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	Provedor de dados AgEcon (10) Autor Shurley, W. Donald (10) Cochran, Rebecca L. (4) English, Burton C. (4) Goodman, W. Robert (4) Larkin, Sherry L. (4) Larson, James A. (4) Marra, Michele C. (4) Martin, Steven W. (4) Reeves, Jeanne M. (4) Roberts, Roland K. (4) Flanders, Archie (2) Gunter, Lewell F. (2) White, Fred C. (2) Bergstrom, John C. (1) Brown, Steve M. (1) Cai, Ruohong (1) Meeks, Timothy A. (1) Mullen, Jeffrey D. (1) Musser, Wesley N. (1) Paxton, Kenneth W. (1) Mais... Palavra-chave Cotton (4) Crop Production/Industries (4) Agribusiness (3) Precision farming (3) Production Economics (3) Research and Development/Tech Change/Emerging Technologies (3) Farm Management (2) Peanuts (2) Q12 (2) Q16 (2) Survey (2) C61 (1) Climate change. (1) Cotton production technologies (1) Crop yield response (1) D21 (1) Demand and Price Analysis (1) Farm price supports (1) Georgia farm income (1) Grid soil sampling (1) Mais... Tipo do documento Journal Article (5) Conference Paper or Presentation (2) Report (2) Working or Discussion Paper (1) Ano 2011 (1) 2007 (1) 2006 (1) 2005 (1) 2004 (2) 2003 (1) 2002 (1) 1993 (1) 1980 (1) Mais... País United States (10) Idioma Inglês (10)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 10 Primeira ... 1 ... Última Impacts of Quality Characteristics on U.S. Cotton Prices and Value AgEcon Wu, Ya; Gunter, Lewell F.; Shurley, W. Donald. Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Demand and Price Analysis. Ano: 2007 URL: http://purl.umn.edu/9742 Profitability and Resource Allocation Among Cotton and Peanuts When Considering Planting and Harvest Timeliness AgEcon Meeks, Timothy A.; Flanders, Archie; Shurley, W. Donald; White, Fred C.; Gunter, Lewell F.. Harvest timeliness is a continual problem in rotation of cotton and peanuts. Efficient allocation of land and labor resources during production of cotton and peanuts requires decisions be made on allocating resources throughout the growing season. Of particular concern is efficient allocation during planting and harvesting. Through economic analysis and linear programming optimization, planting and harvesting timeliness issues are addressed and compared with prevailing practices. Results for a representative farm indicate that cotton planting should increase during the early period of the planting season as compared with current practice, and most cotton should be harvested before peanut harvest begins. Tipo: Journal Article Palavras-chave: Cotton; Harvest timeliness; Linear programming; Optimization; Peanuts; Planting timeliness; Crop Production/Industries; Production Economics; Q12; Q18. Ano: 2005 URL: http://purl.umn.edu/43736 Economic Significance of Peanut Production and Income to Georgia Farms, Rural Communities AgEcon Shurley, W. Donald. 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... Tipo: Journal Article Palavras-chave: Peanuts; Peanut programs; Production cost; Farm price supports; Production quotas; Georgia farm income; Agribusiness; Crop Production/Industries. Ano: 1993 URL: http://purl.umn.edu/62331 ADOPTION OF SPATIAL INFORMATION GATHERING TECHNOLOGIES AND VARIABLE RATE INPUT APPLICATION TECHNOLOGIES BY COTTON FARMERS IN THE SOUTHEAST AgEcon Martin, Steven W.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Shurley, W. Donald; Reeves, Jeanne M.. Probit analysis identified factors influencing adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important possibly because custom hiring shifts the burden of computer use to agribusiness firms. Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies. Ano: 2004 URL: http://purl.umn.edu/34768 Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Survey AgEcon Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Reeves, Jeanne M.; Shurley, W. Donald. Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Survey Tipo: Report Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. Ano: 2002 URL: http://purl.umn.edu/91331 AN E-V ANALYSIS OF BEEF CALF BACKGROUNDING SYSTEMS IN GEORGIA AgEcon Musser, Wesley N.; Shurley, W. Donald; Williams, Floyd W.. Tipo: Journal Article Palavras-chave: Livestock Production/Industries. Ano: 1980 URL: http://purl.umn.edu/29492 Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming AgEcon Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Shurley, W. Donald; Reeves, Jeanne M.. Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmer who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms. Tipo: Journal Article Palavras-chave: Cotton; Grid soil sampling; Precision farming; Probit; Sample selection; Site-specific information; Technology adoption; Variable-rate application; D21; Q12; Q16. Ano: 2004 URL: http://purl.umn.edu/42943 Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey AgEcon Cochran, Rebecca L.; Roberts, Roland K.; English, Burton C.; Larson, James A.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Paxton, Kenneth W.; Shurley, W. Donald; Reeves, Jeanne M.. Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey Tipo: Report Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. Ano: 2006 URL: http://purl.umn.edu/91332 Principal Component Analysis of Crop Yield Response to Climate Change AgEcon Cai, Ruohong; Bergstrom, John C.; Mullen, Jeffrey D.; Wetzstein, Michael E.; Shurley, W. Donald. 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... Tipo: Working or Discussion Paper Palavras-chave: Principal component regression; Crop yield response; Climate change.; Crop Production/Industries. Ano: 2011 URL: http://purl.umn.edu/103947 Profit and Variance Analysis of Cotton Production Technologies and Rotation Crops in Georgia AgEcon Flanders, Archie; White, Fred C.; Shurley, W. Donald; Brown, Steve M.. Genetically modified cotton varieties have the potential for increasing returns and/or decreasing labor requirements. A nonlinear optimization model is applied to a whole farm analysis for evaluating cotton production technologies. This model maximizes farm utility, composed of expected returns and their variability, at various risk aversion levels in order to evaluate cotton production technologies. Results show that while conventional cotton maximizes utility in a risk-neutral situation, transgenic cotton varieties entered into the optimal solutions as higher levels of risk aversion were considered. Tipo: Journal Article Palavras-chave: Cotton production technologies; Mathematical optimization; Risk aversion; Whole farm analysis; C61; Q16. Ano: 2003 URL: http://purl.umn.edu/43204 Registros recuperados: 10 Primeira ... 1 ... Última

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