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| Registros recuperados: 64 | |
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| Mooney, Daniel F.; Roberts, Roland K.; English, Burton C.; Tyler, Donald D.; Larson, James A.. |
| Switchgrass (Panicum virgatum L.) has been identified as a model feedstock for the emerging biofuels industry. Its selection was based, in part, upon the observation that switchgrass can produce high yields in marginal production environments. This trait may become particularly valuable in coming years, as renewable fuel mandates begin to take effect and concerns over the food-versus-fuel debate increase. Relatively little research information exists about how management practices and production costs vary across different production environments. The objectives of this research were (a) to compare switchgrass yields as influenced by seeding rate and nitrogen fertilization rates in low-, intermediate-, and high-yielding switchgrass production environments,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop Production/Industries; International Relations/Trade. |
| Ano: 2008 |
URL: http://purl.umn.edu/6403 |
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| 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 |
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| Larson, James A.; Jaenicke, Edward C.; Roberts, Roland K.; Tyler, Donald D.. |
| A Just-Pope model was developed to assess tillage, nitrogen, weather, and pest effects on risk for cotton grown after alternative winter cover crops. Yield risk for cotton after hairy vetch was less than for cotton with no winter cover when no nitrogen fertilizer was used to supplement the vetch nitrogen. However, because cotton after vetch has a higher production cost, farmers growing conventionally tilled cotton may be slow to adapt because risk-return tradeoffs may be unacceptable under risk neutrality and risk aversion. For risk-averse farmers who have already adopted no tillage, cotton grown after hairy vetch is risk efficient. |
| Tipo: Journal Article |
Palavras-chave: Cover crops; Just-Pope production function; Risk; Tillage; Crop Production/Industries. |
| Ano: 2001 |
URL: http://purl.umn.edu/15458 |
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| Larson, James A.; Mapp, Harry P., Jr.. |
| Producers in southwest Oklahoma lack adequate information about optimal planting decisions for cotton. This study uses a cotton growth simulation model to evaluate alternative cultivar, planting date, irrigation, and harvest choices. Effects of using information about soil moisture at reproduction and revenue loss at harvest in making cultivar and planting data decisions are evaluated. Using soil temperature information to plant at an early date produced high net revenue some years, but reduced mean net revenue and increased risk. Producers maximizing expected net revenue should plant a short-season cultivar in late May and use soil moisture information to schedule irrigation at reproduction. |
| Tipo: Journal Article |
Palavras-chave: Crop Production/Industries. |
| Ano: 1997 |
URL: http://purl.umn.edu/31012 |
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| Mooney, Daniel F.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Larson, James A.; Velandia, Margarita M.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Mishra, Ashok K.; Paxton, Kenneth W.; Rejesus, Roderick M.; Segarra, Eduardo; Wang, Chenggang; Reeves, Jeanne M.. |
| Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey |
| Tipo: Report |
Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. |
| Ano: 2010 |
URL: http://purl.umn.edu/91333 |
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| Velandia, Margarita M.; Lambert, Dayton M.; Mendieta, Maria P.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Rejesus, Roderick M.; Mishra, Ashok K.. |
| Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’ perceptions about the importance of crop consultants, farm input dealerships, Extension, other farmers, trade shows, the Internet and printed news/media for making precision farming decisions using a rank ordered logit model (ROLM). Results suggest that age, land tenure, income, percentage of income from farming, and location may affect farmers’ perceptions about the importance of different information sources when making decisions about precision farming technologies.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Information-source preferences; Rank Ordered Logit Model; Precision Farming; Production Economics; Research Methods/ Statistical Methods; Q16; C25. |
| Ano: 2011 |
URL: http://purl.umn.edu/103752 |
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| 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 |
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| Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Roberts, Roland K.; Larson, James A.; English, Burton C.; Lambert, Dayton M.; Marra, Michele C.; Larkin, Sherry L.; Reeves, Jeanne M.; Martin, Steven W.. |
| Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the role of spatial yield variability on the number of precision farming technologies adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for management decisions... |
| Tipo: Journal Article |
Palavras-chave: Precision technologies; Poisson; Negative binomial count data method; GPS; Education; Cotton; Crop Production/Industries; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. |
| Ano: 2011 |
URL: http://purl.umn.edu/105464 |
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| Larson, James A.; Roberts, Roland K.; Gwathmey, C. Owen. |
| Farmers are concerned about the high cost of planting herbicide-resistant cotton with the high plant densities recommended for ultra-narrow-row cotton. This study evaluated the effects on net revenues of four herbicide-resistant technology fee policies used since 1996 by Monsanto, the technology license holder. Results indicate that changes in the technology fee policy by Monsanto have raised the cost of planting herbicide-resistant cotton. As a consequence, farmers may have an incentive to switch from ultra-narrow-row cotton to wide-row cotton and to use a lower plant density when the technology fee is tied to the seeding rate. |
| Tipo: Journal Article |
Palavras-chave: Profit; Seed cost; Technology fee; Transgenic cotton; Crop Production/Industries. |
| Ano: 2007 |
URL: http://purl.umn.edu/8640 |
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| Pandit, Mahesh; Mishra, Ashok K.; Paudel, Krishna P.; Larkin, Sherry L.; Rejesus, Roderick M.; Lambert, Dayton M.; English, Burton C.; Larson, James A.; Velandia, Margarita M.; Roberts, Roland K.; Kotsiri, Sofia. |
| We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers’ decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision farming for profit reason. Farmers who perceived precision farming to be profitable adopt it to be at the forefront of agricultural technology. We also found that farmers who were concerned with environment emphasize precision farming adoption as a reason to improve environmental quality. Our results also indicate that farmers in coastal states such as Alabama, Mississippi, and North Carolina chose environmental benefits as a reason for precision farming technology... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Precision technologies; Seemingly unrelated ordered probit; Cotton; Agricultural Finance; Farm Management; Q16; C35. |
| Ano: 2011 |
URL: http://purl.umn.edu/98575 |
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| Walton, Jonathan C.; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Larkin, Sherry L.; Martin, Steven W.; Marra, Michele C.; Paxton, Kenneth W.; Reeves, Jeanne M.. |
| Adoption of precision agriculture technology has arrived considerable attention, but abandonment has received little. This paper identified factors motivating adoption and abandonment of precision soils sampling in cotton. Younger producers who farmed more cotton area, owned more of their cropland, planted more non-cotton area, or used a computer were more likely to adopt precision soil sampling. Those with more cotton area or who owned livestock were more likely to abandon, while those who used precision soil sampling longer, or used variable-rate fertilizer application were less likely to abandon precision soil sampling. |
| Tipo: Journal Article |
Palavras-chave: Abandonment; Adoption; Cotton; Precision; Agriculture; Soil sampling; Southeastern United States; Crop Production/Industries. |
| Ano: 2008 |
URL: http://purl.umn.edu/46556 |
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| Registros recuperados: 64 | |
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