The Economics of Stand Life in the Production of Alfalfa

Alfalfa is a crop which once established, can provide production of hay for several years thereafter. The productive years of the established crop are often referred to as the stand life. The life of an alfalfa stand is variable depending on many factors including variety grown, soil, weather conditions during the production period, insect and weed pressures, and of course the management skills of the producer in timely harvesting and other production jobs

An Economic Examination of Kentucky\u27s Potential for Alfalfa Production

In managing a farm successfully, a major decision faced by the farmer is the choice of enterprises and the level of production for each of the enterprises chosen. For each enterprise or combination of enterprises, an initial investment in land, buildings, and machinery is required. The enterprises chosen and the production levels of each enterprise must be sufficient to reward investments above their cost. Once the choice of enterprises is made and investment incurred, little flexibility exists in making changes among enterprises unless some investments are liquidated and new investments made

Impacts of Quality Characteristics on U.S. Cotton Prices and Value

Crop Production/Industries, Demand and Price Analysis,

Principal Component Analysis of Crop Yield Response to Climate Change

The objective of this study is to compare the effects of climate change on crop yields across different regions. A Principal Component Regression (PCR) model is developed to estimate the historical relationships between weather and crop yields for corn, soybeans, cotton, and peanuts for several northern and southern U.S. states. Climate change projection data from three climate models are applied to the estimated PCR model to forecast crop yield response. Instead of directly using weather variables as predictor variables, the PCR model uses weather indices transformed from original weather variables by the Principal Component Analysis (PCA) approach. A climate change impact index (CCII) is developed to compare climate change effects across different regions. The key contribution of our study is in identifying a different climate change effects in crop yields in different U.S. states. Specifically, our results indicate that future warmer weather will have a negative impact for southern U.S. counties, while it has insignificant impact for northern U.S. counties in the next four decades.Principal component regression, Crop yield response, Climate change., Crop Production/Industries,

Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey

Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Surveycotton, precision farming, survey, Agribusiness, Farm Management, Production Economics, Research and Development/Tech Change/Emerging Technologies,

Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Survey

Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Surveycotton, precision farming, survey, Agribusiness, Farm Management, Production Economics, Research and Development/Tech Change/Emerging Technologies,

Economic Significance of Peanut Production and Income to Georgia Farms, Rural Communities

Peanuts accounted for 34 percent of Georgia’s crop income and 13 percent of the State’s total farm income in 1992. The total economic impact of peanut production to the Georgia economy is $1.16 billion annually. Per acre, peanuts provide 2.8 times the debt serving capacity of cotton, 6.1 times that of soybeans and 16.4 times that of corn. The peanut price support and quota program adds economic stability to local economies. The value of peanut quota adds an estimated$48 million to Georgia farmland values, which provides collateral for agricultural lenders. A reduction in peanut prices would adversely reduce farm income and cash-flow, quota values, land values, and the real estate tax base of rural communities. Adverse changes may not alter the comparative advantage of peanuts in Georgia but would result in fewer but larger peanut-producing farms

Economic Significance of Peanut Production and Income to Georgia Farms, Rural Communities

Peanuts accounted for 34 percent of Georgia’s crop income and 13 percent of the State’s total farm income in 1992. The total economic impact of peanut production to the Georgia economy is $1.16 billion annually. Per acre, peanuts provide 2.8 times the debt serving capacity of cotton, 6.1 times that of soybeans and 16.4 times that of corn. The peanut price support and quota program adds economic stability to local economies. The value of peanut quota adds an estimated$48 million to Georgia farmland values, which provides collateral for agricultural lenders. A reduction in peanut prices would adversely reduce farm income and cash-flow, quota values, land values, and the real estate tax base of rural communities. Adverse changes may not alter the comparative advantage of peanuts in Georgia but would result in fewer but larger peanut-producing farms.Peanuts, Peanut programs, Production cost, Farm price supports, Production quotas, Georgia farm income, Agribusiness, Crop Production/Industries,

FARM PLANNING, RISK AVERSION, AND THE RETURNS TO ON-FARM STORAGE FACILITIES

Risk is incorporated into an annual farm-planning model using the MOTAD framework. The availability of on-farm storage is an important and often forgotten resource constraint in the sensitivity of farm plans. Because farm plans are affected by risk aversion, so is the importance of storage facilities. Study results were highly sensitive to storage capacity and generally show that returns to storage are highest at low farmer risk aversion