1981
DOI: 10.1016/0167-5826(81)90006-1
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Crop residue supply for energy generation: A prototype application to midwestern U.S.A. grain farms

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Cited by 6 publications
(6 citation statements)
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“…In their model, they considered the sensitivity of grain and residue collection to the availability of days suitable for field work at harvest time. Apland et al [12] employed the discrete stochastic programming model to examine the impact of production process, sequential decision making, and fall field time availability on crop residue supply in midwestern US grain farms. Recently, Erickson and Tyner [13] examined the economics of harvesting corn cobs for energy generation using their farm plan model.…”
Section: Introductionmentioning
confidence: 99%
“…In their model, they considered the sensitivity of grain and residue collection to the availability of days suitable for field work at harvest time. Apland et al [12] employed the discrete stochastic programming model to examine the impact of production process, sequential decision making, and fall field time availability on crop residue supply in midwestern US grain farms. Recently, Erickson and Tyner [13] examined the economics of harvesting corn cobs for energy generation using their farm plan model.…”
Section: Introductionmentioning
confidence: 99%
“…Harvesting only cobs would remove 3 to 10 kg N ha −1 (Table 24|3). Harvesting cellulosic feedstock removes plant nutrients and has the potential to reduce soil fertility (Apland et al, 1981;Smil, 1999;Lal, 2008). It is straightforward to determine nutrient removal from plant concentration and harvest rate, but more diffi cult to predict subsequent impacts on nutrient cycling and availability.…”
Section: Nutrient Managementmentioning
confidence: 99%
“…The importance of these eff ects also depends on the biomass price. Higher biomass prices increase the value of biomass production, so that it may be profi table to incur additional production costs, including paying higher nutrient replacement costs and making expenditures or production changes to reduce interference with grain harvest activities (Apland et al, 1981;Bender et al, 1984).…”
Section: Economic Driversmentioning
confidence: 99%
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