf life and improve tenderness of beef products is “enhancing”. Even though enhancing products is effective for water and color retention and improved tenderness, these additives can negatively impact flavor by giving a bitter, salty or metallic taste. This experiment was conducted to determine the effect of enhancement on the eating quality of USDA Select strip loin steaks. After a training session, six students in the agriculture department at Western Kentucky University were selected to serve on a sensory panel. The panel members evaluated tenderness, juiciness, flavor, off-flavor, overall acceptability, and saltiness. The USDA Select strip loin steaks were enhanced with a 12% solution of sodium and potassium phosphate and USDA Choice strip loin steaks were non-enhanced. Results indicated the enhanced product was inferior for all palatability measures (P<.05). Enhanced USDA Select strip loin steaks were rated as being lower for tenderness, juiciness, flavor, overall acceptability, and more salty. Also, the enhanced strip loin steaks received significantly higher evaluations for off-flavor (P<.01). These data suggested that a 12% solution of sodium and potassium phosphates administered to USDA Select strip loin steaks lowered consumer satisfaction.

PURPOSE: This study is a quantitative analysis of the relationship between obesity and food availability in the United States. A vast amount of literature has been produced examining various food and socioeconomic variables for their effect on obesity rates; however, this is the first research project to use the USDA’s Food Environment Atlas in a nationwide quantitative study. METHODS: This study uses multivariate statistical analysis to study the effect of 24 variables identified in the 2015 USDA Food Environment Atlas on county-wide obesity rates. The primary regression of concern looks specifically at the effect five food availability variables (grocery stores, specialty food stores, SNAP stores, supercenters, and convenience stores) have on obesity rates. RESULTS: Grocery store and specialty food store density is negatively correlated to percent countywide obesity, while supercenter and SNAP store density is positively correlated to percent obesity. Convenience store density had virtually no effect on percent obesity. Potentially confounding variables such as density of recreational facilities and farmers’ markets were also negatively correlated with obesity. Additionally, density of fast-food and full-service restaurants were negatively correlated with obesity, while perpetual poverty was positively correlated to percent obesity. CONCLUSION: The analyses presented in this study suggest that greater availability of grocery stores and specialty food stores may help to curb rising obesity rates. Policy recommendation and considerations based on the results are discussed and explored for their potential utility in addressing the obesity epidemic confronting the United States.

The interrelated topics of food, eating, nutrition, and diet continue to represent growing areas of interest in communication studies and related disciplines. Food is essential to our existence, and the images we use to communicate about food are important to public culture. In this project, I conduct a visual rhetorical analysis of the food pyramids created by the United States Department of Agriculture (USDA), the 1992 Food Guide Pyramid and the 2005 MyPyramid, to explore how these iconic images negotiate the competing interests of the food industry, nutritionists, and the general public. As icons circulate, they become subjected to various forms of appropriation which includes copying, imitating, and satirizing the original image. Therefore, I study a collection of appropriated food pyramids created by different groups and individuals to identify the salient features of the food pyramid icon. As a group these images encourage viewers to believe that an abundance of food always exists by highlighting products over processes. Viewing the earth as endlessly abundant aligns with a cornucopian perspective on the environment which implicitly supports the status quo in the U.S. industrial food system. I conclude by offering ideas of appropriated food pyramids that visually challenge this problematic ideology. The USDA food pyramids and their visual appropriations provide an important space for us to interrogate the rhetorical messages we consume in public culture.

Title: “Where the Feral Things Are: An analysis of how the USDA and Department of the Interior’s Agencies Manage Feral Hogs, Horses and Burros” Author: Elizabeth Poczobut, MPA Candidate, Department of Political Science, Public Policy and International Affairs, College of Arts and Sciences, ETSU. Abstract: Many Americans cannot picture the “Wild West” without also picturing the majesty, liberty and mystique of wild horses roaming the plains. This deeply held cultural view of wild horses lead to the 1971 passage of the Wild, Free-Roaming Horses and Burros Act. This act tasked the Department of the Interior, and subsequently the Bureau of Land Management, with protecting wild horses and burros from “capture, branding, harassment, or death…as an integral part of the natural system of the public lands.” In 1971, there were approximately 25,000 free-roaming horses and burros on public land in the western United States. That number has grown to over 70,000 animals today, and the Bureau of Land Management alone spends approximately $81 million in taxpayer money every year to continue carrying out the management objectives set in 1971. Wild horses and burros are a uniquely protected and managed non-native species in the United States due to a variety of administrative, cultural and legal management constraints. They are protected from many forms of eradication and have virtually no natural predators. When feral horses are compared with other non-native species like wild hogs, the management inequalities are obvious. The United States Department of Agriculture estimates that there are 5 million feral hogs roaming the United States, and that they are responsible for about $1.5 million in damages to natural resources. Unlike feral horses, feral hogs are managed by a variety of means up to and including unrestricted eradication. This paper will analyze the non-native, mammal management practices of five major United States agencies and compare legislation, cultural expectations and administrative regulations of these two major feral species. The attempted resolutions and new management proposals are also discussed, and the potential implications of these are taken into consideration.

This research determines and demonstrates the ability to simulate dynamic multispecies animal habitat suitability with forest succession models. A literature review of dynamic animal habitat models is presented. The structure of an existing forest simulation model (MASS10) was modified from a basal area-based model to a volume-based model (DYNAM10). The forest model was calibrated using data from permanent-plot growth and vegetation samples collected by USDA Forest Service Forest Survey procedures. The theoretical growth parameters used to simulate stand development were validated. Predictions of DBH and height growth, as well as stand-level behavior, were verified. A subroutine, VEGDYN, was added to DYNAMlO to simulate 34 structural vegetation parameters required by animal Habitat Suitability Index (HSI) models. Predictions of the structural parameters were verified. Ten animal-species HSI models were linked to DYNAMlO via the program HSI.FOR, and predicted dynamic HSI values were verified by hand-calculation. Typical patterns of dynamic HSI predictions are presented and discussed.

The interaction of land-use and climate can cause non-linear “state” changes in ecosystems, characterized by persistent differences in structure and function. Changes in land-use and climate on the Colorado Plateau may be driving many ecosystems toward undesired states where energy-intensive measures are required to return to previous states. Landscape classification systems based on “ecological potential” offer a robust framework to evaluate ecological conditions. Ecological sites are a popular landscape classification system based on long-term ecological potential and are widely used throughout the western US. Ecological sites have been described extensively for rangelands and woodlands on DOI Bureau of Land Management lands; however, they have yet to be described on USDA Forest Service (USFS) lands. In this thesis, I describe a statistical approach to ecological site delineation and the development of state-and-transition models, diagrams that illustrate ecosystem dynamics and responses to disturbances. In Chapter 2, I used a large inventory dataset and multivariate statistical procedures to classify plots based on life zone, soils, and potential vegetation, effectively delineating statistical ecological site-like groups. Most of the statistical ecological sites matched ecological sites already described by the USDA Natural Resources Conservation Service (NRCS). Additionally, I described one new ecological site that has not been described by the NRCS in the Colorado Plateau region. In Chapter 3, I examined empirical evidence for alternative states in mountain ponderosa pine (Pinus ponderosa Lawson & C. Lawson) and upland piñon-juniper ecosystems. Using multivariate statistical procedures, I found that plots cluster into groups consistent with generalized alternative states identified in a priori conceptual models. Additionally, I showed that ponderosa pine clusters were true alternative states and piñon-juniper clusters were not true alternative states because they were confounded by similarities in climate. Ponderosa pine clusters were differentiated by overstory ponderosa pine density and corresponded to three states: current potential, high fuel load, and reduced overstory. These results illustrate the range of ecosystem variability that is present throughout the study area and present evidence for alternatives states caused by historical land-use. This project is the first to propose ecological sites and state-and-transition models on USFS lands in this region. These techniques could be applied to areas that do not have formally described ecological sites and state-and-transition models and could help identify ecological sites that may have been overlooked using other means of delineation. Additionally, these methods can be used to evaluate the range of ecological variability throughout an area of interest and to improved understanding of ecosystem dynamics.

<p> This dissertation consists of three essays that evaluate long-term agricultural projections. The first essay focus on evaluating Congressional Budget Office’s (CBO) baseline projection of United States Department of Agriculture (USDA) mandatory farm and nutrition programs. The second essay examine USDA soybean ending stock projections, and the third essay investigate impact of macroeconomic assumptions on USDA’s baseline farm income projections.  We use publicly available data from Congressional Budget Office (CBO) and United States Department of Agriculture (USDA)</p>

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This thesis aims to analyze the impacts on U.S. and global sorghum trade, and whether China will continue importing sorghum from the global sorghum market for feed use, if the Chinese government cancels its corn price support policy and corn temporary reserve program nationwide. This study uses the USDA-ERS China Model and the Country-Commodity Linked System (CCLS) to simulate the impacts on U.S. sorghum exports and the reduction of sorghum's global price, global production, and global trade volumes. The simulations are based on three scenarios: if China's sorghum import volume decreased by 50% from USDA-ERS's baseline projection, if China's sorghum import volume decreased by 35% each year from the previous year, and if China's sorghum import volume decreased by 70% from USDA-ERS's baseline projection in year one and by 90% from USDA-ERS's baseline projection in subsequent years. The modeling system is a large scale multi-country and multi-commodity partial equilibrium dynamic simulation model which solves for global prices and trade using individual country models. Policy instruments are applied to the China model and solved globally. The USDA-ERS China Model and the CCLS, used to project Chinese and global sorghum trends, includes the following policy instruments: tariffs, quotas, tariff rate quotas, export tax, direct payments, input subsidies, and procurement policies. This model simulates projections using price and income elasticities and assumed values for exogenous variables such as income and population growth. This model also incorporates behavior of state trading enterprises and WTO commitments into imported and exported equations for sorghum. / Master of Science / This research uses the USDA-ERS China model to analyze the impacts on U.S. and global sorghum trade, and whether China will continue importing sorghum for feed use, if the Chinese government cancels its corn price support policy nationwide. Results show that the decrease of China’s sorghum imports resulted in less sorghum demand and lower sorghum price in the global market. Sorghum exports for U.S. and other major sorghum exporters decreased significantly. The results show the necessity to seek new sorghum export opportunities worldwide for U.S. sorghum exporters. Meanwhile, U.S. sorghum exporters may change their cropping patterns to continue making profits by switching out of sorghum.

This study was an investigation of the access problem to fresh and affordable fruits and vegetables and how limited access influenced the beliefs and opinions of residents of a food desert as designated by United States Department of Agriculture. Many researchers have documented that price, availability, and transportation are barriers to fruit and vegetable consumption, particularly among low-income individuals. Researchers in other studies have concluded that these barriers are further exacerbated by an individual's distance from a supermarket or grocery store. However, much less information is available regarding the beliefs and opinions about life in a food desert and how these factors affect food-shopping. Accordingly, this study used the socioecological model framework to explore the beliefs and opinions of the low-income residents who lived in a food desert. Qualitative data were collected from semistructured interviews with 14 low-income participants to learn their beliefs and opinions about access to fresh produce. The qualitative data were transcribed and analyzed, using ATLAS.ti software, to generate themes. Results showed that the participants felt fresh fruits and vegetables were available, but they were not always able to purchase them because of cost. Respondents had an awareness of how their budgets influenced food choices and shopping behaviors as well as how the mode of transportation and mileage from a grocery store impacted food shopping behaviors. The implications for positive social change include creating additional options for food access, such as farmers' markets, community gardens, mobile food trucks, and lowered prices (or subsidies).