202 research outputs found
Measuring the Relative Profitability of Mid-South Cotton Production from an Alternative Gin Seed Rebate Model
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
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 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,
MESA and NuGrid simulations of classical novae: CO and ONe nova nucleosynthesis
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 He could be produced {\it in
situ} in solar-composition envelopes accreted with slow rates (\dot{M} <
10^{-10}\,M_\odot/\mbox{yr}) by cold ( K) CO WDs, and that
convection was triggered by He burning before the nova outburst in that
case. In addition, we now find that the interplay between the He 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 ONe
WD with a relatively high initial central temperature, e.g.\ 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
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
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
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,
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,
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