POLYSYS is used to estimate US locations where, for any given energy crop price, energy crop production can be economically competitive with conventional crops. POLYSYS is a multi-crop, multi-sector agricultural model developed and maintained by the University of Tennessee and used by the USDA-Economic Research Service. It includes 305 agricultural statistical districts (ASD) which can be aggregated to provide state, regional, and national information. POLYSYS is being modified to include switchgrass, hybrid poplar, and willow on all land suitable for their production. This paper summarizes the preliminary national level results of the POLYSYS analysis for selected energy crop prices for the year 2007 and presents the corresponding maps (fo...
Production of switchgrass as a dedicated energy crop in the U.S. was proposed as a way to produce va...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.Energy is one of the most imp...
A multiobjective optimization model integrating with high-resolution geographical data was applied t...
The objective of this paper is to systematically assess the cropland acreage that could support ener...
In response to energy security concerns, alternative energy programs such as biomass ene...
Biomass crops (e.g. poplar, willow, switchgrass) could become important feedstocks for power, liquid...
There is growing interest in using perennial grasses as renewable fuels for generating electricity a...
Growing biomass crops for energy production on low productivity lands that are not used for food pro...
The objective of this paper is to determine production costs of switchgrass, eastern gammagrass, and...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A multi-product cost function model was used to analyze energy demand in various agricultural subsec...
Production costs and breakeven prices were calculated for four energy crops plus corn stover. The e...
This study analyzes the potential long-run behavior of U.S . agricultural production under various...
Economic policy-makers are currently concerned with securing new energy sources. One renewable resou...
Energy from the biomass of perennial crops can offset emissions of greenhouse gases from fossil fuel...
Production of switchgrass as a dedicated energy crop in the U.S. was proposed as a way to produce va...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.Energy is one of the most imp...
A multiobjective optimization model integrating with high-resolution geographical data was applied t...
The objective of this paper is to systematically assess the cropland acreage that could support ener...
In response to energy security concerns, alternative energy programs such as biomass ene...
Biomass crops (e.g. poplar, willow, switchgrass) could become important feedstocks for power, liquid...
There is growing interest in using perennial grasses as renewable fuels for generating electricity a...
Growing biomass crops for energy production on low productivity lands that are not used for food pro...
The objective of this paper is to determine production costs of switchgrass, eastern gammagrass, and...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A multi-product cost function model was used to analyze energy demand in various agricultural subsec...
Production costs and breakeven prices were calculated for four energy crops plus corn stover. The e...
This study analyzes the potential long-run behavior of U.S . agricultural production under various...
Economic policy-makers are currently concerned with securing new energy sources. One renewable resou...
Energy from the biomass of perennial crops can offset emissions of greenhouse gases from fossil fuel...
Production of switchgrass as a dedicated energy crop in the U.S. was proposed as a way to produce va...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.Energy is one of the most imp...
A multiobjective optimization model integrating with high-resolution geographical data was applied t...