Master of Agribusiness / Department of Agricultural Economics / Ted C. Schroeder / During the last 20 years important changes have taken place in the Uruguayan beef chain. Production of grain finished cattle has become a common practice, supply agreements between packers and groups of farmers have increased and packers have begun to own feedyards. Consequently, the number of cattle pre-committed for procurement by a packer has increased significantly. Three sourcing methods are commonly used by packers to ensure captive supply of grain finished fed cattle: marketing agreements, custom feeding and owning a feedyard. The objective of this thesis is to determine the method or combination of methods that result in improved Uruguayan packer profitability through enhanced packer plant management and utilization. To achieve this objective, a quantitative and qualitative analysis using the different sourcing methods was carried out. The analysis looked to identify the drivers that determine why packers resort to one method of procurement rather than other, or a combination of them; and to determine the methods that result in better packer economic results and plant management. The results show that there is no difference between using marketing agreements and custom feedyards, and that resorting to owned feedyards entails higher costs, using current values for feedyard feed and yardage and 2005-2009 average cattle prices. When different scenarios are assessed, custom feeding emerges as the most cost effective option, followed by marketing agreements. However, when qualitative analysis is included, some doubts arise regarding the quantitative advantage of custom feedyards over the alternatives, and a combination of marketing agreements and owned feedyards may be the best option.

Master of Science / Department of Agricultural Economics / Timothy J. Dalton / Given the changing climate paradigm, food and poverty are likely to become more severe in Africa. Farmers can adapt to climate change, especially through conservation agriculture. This study relies on a minimum data approach developed by Antle and Valvidia (2006) to estimate the spatial distribution of opportunity cost for farmers in switching to conservation practices in Wa, Ghana. It assesses the economic feasibility of several scenarios that rely on production techniques currently studied by the CRSP SANREM project. We also explore the possibility that these practices can provide income from carbon sequestration payments implemented by the Kyoto protocol’s Clean Development Mechanisms. The methodology uses data from both a recent survey and information from secondary sources to assess simulated management practices. Results indicate that all the simulated management practices would theoretically benefit farmers. In fact, adoption rates for the four scenarios range from 52% to 65%, even without any carbon payment. Adding a proportional payment to the amount of carbon sequestered with these practices does not seem enough to influence farmers switch to switch to alternative scenarios. The analysis shows that these results hold even when additional fixed costs to adopt these practices are included. This case study demonstrates the usefulness of the minimum data approach in estimating the economic potential of conservation practices in Ghana. These production techniques may represent environmentally-friendly alternatives that are more profitable for farmers than current practices. The next step in assessing implementation of such practices would require studying farmers’ willingness to adopt these production systems, given their ex-ante economic returns.

Master of Agribusiness / Department of Agricultural Economics / Allen M. Featherstone / Crop insurance, in recent years, has displaced U.S. federal farm program payments as the most important safety net for net farm income. The business climate that crop insurance purchasers and providers face in the future is one of increasing premiums for producers and decreasing commissions for crop insurance companies and agents. The primary objective of this thesis is to assess the desirability of crop insurance agency acquisitions to increase market share for Farm Credit Services of America, considering the significant uncertainties in the future subsidy levels and commission levels for these products. Financial analysis and modeling crop insurance agency acquisitions is completed under a wide range of future economic and political scenarios. The wide range of assumptions, however, does contribute to a wide range of potential purchase prices and rates of return on crop insurance agency acquisitions. The crop insurance industry faces uncertainty in the future and general industry profitability will likely decline. However, an expansion strategy in a period of reduced commissions can be profitable if acquisitions are priced appropriately and can be made in locations where existing support services can be leveraged to support the acquisition.

Master of Agribusiness / Department of Agricultural Economics / Allen M. Featherstone / Land is a fundamental input in agricultural production and the factors affecting land prices are an important topic in agricultural economics research. The farmland market has several unique characteristics. Land price volatility can be a source of problems for farmers and investors, especially in periods of falling prices in locations far from markets where the impact of land price reductions is higher than in other locations. This study analyzes land price volatility in different geographical regions of Brazil. The hypothesis is that variation in land price increases with the distance to the market, indicating that land price changes will be more pronounced in areas far from markets and the effects of price cycles in land markets will increase as distance from the market increases. The results obtained in this research support the hypothesis that areas far from end markets are exposed to greater changes in land prices and those same areas are more susceptible to price cycles. The effect on price volatility was also stronger in periods of land price declines. These regions have greater incentives for expansion and investment in periods of land price increase and greater risks of disinvestment and failure in periods of land price contraction. It is difficult to predict when a cycle of expansion or crisis will start or finish, but the present study helps to understand the effects of increases or decreases in land prices when such an event occurs.

Master of Agribusiness / Department of Agricultural Economics / Arlo Biere / The investors I am representing would like to know if they can be successful in the seed industry. They have certain skills and abilities along with industry experience that provides them with certain advantages that would allow them to succeed in the industry. The thesis or study will provide them with a detailed study of the possibilities and the challenges that are before them. To gain insight into positioning a firm in the industry, one must find a tool to help us to discover the answers to the question. I will use "Strategic Visioning in Cascade", this model outlines area of interest such as; a strategic overview, a value proposition, a market analysis, a functional analysis, financial projection and exit strategy in its total. The focus of the study will provide insight into the value proposition and market analysis. The value proposition will follow Michael Porter's Competitive Strategy analogy of cost leadership, differentiation and focus strategies. The market analysis will follow Thompson and Strickland's seven questions that lead to understanding of the selected industry.

Master of Agribusiness / Department of Agricultural Economics / Vincent R. Amanor-Boadu / For more than a decade, the consumption of peanuts as food has been stagnant. This situation has been attributed to several factors. This study seeks to identify and understand some of the factors that have hindered growth in this industry and attempts to present recommendations that will be useful in transforming the peanut industry from stability to growth. We determined that in addition to peanut prices, consumers' income and young children's share of the total population, substitute snack foods such as potatoes chips and popcorn influenced peanut consumption. We also discovered that consumer perception about peanut's fat content and the increasing concern about peanut allergies affected their consumption behavior. The research used data drawn from US Census Bureau, Department of Labor Statistics, National Agricultural Statistics Services, and various industry publications. We suggest that changing the consumption trend lines in the peanut industry can be achieved through effective innovation and focused marketing of the product's health and convenience benefits.

Doctor of Philosophy / Department of Agricultural Economics / John A. Fox / Mail surveys are used to gather information in order to make inferences about populations. This study examines cost effective methods to maximize response rates to a mail survey. A consumer mail survey was developed and used to study consumer demand for safer foods. In addition, the study will verify if additional responses from follow-up mailings changes econometric analysis results, thus validating follow-up mailing costs. A test was created to maximize response rates and incentives were used in both mailings. An Ordinary Least Square (OLS) model was developed to analyze response rates and mail survey costs while a willingness to pay model and an ordered probit were used for the consumer demand analysis. Results showed that when a consumer survey was sent to a city within the school's state no incentive should be included while if sent to a city outside the school's state an incentive should be included. Moreover, if the outcome from the first mailing resulted in a low response rate a monetary incentive should be included in the follow-up mailing to increase response rates. Results from the consumer willingness to pay for irradiated salad greens showed that consumers are willing to pay higher prices for irradiated salad greens. Furthermore, results showed that there is no statistical difference between the coefficients, in both the willingness to pay and the ordered probit, from the model using additional observations from follow-up mailing and the model that included only observations from the first mailing. Even though coefficients were not statistically different in the ordered probit, significance of the marginal effects for some variables were different between models.

Master of Science / Department of Agricultural Economics / Michael W. Woolverton / Globally, the majority of countries now use genetically modified (GM) soybeans to produce oil and meal for livestock and human consumption. Japan, however, uses only Non-GM soybeans for direct human consumption of which more than 80% are imported from the U.S., Canada, and China. This research used the inverse residual demand model to estimate a two-country partial equilibrium trade model to test the existence of market power in the Japanese Non-GM soybean import market. The two-country partial equilibrium trade model incorporated the U.S. residual Non-GM soybean supply for Japan, the Japanese residual demand for U.S. Non-GM soybeans, and the equilibrium condition, where the U.S. residual Non-GM soybean supply equals the Japanese residual Non-GM soybean demand. Monthly data from January 2003 to December 2007 were used for the analysis. Empirical results indicated that U.S. Non-GM soybean exporters have stronger market power than Japanese Non-GM soybean importers. The results also indicate that Japanese consumers are willing to pay higher prices for soybeans, tofu, natto, miso, and other all soy food products.

This study explores the role Comunidad Milpa (Milpa) plays in implementing agroecology food systems in Comunidad Pacheco, Argentina. From teaching residents about food cultivation practices, to the importance of a healthy diet and developing relationship with local agroecology producers, the method builds upon the idea of food sovereignty and self-governance. Research conducted for this study focused on obstacles residents encountered while seeking to incorporate local agroecology foods into their diet. Incentives encouraging residents to support area agroecology efforts were also investigated, as well as barriers producers experienced while marketing their products. Design methods used for the investigation included both qualitative and quantitative methods in the form of surveys and interviews with members and participants of Milpa. Data gathered through both methods resulted in identifying the perspective Milpa participants have of the organization, their food practices and choices, and obstacles food producers encounter within the community.

The survival rate for a suddent cardiac arrest (SCA) is incredibly low, with less than one in ten surviving; most SCAs occur outside of a hospital setting. There is a need to develop an effective and efficient system that can sense, communicate and remediate potential SCA situations on a near real-time basis. This research presents a novel Zeolite-PDMS-based optically unobtrusive flexible dry electrodes for biosignal acquisition from various subjects while at rest and in motion. Two zeolite crystals (4A and 13X) are used to fabricate the electrodes. Three different sizes and two different filler concentrations are compared to identify the better performing electrode suited for electrocardiogram (ECG) data acquisition. A low-power, low-noise amplifier with chopper modulation is designed and implemented using the standard 180nm CMOS process. A commercial off-the-shelf (COTS) based wireless system is designed for transmitting ECG signals. Further, this dissertation provides a framework for Machine Learning Classification algorithms on large, open-source Arrhythmia and SCA datasets. Supervised models with features as the input data and deep learning models with raw ECG as input are compared using different methods. The machine learning tool classifies the datasets within a few minutes, saving time and effort for the physicians. The experimental results show promising progress towards advancing the development of a wireless ECG recording system combined with efficient machine learning models that can positively impact SCA outcomes.