202 research outputs found

    Measuring the Relative Profitability of Mid-South Cotton Production from an Alternative Gin Seed Rebate Model

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    The purpose of this paper is to assess the opportunity returns forgone to cotton producers in the lower Mid-South region of the United States for growing cotton, compared to alternative commodities. We calculate the actual net returns per acre for selected cotton-producing counties in Arkansas, Louisiana, and Mississippi. In addition, we calculate the opportunity returns per acre if the acres planted in cotton were planted in the highest net return commodity per acre between corn and soybeans during the period 1997 through 2008. Our results find that producers in these cotton producing-counties faced sizeable opportunity revenues foregone averaging 43% between 2003 and 2008. Most observers of the cotton industry would argue that these foregone revenues are a function of historical cotton producers not planting a higher proportion of their acreage in the more-profitable corn enterprise in 2007 and 2008. However, opportunity revenues per acre foregone averaged 37% in the 2007-08 period. This finding suggests that cotton producers recognized a few years prior to the corn price spike in 2007 that alternative commodities, such as corn and soybeans, would generate greater returns on their land. Our research suggests that the higher corn price helped push cotton producers over the edge into planting a greater percentage of their acreage in alternative commodities.cotton ginning, returns above variable costs, cotton, corn, soybeans, Production Economics, Q10,

    Understanding the Interaction Between Cotton Ginning and Rural Economics in the Mid-South Under A Changing Cotton Environment

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    This study estimates economic impact of ginning on Mid-South states applying input-output analysis to gin cost data. Results indicated that cotton ginning activity in the Mid-South generated over 258millionindirectoutputeffectsduring2007and258 million in direct output effects during 2007 and 438 million in total effects with a multiplier of 2.39.cotton, cotton ginning, economic impact, multiplier, Mid-South, input-output, Agribusiness, Community/Rural/Urban Development, R15,

    Oral Bioavailability and Disposition of Phytochemicals

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    MESA and NuGrid simulations of classical novae: CO and ONe nova nucleosynthesis

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    Classical novae are the result of thermonuclear flashes of hydrogen accreted by CO or ONe white dwarfs, leading eventually to the dynamic ejection of the surface layers. These are observationally known to be enriched in heavy elements, such as C, O and Ne that must originate in layers below the H-flash convection zone. Building on our previous work, we now present stellar evolution simulations of ONe novae and provide a comprehensive comparison of our models with published ones. Some of our models include exponential convective boundary mixing to account for the observed enrichment of the nova ejecta even when accreted material has a solar abundance distribution. Our models produce maximum temperature evolution profiles and nucleosynthesis yields in good agreement with models that generate enriched ejecta by assuming that the accreted material was pre-mixed. We confirm for ONe novae the result we reported previously, i.e.\ we found that 3^3He could be produced {\it in situ} in solar-composition envelopes accreted with slow rates (\dot{M} < 10^{-10}\,M_\odot/\mbox{yr}) by cold (TWD<107T_{\rm WD} < 10^7 K) CO WDs, and that convection was triggered by 3^3He burning before the nova outburst in that case. In addition, we now find that the interplay between the 3^3He production and destruction in the solar-composition envelope accreted with an intermediate rate, e.g.\ \dot{M} = 10^{-10}\,M_\odot/\mbox{yr}, by the 1.15M1.15\,M_\odot ONe WD with a relatively high initial central temperature, e.g.\ TWD=15×106T_{\rm WD} = 15\times 10^6 K, leads to the formation of a thick radiative buffer zone that separates the bottom of the convective envelope from the WD surface. (Abridged)Comment: 19 pages, 23 figures, 2 tables, accepted to publication by MNRA

    Changes in Producers’ Perceptions of Within-field Yield Variability Following Adoption of Cotton Yield Monitors

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    Precision Farming, Risk, Yield Monitor, Yield Variability, Yield Perceptions, Spatial Yield Distributions, Within Field Variability, Farm Management, Production Economics, Risk and Uncertainty, Q12, Q16,

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

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    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,

    Adoption of Conservation-Tillage Practices in Cotton Production

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    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

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    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,

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

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    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,
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