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Registros recuperados: 24 | |
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Souza,Emanuel Fernando Maia de; Peternelli,Luiz Alexandre; Barbosa,Márcio Henrique Pereira. |
The objective of this work was to compare the relative efficiency of initial selection and genetic parameter estimation, using augmented blocks design (ABD), augmented blocks twice replicated design (DABD) and group of randomised block design experiments with common treatments (ERBCT), by simulations, considering fixed effect model and mixed model with regular treatment effects as random. For the simulations, eight different conditions (scenarios) were considered. From the 600 simulations in each scenario, the mean percentage selection coincidence, the Pearsons´s correlation estimates between adjusted means for the fixed effects model, and the heritability estimates for the mixed model were evaluated. DABD and ERBCT were very similar in their comparisons... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Augmented design; Incomplete block; Selection; Heritability; Sugarcane; Stochastic simulation. |
Ano: 2006 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2006000300001 |
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Berg, Ernst; Schmitz, Bernhard; Starp, Michael; Trenkel, Hermann. |
The risks associated with farming activities are likely to increase in the future. It, therefore, appears worthwhile to analyse new risk management instruments. This paper investigates weather derivatives for which a market has already emerged in the USA. Contrary to traditional financial derivatives, their payoff is determined by future weather events, such as temperature or precipitation. Thus, they hedge risks which result from climate. Since they address production risks they are complementary to instruments that hedge price risks, such as future markets. The objective of the paper is to evaluate the economic impacts of weather derivatives and to assess their potential as farm level instruments of risk management. After outlining the main... |
Tipo: Journal Article |
Palavras-chave: Weather derivatives; Weather risk; Risk management; Stochastic simulation; Financial Economics; Risk and Uncertainty. |
Ano: 2005 |
URL: http://purl.umn.edu/97213 |
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Ray, Daryll E.; Richardson, James W.; Torre Ugarte, Daniel de la; Tiller, Kelly. |
Using a stochastic version of the POLYSYS modeling framework, an examination of projected variability in agricultural prices, supply, demand, stocks, and incomes is conducted for corn, wheat, soybeans, and cotton during the 1998-2006 period. Increased planting flexibility introduced in the 1996 farm bill results in projections of significantly higher planted acreage variability compared to recent historical levels. Variability of ending stocks and stock-to-use ratios is projected to be higher for corn and soybeans and lower for wheat and cotton compared to the 1986-96 period. Significantly higher variability is projected for corn prices, with wheat and soybean prices also being more variable. No significant change in cotton price variability is projected. |
Tipo: Journal Article |
Palavras-chave: POLYSYS model; Price variability; Stochastic simulation; Crop Production/Industries. |
Ano: 1998 |
URL: http://purl.umn.edu/15100 |
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Keil, Alwin; Teufel, Nils; Gunawan, Dodo; Leemhuis, Constanze. |
Crop production in the tropics is subject to considerable climate variability caused by the El Niño-Southern Oscillation (ENSO) phenomenon. In Southeast Asia, El Niño causes comparatively dry conditions leading to substantial declines of crop yields with severe consequences for the welfare of local farm households. Using a modelling approach that combines regression analysis with linear programming and stochastic simulation, and integrates climatic and hydrologic modelling results, the objective of this paper is to assess the impact of El Niño on agricultural incomes of smallholder farmers in Central Sulawesi, Indonesia, and to identify suitable crop management strategies to mitigate the income depressions. The results contribute to the formulation of... |
Tipo: Conference Paper or Presentation |
Palavras-chave: ENSO; Risk management; Linear programming; Stochastic simulation; Indonesia; Farm Management. |
Ano: 2007 |
URL: http://purl.umn.edu/7942 |
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Registros recuperados: 24 | |
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