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Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps Genet. Mol. Biol.
Nascimento,Moysés; Cruz,Cosme Damião; Peternelli,Luiz Alexandre; Campana,Ana Carolina Mota.
The efficiency of simulated annealing algorithms and rapid chain delineation in establishing the best linkage order, when constructing genetic maps, was evaluated. Linkage refers to the phenomenon by which two or more genes, or even more molecular markers, can be present in the same chromosome or linkage group. In order to evaluate the capacity of algorithms, four F2 co-dominant populations, 50, 100, 200 and 1000 in size, were simulated. For each population, a genome with four linkage groups (100 cM) was generated. The linkage groups possessed 51, 21, 11 and 6 marks, respectively, and a corresponding distance of 2, 5, 10 and 20 cM between adjacent marks, thereby causing various degrees of saturation. For very saturated groups, with an adjacent distance...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Better order; Genetic mapping; Genomic analyses; Stochastic optimization.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000200032
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Subsurface Drip Irrigation Versus Center-Pivot Sprinkler for Applying Swine Effluent to Corn AgEcon
Carreira, Rita I.; Stoecker, Arthur L.; Epplin, Francis M.; Hattey, Jeffory A.; Kizer, Michael A..
A risk-averse irrigated corn producer would be better off choosing the more expensive subsurface drip irrigation (SDI) over center-pivot sprinkler (CPS), given limited aquifer life and swine effluent and urea fertilization. A stochastic optimization using EPIC data maximized expected utility of 100 years' worth of net revenues for a quarter section. Phosphorus accumulation was more likely with the CPS than with the SDI but soil nitrogen was constant under both systems. SDI conserves more water than CPS per acre but depletes the aquifer faster because a greater area is irrigated. These results were invariant in the sensitivity analysis.
Tipo: Journal Article Palavras-chave: Aquifer depletion; Center-pivot sprinkler irrigation; Certainty equivalent; Corn irrigation; Mathematical programming; Risk; Stochastic optimization; Subsurface drip irrigation; Crop Production/Industries; C61; C65; Q12; Q30; Q53.
Ano: 2006 URL: http://purl.umn.edu/43783
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Valuing Private Sector Incentives to Invest in Food Protection Measures in the Milk and Green Onion Sectors AgEcon
Lewis, Andrew; Nganje, William E.; Mattson, Jeremy W.; Miljkovic, Dragan; Wilson, William W..
This study provides a framework to value investment strategies to mitigate possible agro-terrorism occurrences in the food supply chain and to determine where these investments would reduce the most risk. This framework is applied to two food sectors that could be at risk: milk and green onions. Stochastic optimization is used to determine the costs and risk premiums of alternative tracking strategies. The real options method along with a portfolio of options, also referred to as the "tomato garden" framework, is used to determine where and when alternative intervention strategies should be implemented to reduce the most risk. Finally, policy implications are derived on the cost-risk tradeoffs, probability of attacks, and containment efforts if there...
Tipo: Report Palavras-chave: Agro-terrorism; Stochastic optimization; Real options; Game theory; Milk; Green onions; Food Consumption/Nutrition/Food Safety.
Ano: 2007 URL: http://purl.umn.edu/7630
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Sophisticated Program Planning Approaches Generate Large Benefits in High Risk Crop Farming AgEcon
Musshoff, Oliver; Hirschauer, Norbert.
Agricultural production relies to a great extent on biological processes in natural environments. In addition to volatile prices, it is thus heavily exposed to risks caused by the variability of natural conditions such as rainfall, temperature and pests. With a view to the apparently lacking support of risky farm production program decisions through formal planning models, the objective of this paper is to examine whether, and eventually by how much, farmers’ “intuitive” program decisions can be improved through formal statistical analyses and stochastic optimization models. In this performance comparison, we use the results of the formal planning approach that are generated in a quasi ex-ante analysis as a normative benchmark for the empirically observed...
Tipo: Conference Paper or Presentation Palavras-chave: Stochastic optimization; Stochastic processes; Production risk; Program planning; Time series analysis; C1; C61; M11; Q12.
Ano: 2008 URL: http://purl.umn.edu/36865
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Improved Program Planning Generates Large Benefits in High Risk Crop Farming – A Profitable Application of Time Series Models and Stochastic Optimization AgEcon
Musshoff, Oliver; Hirschauer, Norbert.
Agricultural production relies to a great extent on biological processes in natural environments. In addition to volatile prices, it is thus heavily exposed to risks caused by the variability of natural conditions such as rainfall, temperature and pests. With a view to the apparently lacking support of risky farm production program decisions through formal planning models, the objective of this paper is to examine whether, and eventually by how much, farmers’ “intuitive” program decisions can be improved through formal statistical analyses and stochastic optimization models. In this performance comparison, we use the results of the formal planning approach that are generated in a quasi ex-ante analysis as a normative benchmark for the empirically observed...
Tipo: Conference Paper or Presentation Palavras-chave: Stochastic optimization; Program planning; Time series analysis; Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/44174
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Stochastic Optimization: An Application to Sub-Arctic Dairy Farming AgEcon
Asheim, Leif Jarle; Richardson, James W.; Schumann, Keith D.; Feldman, Paul A..
The paper demonstrates how a deterministic farm linear programming (LP) model can be made stochastic and simulated using Solver and Simetar© in Excel©. The demonstration is conducted with an LP-model for a dairy farm for a sub arctic region of Norway. The income risks arising from variation in milk and crop yields due to winter damage in leys and pastures have been quantified for farms demonstrating low, medium and high forage yield risk. The estimated distribution of farm profit will be skewed to the left, indicating a downside risk. In the presence of risks, farmers maximize income by producing the milk quota with using surplus forage for meat production. The analysis demonstrated here may assist farmers and farm managers in improving sensitivity...
Tipo: Conference Paper or Presentation Palavras-chave: Dairy production; Northern Norway; Stochastic optimization; Stochastic simulation; Yield risks; Livestock Production/Industries.
Ano: 2005 URL: http://purl.umn.edu/24253
Registros recuperados: 6
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