The Cotton Wizard: A Software Implementation of a Cotton Variety Selection Model

The Cotton Wizard is an implementation of a cotton variety selection model intended to assist decision-makers (including producers, farm managers, extension specialists, and breeders) in variety selection. The program uses objective cotton performance test data available from state agricultural experiment stations. The decision criteria for variety selection are based on expected economic return (mean net revenue) of a variety and the variability of returns (coefficient of variation). Total revenue is calculated from lint price and seed price, and lint and seed yields. Lint and seed prices are determined by their respective quality characteristics. Adjustments are made for costs that may differ among varieties, such as planting seed cost (seed and technology costs), harvest and ginning costs, and herbicide and insecticide costs in comparisons of transgenic and conventional varieties. Users are provided with information on varieties—such as mean net revenue (total revenue less costs), variability in net revenue, and agronomic characteristics—to aid in the decision process. The Cotton Wizard is available as a Web application.Crop Production/Industries, Farm Management, Production Economics,

FINANCIAL CHARACTERISTICS OF REFRIGERATED FOOD PRODUCTS TRUCKING FIRMS IN THE U.S.

This study provides an overview of the financial characteristics of U. S. refrigerated food products trucking firms as a group and by regions. The analytical tools used for evaluating the financial assessment of the industry were several commonly used liquidity, profitability, and solvency ratios. One of the results reveals that the pre-tax income-to-gross revenue ratio, a measure of profitability, for the firms as a group averaged 0.01. This value means that one-cent of every dollar earned in services ("sales") was available to pay taxes and distribute profits.Agribusiness,

Cropland Rental Tool (CROPRENT) for Agricultural Producers

The Cropland Rental Tool (CROPRENT) is an Excel-based decision tool for comparing different cropland rental agreements, such as flexible cash rents, for up to five crops and/or management systems using historical and current production data, such as yield and production costs. Flexible cash rents allow tenants and landowners to share in the risk associated with volatile commodity prices and uncertain yields. This tool can be used for a variety of commodities regardless of geographic location and by a diverse audience, including Extension educators, landowners, and tenants. The Cropland Rental Tool and accompanying User Manual are available for download

AN ANALYSIS OF MAJOR POULTRY PRODUCTS TRADERS IN WORLD MARKETS

This study evaluates the competitiveness of the United States and other major exporters of poultry products in world markets. The analytical technique used to measure the competitiveness of the major traders was the shift-share analysis model. One of the results from this study reveals that chicken meat exports from the U.S. relative to the countries in the world increased by 1,613,861 metric tons in time period 1985-95.International Relations/Trade,

Adoption of Variability Detection and Variable Rate Application Technologies by Cotton Farmers in Southern United States

A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDT) and the adoption of Variability Rate application Technology (VRT) conditioned on the type of the VDT chosen. The results showed that the farm size and exposure to extension activities are important factors affecting the choice of VDTs. The farmers adopting both soil and plant based VDTs are more likely to adopt VRT. The probability of adoption of VRTs was lower for Texas cotton farmers irrespective of the type of VDT adopted. In general, younger, more educated farmers who use computers for farming operations are more likely to adopt VRT when they choose soil based or both soil and plant based VDT.Precision Agriculture, Technology Adoption, Cotton, Crop Production/Industries, Farm Management, Research and Development/Tech Change/Emerging Technologies, O33, Q16,

AN ANALYSIS OF INTERMODAL INFORMATION TECHNOLOGY USAGE BY INTERMODAL PORTS AND TERMINALS IN THE AGRICULTURAL AND FOOD- PRODUCT MARKET

Agribusiness, Research and Development/Tech Change/Emerging Technologies,

Factors Influencing Adoption of Remotely Sensed Imagery for Site-Specific Management in Cotton Production

This research evaluated the factors that influenced cotton producers to adopt remote sensing for variable rate application of inputs. Farmers who were younger, more highly educated, had a larger farm operation, and were more technologically savvy were more likely to have adopted remote sensing.Crop Production/Industries, Research and Development/Tech Change/Emerging Technologies,

Valuing Transgenic Cotton Technologies Using a Risk/Return Framework

Stochastic Efficiency with Respect to a Function (SERF) is used to rank transgenic cotton technology groups and place an upper and lower bound on their value. Yield and production data from replicated plot experiments are used to build cumulative distribution functions of returns for nontransgenic, Roundup Ready, Bollgard, and stacked gene cotton cultivars. Analysis of Arkansas data indicated that the stacked gene and Roundup Ready technologies would be preferred by a large number of risk neutral and risk averse producers as long as the costs of the technology and seed are below the lower bounds calculated in this manuscript.cotton, financial risk, market value, SERF, transgenic, Agribusiness, Crop Production/Industries, Risk and Uncertainty, Q12, Q16,

Adoption of Conservation-Tillage Practices in Cotton Production

Replaced with revised version of paper 10/23/07.conservation tillage, cotton, genetically modified seed, herbicide-resistant cotton, stacked-gene cotton, simultaneous logit model, single-equation logit model, technology adoption, Crop Production/Industries,

A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers

Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer’s decision to adopt GPS guidance systems.binary logit, cotton, GPS guidance system, marginal effect, precision farming, technology adoption, Agribusiness, Crop Production/Industries, Q2, Q16, Q19, Q20, Q24,