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| Archer, David W.; Gesch, Russell W.. |
| The value of an innovative seed technology is estimated in a discrete stochastic programming framework for a representative farm in the northern Corn Belt. Temperature-activated polymer-coated seed has the potential to increase net returns by increasing yields due to early planting and use of longer season varieties, as well as reducing yield due to early planting and use of longer season varieties, as well as reducing yield loss due to delayed planting. A biophysical simulation model was used to estimate the impact of polymer-coated seed on corn and soybean yields and on field day availability for five planting periods, three crop varieties, and two tillage systems on two different soils under varying weather conditions. |
| Tipo: Journal Article |
Palavras-chave: Biophysical simulation; Corn; Mathematical programming; Soybean; Q12; C61. |
| Ano: 2003 |
URL: http://purl.umn.edu/43198 |
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| Schumann, Keith D.; Conner, J. Richard; Richardson, James W.; Stuth, Jerry W.; Hamilton, Wayne T.; Drawe, D. Lynn. |
| Woody plant encroachment restricts forage production and capacity to produce grazing livestock. Biophysical plant growth simulation and economic simulation were used to evaluate a prescribed burning range management technique. Modeling systems incorporated management practices and costs, historical climate data, vegetation and soil inventories, livestock production data, and historical regional livestock prices. The process compared baseline non-treatment return estimates to expected change in livestock returns resulting from prescribed burning. Stochastic analyses of production and price variability produced estimates of greater net returns resulting from use of prescribed burning relative to the baseline. |
| Tipo: Journal Article |
Palavras-chave: Biophysical simulation; Prescribed burning; Range management; Simulation; Land Economics/Use. |
| Ano: 2001 |
URL: http://purl.umn.edu/15452 |
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| Vassalos, Michael; Dillon, Carl R.; Coolong, Tim. |
| This study combines whole farm economic analysis with biophysical simulation techniques in order to achieve a twofold objective. First, the study seeks to develop a multiple enterprise vegetable farm model with a production and marketing decision interface and, second, to determine optimal production practices for Kentucky vegetable growers. Three vegetable crops are examined: tomatoes, bell peppers and sweet corn. The findings indicate that the risk associated with vegetable production can be significantly mitigated with diversification of production mix and with a greater number of transplanting dates. However, this reduction in risk comes at a high cost in terms of expected net returns. |
| Tipo: Presentation |
Palavras-chave: Vegetable production; Mean-variance; Biophysical simulation; Farm management; Farm Management; C61; C63; D81. |
| Ano: 2012 |
URL: http://purl.umn.edu/120016 |
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| Archer, David W.; Gesch, Russell W.. |
| The value of an innovative new seed technology is evaluated in a discrete stochastic programming framework for a representative farm in the northern Corn Belt. Temperature-activated polymer coated seed has the potential to increase net returns by reducing yield loss due to delayed planting and by increasing the use of longer season varieties. A biophysical simulation model was used to estimate the impact of polymer coated seed on corn and soybean yields and on field day availability for five planting periods, two crop varieties and two tillage systems on two different soils under varying weather conditions. Results show that polymer coated seed increases net returns in corn by $2.50-$3.65 per acre and in soybeans by $4.50-$9.70 per acre. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Mathematical programming; Biophysical simulation; Corn; Soybean; Crop Production/Industries. |
| Ano: 2002 |
URL: http://purl.umn.edu/19640 |
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