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	Provedor de dados Genet. Mol. Biol. (1) PAB (1) Autor Pirovani,Carlos Priminho (2) Barbosa,Luciana Veiga (1) Carazzolle,Marcelo Falsarella (1) Castilho,Marcelo Santos (1) Ceita,Geruza de Oliveira (1) Gramacho,Karina Peres (1) Góes-Neto,Aristóteles (1) Laranjeira,Delson (1) Luz,Edna Dora Martins Newman (1) Pereira,Gonçalo Amarante Guimarães (1) Ramos,Pablo Ivan Pereira (1) Resende,Mário Lúcio Vilela de (1) Ribeiro Júnior,Pedro Martins (1) Selbach-Schnadelbach,Alessandra (1) Silva,Tacila Ribeiro (1) Tavares,Giltembergue Macedo (1) Vilas-Boas,Laurival Antônio (1) Mais... Palavra-chave Basidiomycota (1) Carica papaya (1) Ergosterol (1) Fungus (1) Glucanase (1) Lignina (1) Peroxidase (1) Phytophthora palmivora (1) Quitinase (1) Theobroma cacao (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2014 (1) 2009 (1) País Brazil (2) Idioma Inglês (1) Português (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 59 Primeira ... 1 2 3 ... Última Alternative Model Selection Using Forecast Error Variance Decompositions in Wholesale Chicken Markets AgEcon McKenzie, Andrew M.; Goodwin, Harold L., Jr.; Carreira, Rita I.. Although Vector Autoregressive models are commonly used to forecast prices, specification of these models remains an issue. Questions that arise include choice of variables and lag length. This article examines the use of Forecast Error Variance Decompositions to guide the econometrician’s model specification. Forecasting performance of Variance Autoregressive models, generated from Forecast Error Variance Decompositions, is analyzed within wholesale chicken markets. Results show that the Forecast Error Variance Decomposition approach has the potential to provide superior model selections to traditional Granger Causality tests. Tipo: Journal Article Palavras-chave: Broiler markets; DAGs; Forecasting; Market structure; VAR; Agribusiness; Demand and Price Analysis; Livestock Production/Industries; Risk and Uncertainty; C53; D4; L1; Q00. Ano: 2009 URL: http://purl.umn.edu/48750 Research on Risks and Forecasting Countermeasures of Hainan Banana Industry AgEcon Liu, Yan-qun; Zeng, Xiao-hong; Fang, Jia. Based on the overviews of the current conditions of Hainan banana industry, the research makes an analysis of the risks faced by Hainan banana industry. They are respectively marketing risks, natural risks, information risks and production risks. In order to promote a sustainable and rapid development of Hainan banana industry, Countermeasures are proposed in the research. The first is to strengthen the leading organization of forecasting mechanisms on banana industry. The second is to establish the forecasting mechanisms on banana industry, including four aspects. They are establishing the subordinate forecasting systems on Hainan banana industry; constructing information collecting and checking mechanisms of banana industry; establishing information... Tipo: Journal Article Palavras-chave: Banana; Risks; Forecasting; Hainan province; China; Agribusiness. Ano: 2011 URL: http://purl.umn.edu/113481 U.S. Cotton Prices and the World Cotton Market; Forecasting and Structural Change AgEcon Isengildina-Massa, Olga; MacDonald, Stephen. This report analyzes recent structural changes in the world cotton industry and develops a statistical model that reflects current drivers of U.S. cotton prices. Legislative changes in 2008 authorized USDA to resume publishing cotton price forecasts for the first time in nearly 80 years. Systematic problems have become apparent in the forecasting models used by USDA and elsewhere, highlighting the need for an updated review of price relationships. A structural break in the U.S. cotton industry occurred in 1999, and world cotton supply has become an important determinant of U.S. cotton prices, along with China’s trade and production policy. The model developed here forecasts changes in the U.S. upland cotton farm price based on changes in U.S. cotton... Tipo: Report Palavras-chave: Forecasting; Cotton; Price; Demand; Trade; Structural change; Farm programs.; Agricultural and Food Policy; Agricultural Finance; Crop Production/Industries; Marketing; Production Economics. Ano: 2009 URL: http://purl.umn.edu/55950 Forecasting Demand for Rural Electric Cooperative Call Center AgEcon Kim, Taeyoon; Kenkel, Philip L.; Brorsen, B. Wade. This research forecasts peak call volume to allow a centralized call center to minimize staffing costs. A Gaussian copula is used to capture the dependence among nonnormal distributions. Peak call volume can be easily and more accurately predicted using the marginal probability distribution with the copula function than without using a copula. The modeling approach allows simulating adding another cooperative. Ignoring the dependence that the copula includes, causes peak values to be underestimated. Tipo: Conference Paper or Presentation Palavras-chave: Call center data; Empirical distribution; Extreme value theory; Forecasting; Gamma distribution; Gaussian copula; Simulation; Agribusiness; Demand and Price Analysis; Research Methods/ Statistical Methods. Ano: 2009 URL: http://purl.umn.edu/46809 Hedonic Price Analysis of Thoroughbred Broodmares in Foal AgEcon Stoeppel, Kelly M.; Maynard, Leigh J.. Thoroughbred broodmares are the foundation of a successful racing operation. This study estimated the impact of breeding, racing, genetic, and market characteristics on broodmare auction prices. Data represent 298 broodmares in foal that were sold in Keeneland's 2005 sale. Prices were most responsive to the sire's stud fee and the broodmare's age, with pronounced day-of-sale effects. Overall valuation structure appeared similar to Neibergs' results using 1996 data. Out-of-sample forecasts were far superior to naive forecasts, but were not accurate enough to use in isolation from other decision aids such as visual inspection of the horse. Tipo: Working or Discussion Paper Palavras-chave: Broodmare; Thoroughbred horses; Hedonic price analysis; Forecasting; Demand and Price Analysis. Ano: 2006 URL: http://purl.umn.edu/31983 MODEL APPLICATIONS FOR THE SPREAD OF NEW PRODUCTS IN HUNGARIAN MARKET CIRCUMSTANCES AgEcon Orova, Irma; Komaromi, Nandor. Getting a new product adopted - even if it has obvious advantages - is difficult. Many innovations require a long period from the time they become available to the time they are widely adopted. This study was conducted to determine some characteristics of new product diffusion processes in Hungarian market circumstances and compare them with the international findings. Having studied a wide variety of diffusion models applied in marketing, the Bass (1969) model seems to be internationally adopted. The parameter values of this model for different products in several countries are available in relative studies. The diffusion of different products were investigated on Hungarian statistical data (e.g. automobile, camcorder, subscription of cellular phone) and... Tipo: Book Palavras-chave: Forecasting; Diffusion models; Regression analyses; International Relations/Trade; Marketing; Research Methods/ Statistical Methods. Ano: 2008 URL: http://purl.umn.edu/43329 Land Use Change and Ecosystem Valuation in North Georgia AgEcon Ngugi, Daniel; Mullen, Jeffrey D.; Bergstrom, John C.. A model of land allocation at the aggregate watershed level was developed assuming profit/net benefit maximization under risk neutrality. The econometric land use model was analyzed as an equation by equation SURE model as all the independent variables were the same for both equations. In analyzing effect of land use change on water quality, we took year 2005 as our baseline and postulated three land use scenarios. We applied Benefit Transfer techniques to value water quality changes resulting from land use change and estimated lower bounds for WTP to improve water quality to meet the FCB criterion for drinking water supply and fishing waters and BOD (DO) criteria for fishing waters. Water quality modeling revealed that land use change would result in... Tipo: Conference Paper or Presentation Palavras-chave: Ecosystem; Economic value; North Georgia; Land use; Land use change; Fish; Water quality; Structural time series; Willingness to pay; Benefit transfer; Forecasting; Vector autoregression; Upper Chattahoochee River; Environmental Economics and Policy; Land Economics/Use. Ano: 2008 URL: http://purl.umn.edu/6119 Forecasting the Path of China's CO2 Emissions: Offsetting Kyoto - and Then Some AgEcon Auffhammer, Maximilian; Carson, Richard T.. Our results suggest that the anticipated path of China's Carbon Dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2015 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial level panel data set from the Chinese Environmental Protection Agency. This dataset contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series models currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence. Tipo: Working or Discussion Paper Palavras-chave: Forecasting; Climate Change; China; Model Selection; Environmental Economics and Policy; Q43; C53. Ano: 2006 URL: http://purl.umn.edu/7197 The Rationality of EIA Forecasts under Symmetric and Asymmetric Loss AgEcon Auffhammer, Maximilian. The United States Energy Information Administration publishes annual forecasts of nationally aggregated energy consumption, production, prices, intensity and GDP. These government issued forecasts often serve as reference cases in the calibration of simulation and econometric models, which climate and energy policy are based on. This study tests for rationality of published EIA forecasts under symmetric and asymmetric loss. We find strong empirical evidence of asymmetric loss for oil, coal and gas prices as well as natural gas consumption, GDP and energy intensity. Tipo: Working or Discussion Paper Palavras-chave: Forecasting; Asymmetric loss; Energy intensity; Energy Information Administration; Resource /Energy Economics and Policy; Q43; C53. Ano: 2005 URL: http://purl.umn.edu/25017 Forecasting Housing Prices under Different Submarket Assumptions AgEcon Chen, Zhuo; Cho, Seong-Hoon; Poudyal, Neelam C.; Roberts, Roland K.. This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information conveyed in different modeling strategies are more accurate and efficient than models that are spatially aggregated, or with submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or public school quality and simple... Tipo: Conference Paper or Presentation Palavras-chave: Clustering; Forecasting; Hedonic price; Housing Submarket; Demand and Price Analysis; C53; R21. Ano: 2007 URL: http://purl.umn.edu/9689 Do Economic Restrictions Improve Forecasts? AgEcon Murphy, Elizabeth A.; Norwood, F. Bailey; Wohlgenant, Michael K.. A previous study showed that imposing economic restrictions improves the forecasting ability of food demand systems, thus warranting their use even when they are rejected in-sample. This article evaluates whether this result is due to economic restrictions enhancing degrees of freedom or containing nonsample information. Results indicate that restrictions improve forecasting ability even when they are not derived from economic theory, but theoretical restrictions forecast best. Tipo: Journal Article Palavras-chave: Demand systems; Economic restrictions; Forecasting; Representative consumer; B4; C1; C3; C5. Ano: 2004 URL: http://purl.umn.edu/43447 Forecasting Hog Prices with a Neural Network AgEcon Hamm, Lonnie; Brorsen, B. Wade. Neural network models were compared to traditional forecasting methods in forecasting the quarterly and monthly farm price of hogs. A quarterly neural network model forecasted poorly in comparison to a quarterly econometric model. A monthly neural network model outperformed a monthly ARIMA model with respect to the mean square error criterion and performed similarly to the ARIMA model with respect to turning point accuracy. The more positive results of the monthly neural network model in comparison to the quarterly neural network model may be due to nonlinearities in the monthly data which are not in the quarterly data. Tipo: Journal Article Palavras-chave: Forecasting; Hog prices; Neural networks; ARIMA; Econometric; Agribusiness; Livestock Production/Industries. Ano: 1997 URL: http://purl.umn.edu/90646 SOME ASPECTS OF ACCOUNTING AND MANAGEMENT ACCOUNTING DURING ECOCONOMIC DOWNTURNS AgEcon Dekan, Tamas. Economic slowdown and downturn creates new situation for every organisation, no one can avoid facing to new situation created by the global financial-, and economic crisis. All of the organisational function should reconsider its own role within the company due to the new circumstances, Accounting and Mangement Accounting can not be exception, but they have more complex and emphasized role in these difficult times. In the following paper I can not avoid to mention some general statement about importance of accounting and accounting principles, while there are a number of critical accounting and financial reporting issues that accountants and auditors should consider. In the framework of the paper I can not face with all relevant issues of the topic, but... Tipo: Journal Article Palavras-chave: Economic downturn; Management accounting; Working capital; Forecasting; Tools; Agribusiness; Community/Rural/Urban Development; Teaching/Communication/Extension/Profession. Ano: 2009 URL: http://purl.umn.edu/53537 A glimpse of the future in animal nutrition science. 2. Current and future solutions R. Bras. Zootec. Tedeschi,Luis Orlindo; Fonseca,Mozart Alves; Muir,James Pierre; Poppi,Dennis P.; Carstens,Gordon E.; Angerer,Jay P.; Fox,Danny Gene. ABSTRACT Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in... Tipo: Info:eu-repo/semantics/article Palavras-chave: Forecasting; Livestock; Ruminant; Solutions; Production; Vision. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000500452 การใช้กับดักแสงไฟคาดการณ์การระบาดของเพลี้ยกระโดดสีน้ำตาลในจังหวัดปราจีนบุรี Thai Agricultural Wannaphan Janlapha; Chalermpol Chalermpolyotin. Major pest in irrigated rice growing area of central and lower northern region since 1975 is brown planthopper. The factors of BPH outbreak are varieties seed rate fertilizer use misuse of chemical. The monitoring of population density is very important for forecasting the BPH outbreak. Light trap, an effective tool for monitoring the outbreak of BPH was conducted in hot spot areas. Light trap was set in Prachin Buri Rice Research Center while surveying in farmers’ field in hot spot areas of outbreak in Prachin Buri province were investigated during January 2011 to December 2012. The number of BPH from light trap was counted everyday throughout the year. The results showed that light trap could collect large number of BPH. The peak of BPH in light trap... Tipo: PhysicalObject Palavras-chave: Brown planthopper; BPH; Nilaparvata lugens; Mirid bug; Natural enemy; Outbreak; Forecasting; Surveying; Light trap; Prachin Buri province; เพลี้ยกระโดดสีน้ำตาล; มวนเขียวดูดไข่; แมลงศัตรูธรรมชาติ; กับดักแสงไฟ; การสุ่มสำรวจ; การคาดการณ์การระบาด; การระบาดของแมลงศัตรูพืช; จังหวัดปราจีนบุรี. Ano: 2013 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5707 การคาดการณ์การระบาดของเพลี้ยกระโดดหลังขาวในจังหวัดเชียงรายโดยใช้กับดักแสงไฟ Thai Agricultural Nootjarin Jungkhun; Wasan Chaichana; Nawarat Wongkom. Whitebacked Planthopper (WBPH), Sogatella furcifera (Horvath) has been a major pest in irrigated rice growing areas of Chiang Rai province since 2003. Light trap, an effective tool for monitoring the outbreaks of WBPH was conducted in hot spot areas. A light trap was set in Chiang Rai Rice Research Center while surveying in farmers’ fields in Chiang Rai province were investigated during January 2009 to December 2010. The number of WBPH caught from light trap was counted everyday throughout the year. The results showed that light trap could collect a large number of WBPH. The peak of WBPH in light trap was 9,703 hoppers/trap/month which related to the WBPH outbreak in farmers’ fields. Tipo: Collection Palavras-chave: Forecasting; Outbreak; Whitebacked planthopper; Chiang Rai province; Rice; ข้าว; แมลงศัตรูข้าว; เพลี้ยกระโดดหลังขาว; ความหนาแน่นของประชากร; กับดักแสงไฟ; การระบาดของแมลงศัตรู; การคาดการณ์; จ.เชียงราย. Ano: 2011 URL: http://anchan.lib.ku.ac.th/agnet/handle/123456789/3107 Role of automation agents in agribusiness decision support systems Agrociencia Pavlovic,Martin; Koumboulis,Fotis N.; Tzamtzi,Maria P.; Rozman,Crtomir. Various automation agents can be embedded in a modern Decision Support System in agriculture, based on the following design approaches: E-Learning Agent, Monitoring Agent, Fault Diagnosis Agent, Weather Information Agent, E-Commerce Agent and Logistics Agent. The proposed Agents contribute to farmers' education, to timely correct fault diagnosis and the incorporation of modern agricultural techniques. Moreover, they allow processing historical data, while taking into account several factors in order to support decision making. The preliminary Automation Agents for Decision Support Systems (AADSS) model idea may be applied to various agribusiness activities on international level. Moreover, an operator agent is proposed, that exploits technological and... Tipo: Info:eu-repo/semantics/article Palavras-chave: Applied computer modelling; Decision support systems; Forecasting; IHGC; Information management. Ano: 2008 URL: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-31952008000800006 HIV-1 mother-to-child transmission in Brazil (1994-2016): a time series modeling BJID Coelho,Antonio Victor Campos; Coelho,Hemílio Fernandes Campos; Arraes,Luiz Cláudio; Crovella,Sergio. Abstract HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994-2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers' data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT... Tipo: Info:eu-repo/semantics/article Palavras-chave: HIV-1; Vertical transmission; Perinatal transmission; Biostatistics; Epidemiology; Forecasting. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702019000400218 Multivariate analysis and neural networks application to price forecasting in the Brazilian agricultural market Ciência Rural Pinheiro,Carlos Alberto Orge; Senna,Valter de. ABSTRACT: The purpose of this study is to apply the methodology proposed by PINHEIRO & SENNA (2015) to a set of agricultural products traded in Brazil. The multivariate and nonlinear character of this methodology has shown to be suitable, as compared to the neural network model, since it allows for a better predictive performance. Results obtained in an out-of-sample period, by using the calculated error and statistical test, confirmed this statement. This study will be useful to farmers as price forecasting based on their tendency is relevant. Tipo: Info:eu-repo/semantics/article Palavras-chave: Neural networks; Multivariate analysis; Agricultural products; Forecasting. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100931 Registros recuperados: 59 Primeira ... 1 2 3 ... Última

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