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A influência da exportação de açúcar no porto de Santos sobre o frete rodoviário do fertilizante no estado de São Paulo AgEcon
Antonio, Joao Paulo Gomes Rigueiral e; Carvalho, Leandro Bernardino de.
This survey has the purpose to prove as and how much the volume of exported sugar by Santos port interferes in the freight value negotiated for fertilizer distribution for the final customer, in São Paulo State. For people who are directly connected to fertilizer logistic, it is very important to have knowledge of how this variable impact in its market and so, it is possible to plan and make feasible differential logistic strategies to can provide more competitiveness for its business. Through statistics methodology, it is possible to observe and quantify the influence of main variable that has interference in the delivery road freight to the final customer. Based on this, it will be able to conclude that the logistic linking between sugar and fertilizer...
Tipo: Journal Article Palavras-chave: Agro-industrial logistic; Linear regression; Pearson's correlation; Distribution of fertilizer; Marketing.
Ano: 2007 URL: http://purl.umn.edu/54600
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Adaptabilidade e estabilidade do rendimento de graos de genotipos de feijao. Repositório Alice
PIANA, C. F. de B.; ANTUNES, I. F.; SILVA, J. G. C. da; SILVEIRA, E. P..
Efetuaram-se analises de adaptabilidade e estabilidade do rendimento de graos de onze genotipos de feijao (Phaseolus vulgaris L.) de ensaios conduzidos em 23 municipios do Rio Grande do Sul, de 1988/89 a 1993/94, compreendendo 72 ambientes, visando identificar genotipos mais adequados para cultivo no Estado e utilizacao em programas de melhoramento. Foram avaliados os genotipos Rio Tibagi, Guateian 6662, EMPASC 201, FT 120, Macanudo, Pampa, Minuano, Macotaco, CNF 5491, Carioca e Irai. Utilizou-se o metodo de regressao linear segmentada com estimacao da juncao dos segmentos. A ausencia de alteracoes significativas das taxas de respostas lineares individuais dos genotipos indicou o metodo de regressao linear simples como mais apropriado. Os genotipos...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Phaseolus vulgaris; Regressao linear; Regressao segmentada; Linear regression; Segmented regression.
Ano: 1999 URL: http://www.alice.cnptia.embrapa.br/handle/doc/84390
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Ajustamento da equacao de chuvas intensas para a localidade de Sete Lagoas, MG, por regressao linear multipla. Repositório Alice
MAGALHAES, P. S. de S..
A partir da serie historica dos registros de precipitacao disponiveis para a localidade de Sete Lagoas, MG, os parametros caracteristicos, duracao, intensidade e frequencia foram ajustados na Equacao de chuvas intensas, por Regressao Linear Multipla.
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Meteorologia; Chuva; Regressao linear; Brasil; Minas Gerais; Sete Lagoas; Meteorology; Rain; Linear regression; Meteorologia; Chuva; Meteorology; Rain.
Ano: 1983 URL: http://www.alice.cnptia.embrapa.br/handle/doc/132502
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Almacenamiento de carbono en bosques manejados de pinus patula: Estimación mediante percepción remota Colegio de Postgraduados
Aguirre Salado, Carlos Arturo.
Se presenta la metodología y los resultados obtenidos sobre estimación de almacenamiento de carbono mediante técnicas de percepción remota en bosques manejados de Pinus patula en Zacualtipán, Hidalgo, México; la cual surge como una necesidad de monitoreo de los recursos forestales a partir de los compromisos adquiridos por México en el Protocolo de Kyoto para aminorar el inminente cambio climático causado por los denominados gases invernadero (CO2). En esta tesis se estudia principalmente el carbono (CHA) (Mg/ha) aunque preliminarmente resulta necesaria la cuantificación de biomasa (BHA) (Mg/ha). De manera paralela también se estudian algunos parámetros forestales de densidad como índice de área foliar (IAF) (m2/ m2), cobertura arbórea (COB) (%), área...
Palavras-chave: Carbono; Índice de área foliar; Cobertura arbórea; Regresión lineal; K-nn; Percepción remota; SPOT 5; Fotografía hemisferica; Bosque de Pinus patula. Carbon; Leaf area index; Canopy closure; Linear regression; K-nn; Remote sensing; SPOT 5; Hemispherical photography; Pinus patula forest..
Ano: 2012 URL: http://hdl.handle.net/10521/849
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Almacenamiento de carbono en bosques manejados de pinus patula: Estimación mediante percepción remota Colegio de Postgraduados
Aguirre Salado, Carlos Arturo.
Se presenta la metodología y los resultados obtenidos sobre estimación de almacenamiento de carbono mediante técnicas de percepción remota en bosques manejados de Pinus patula en Zacualtipán, Hidalgo, México; la cual surge como una necesidad de monitoreo de los recursos forestales a partir de los compromisos adquiridos por México en el Protocolo de Kyoto para aminorar el inminente cambio climático causado por los denominados gases invernadero (CO2). En esta tesis se estudia principalmente el carbono (CHA) (Mg/ha) aunque preliminarmente resulta necesaria la cuantificación de biomasa (BHA) (Mg/ha). De manera paralela también se estudian algunos parámetros forestales de densidad como índice de área foliar (IAF) (m2/ m2), cobertura arbórea (COB) (%), área...
Tipo: Tesis Palavras-chave: Carbono; Índice de área foliar; Cobertura arbórea; Regresión lineal; K-nn; Percepción remota; SPOT 5; Fotografía hemisferica; Bosque de Pinus patula.; Carbon; Leaf area index; Canopy closure; Linear regression; K-nn; Remote sensing; SPOT 5; Hemispherical photography; Pinus patula forest..
Ano: 2007 URL: http://hdl.handle.net/10521/1172
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Almacenamiento de carbono en bosques manejados de pinus patula: Estimación mediante percepción remota Colegio de Postgraduados
Aguirre Salado, Carlos Arturo.
Se presenta la metodología y los resultados obtenidos sobre estimación de almacenamiento de carbono mediante técnicas de percepción remota en bosques manejados de Pinus patula en Zacualtipán, Hidalgo, México; la cual surge como una necesidad de monitoreo de los recursos forestales a partir de los compromisos adquiridos por México en el Protocolo de Kyoto para aminorar el inminente cambio climático causado por los denominados gases invernadero (CO2). En esta tesis se estudia principalmente el carbono (CHA) (Mg/ha) aunque preliminarmente resulta necesaria la cuantificación de biomasa (BHA) (Mg/ha). De manera paralela también se estudian algunos parámetros forestales de densidad como índice de área foliar (IAF) (m2/ m2), cobertura arbórea (COB) (%), área...
Palavras-chave: Carbono; Índice de área foliar; Cobertura arbórea; Regresión lineal; K-nn; Percepción remota; SPOT 5; Fotografía hemisferica; Bosque de Pinus patula. Carbon; Leaf area index; Canopy closure; Linear regression; K-nn; Remote sensing; SPOT 5; Hemispherical photography; Pinus patula forest..
Ano: 2012 URL: http://hdl.handle.net/10521/789
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Analise de estabilidade de producao de genotipos de batata no Rio Grande do Sul. Repositório Alice
PEREIRA, A. da S.; COSTA, D. M. da..
Este trabalho teve os objetivos de: comparar os valores da interacao genotipo-ambiente (GA) obtidos com o uso do modelo dos efeitos principais aditivos e interacao multiplicativa (AMMI) e na analise da regressao linear (RL); comparar a estabilidade de producao de genotipos de batata (Solanum tuberosum L.). Dez genotipos foram avaliados em 34 ambientes (combinacoes de local, periodo de cultivo e ano) no Rio Grande do Sul, Brasil, em 1994 e 1995. A soma dos quadrados (SQ) das regressoes explicou somente 19,5% da SQ da interacao GA, ao passo que o primeiro componente (CP1) da analise dos componentes principais explicou 44,6%. A SQ do CPI foi maior que o dobro das SQ de todas as tres regressoes combinadas (conjunta, genotipa e ambiental). Portanto, a analise...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Batata; Solanum tuberosum; Interacao genotipo-ambiente; Modelo AMMI; Regressao linear; Analise de componentes principais; Genotype-environement interaction; AAMI Model; Linear regression; Principal component analysis.
Ano: 1998 URL: http://www.alice.cnptia.embrapa.br/handle/doc/85559
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Analysis of quantitative traits using regression and log-linear modeling when phase is unknown AgEcon
Mander, Adrian P..
This function models the relationship between quantitative trait and the genotype of a person. It introduces a new syntax for model specification, which is necessary because when phase is unknown, the explanatory variables for the linear regression are never observed. The data must be a population-based sample because within family effects are not modeled.
Tipo: Journal Article Palavras-chave: Haplotype analysis; Association studies; Phase-unknown; Linear regression; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/115951
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Assessing loss caused by the corn stem borer (Ostrinia furnacalis Guenee) to field corn Thai Agricultural
Auranuj Kongkanjana; Watchara Choonhawong; Boonsom Meksongsee.
1 ill., 1 table
Palavras-chave: Corn; Maize; Stem borers; Ostrinia furnacalis; Linear regression; ข้าวโพด; หนอนเจาะลำต้น; ผลผลิต; การประเมินความเสียหาย.
Ano: 1984 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/4481
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Chemical composition and energy yield of elephant-grass biomass as function of five different production ages. Repositório Alice
FREITAS, R. S.; BARBÉ, T. da C.; DAHER, R. F.; VIDAL, A. K. F.; STIDA, W. F.; SILVA, V. B. da; MENEZES, B. R. da S.; PEREIRA, A. V..
Abstract Elephant grass has high biomass production, with qualities suitable for conversion into bioenergy, but has long been used exclusively for animal feed and only in recent years has it become an energetic alternative. Therefore, it is necessary to select genotypes with potential for energy production. This study evaluated the effect of five harvest times (8, 12, 16, 20, and 24 weeks) on the yield and chemical composition related to biomass quality through combined polynomial regression analyses of the following elephant grass genotypes: Cubano Pinda, Mercker 86-México, Pusa Napier n°1, Mole de Volta Grande, P-241-Piracicaba, and King Grass. A completely randomized design with three replicates, in a split-plot arrangement, was adopted, including two...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Pennisetum purpureum Schum; Linear regression; Biomass quality; Bioenergy.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093716
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Comparação de taxas de crescimento populacional em artrópodes utilizando testes permutacionais. Repositório Alice
MAIA, A. de H. N..
O método "jackknife" é largamente utilizado para estimar incertezas associadas a parâmetros de tabelas de vida e fertilidade, utilizados para quantificar crescimento populacional em artrópodes. As estimativas "jackknife" da variância são utilizadas em testes para avaliar o efeito de tratamentos sobre tais parâmetros. No entanto, quando há fêmeas que não ovipositam durante o período de avaliação, o método "jackknife" não pode ser usado, devido a problemas no cálculo dos pseudovalores que levam à obtenção de alguns valores negativos para as estimativas da taxa líquida de reprodução. Como alternativa aos testes que utilizam estimativas ?jackknife? da variância propomos o uso de testes permutacionais. Apresentamos dois exemplos, utilizando dados simulados,...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Taxa intrínseca de crescimento; Dinâmica populacional; Regressão linear; Métodos computacionalmente intensivos; Linear regression; Population ecology.
Ano: 2005 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1015794
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Comparison of Regression and Neural Networks Models to Estimate Solar Radiation Chilean J. Agric. Res.
Bocco,Mónica; Willington,Enrique; Arias,Mónica.
The incident solar radiation on soil is an important variable used in agricultural applications; it is also relevant in hydrology, meteorology and soil physics, among others. To estimate this variable, empirical models have been developed using several parameters and, recently, prognostic and prediction models based on artificial intelligence techniques such as neural networks. The aim of this work was to develop linear models and neural networks, multilayer perceptron, to estimate daily global solar radiation and compare their efficiency in its application to a region of the Province of Salta, Argentina. Relative sunshine duration, maximum and minimum temperature, rainfall, binary rainfall and extraterrestrial solar radiation data for the period...
Tipo: Journal article Palavras-chave: Modeling; Prediction; Linear regression; Multilayer perceptron.
Ano: 2010 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000300010
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Exploring the best model for sorting Blood orange using ANFIS method CIGR Journal
Sabzi, Sajad; Javadikia, Payam; Rabbani, Hekmat; Adelkhani, Ali; Naderloo, Leila.
OranOrange has abundant nutritional properties and is consumed worldwide.  Sorting oranges of different masses based on their physical traits could help reduce packaging and transportation cost.  The ‘Blood’ cultivar of Iranian oranges from Kermanshah province of Iran (7.03 °E 4.22 °N) was used in this study.  100 samples were randomly selected.  During the two-day experiment, all measurements were carried out inside the laboratory at mean temperature of 24°C.  In this study, some physical properties of ‘Blood’ orange were measured, such as length, width, thickness, volume, mass, mean value of geometric diameter, sphericity and projected area.  ANFIS and linear regression models were employed to predict the mass based on sphericity and mean of projected...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Linear regression; Orange; Packaging; Physical properties; Sorting.
Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2348
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Factors affecting the use of forward pricing methods in price risk management with special reference to the influence of risk aversion AgEcon
Jordaan, Henry; Grove, Bennie.
Risk aversion is the primary reason for farmers to use forward pricing methods to hedge against price risk. Previous international research on farmers’ forward pricing behaviour found inconsistent results with respect to the relationship between risk aversion and the use of forward pricing methods. Ordinary Least Squares (OLS) regression is used in this research to investigate the relationship between the proportion of maize Vaalharts maize producers are willing to forward price and risk aversion. The quantity decision is modelled conditional on the adoption decision to ensure that the modelling procedure does not force the same variables to influence the two decisions in the same way. Regression results showed that more risk averse farmers are forward...
Tipo: Journal Article Palavras-chave: Forward pricing; Risk aversion; Farm characteristics; Linear regression; Crop Production/Industries; Marketing; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/5970
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Feedstock and inoculum characteristics and process parameters as predictors for methane yield in mesophilic solid-state anaerobic digestion Anais da ABC (AABC)
NIQUINI,GABRIELA R.; SILVA,SUZIMARA R.; COSTA JUNIOR,ESLY F.; COSTA,ANDRÉA O.S..
Abstract: In this study, several linear regression models were tested to predict the cumulative 30-day methane yield produced in mesophilic solid-state anaerobic digestion, employing diverse lignocellulosic biomass sources. Data collected from 13 studies were utilized, totalizing 86 experimental points, divided into regression and validation. Models containing higher order terms, the inverse of variables and interactions among all eleven input variables were tested. Simple linear models utilizing a single variable were unable to describe the methane production, giving an R² lower than 0.37. However, combinations of multiple variables and its inverses as only independent variable permitted an increase in simple linear models predictive capacity up to 63% of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Lignocellulosic biomass; Linear regression; Methane; Polynomial models; Solid-state anaerobic digestion.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700865
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Fitting a taper function to minimize the sum of absolute deviations Scientia Agricola
Silva,Lana Mirian Santos da; Rodriguez,Luiz Carlos Estraviz; Caixeta Filho,José Vicente; Bauch,Simone Carolina.
Multiple product inventories of forests require accurate estimates of the diameter, length and volume of each product. Taper functions have been used to precisely describe tree form, once they provide estimates for the diameter at any height or the height at any diameter. This study applied a goal programming technique to estimate the parameters of two taper functions to describe individual tree forms. The goal programming formulation generates parameters that minimize total absolute deviations (MOTAD). These parameters generated by the MOTAD method were compared to those of ordinary least squares (OLS) method. The analysis used a set of 178 trees cut from cloned eucalyptus plantations in the Southern part of the state of Bahia, Brazil. The values of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: MOTAD; Ordinary least squares; Goal programming; Linear regression.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000500007
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Hourly interaction between wind speed and energy fluxes in Brazilian Wetlands - Mato Grosso - Brazil Anais da ABC (AABC)
RODRIGUES,THIAGO R.; CURADO,LEONE F.A.; PEREIRA,VINICIUS M.R.; SANCHES,LUCIANA; NOGUEIRA,JOSÉ S..
ABSTRACT Matter and energy flux dynamics of wetlands are important to understand environmental processes that govern biosphere-atmosphere interactions across ecosystems. This study presents analyses about hourly interaction between wind speed and energy fluxes in Brazilian Wetlands - Mato Grosso - Brazil. This study was conducted in Private Reserve of Natural Heritage (PRNH SESC, 16º39'50''S; 56º47'50''W) in Brazilian Wetland. According to Curado et al. (2012), the wet season occurs between the months of January and April, while the June to September time period is the dry season. Results presented same patterns in energies fluxes in all period studied. Wind speed and air temperature presented same patterns, while LE was relative humidity presented inverse...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Energy balance; Latent heat flux; Linear regression; Micrometeorology; Pantanal; Sensible heat flux.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652016000602195
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Influence of fermentation time on characteristics of sourdough bread BJPS
Aplevicz,Krischina Singer; Ogliari,Paulo José; Sant'Anna,Ernani Sebastião.
Sourdough is used in the manufacture of numerous baked products. The microorganisms used in this preparation of sourdoughs included two strains from the Lactobacillus paracasei (1 and 2) and two strains from the Saccharomyces cerevisiae group (1 and 2). Samples of raw dough were analyzed for pH, titratable acidity and plate counts and samples of resulting bread were analyzed for pH, titratable acidity and specific volume. The samples were analyzed every 2 h, between 4 and 10 h of fermentation. After 10 hours of fermentation, the lowest values of pH were for dough with LC2 and bread with SC1. Titratable acidity values increased over time, with the highest levels of acidity were found in the dough and bread with yeasts. Lactic acid bacteria showed the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Sourdough; Bread; Lactic acid bacteria; Yeast; Linear regression.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502013000200005
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Leaf area prediction models for Zinnia elegans Jacq., Zinnia haageana regel and 'profusion cherry' Scientia Agricola
Pinto,Ana Christina Rossini; Rodrigues,Teresinha de Jesus Deléo; Barbosa,José Carlos; Leite,Izabel Cristina.
Leaf area measurements are of value in physiological and agronomic studies. The use of prediction models to estimate leaf area is a simple, accurate and nondestructive method. The present work suggests leaf area prediction models for Zinnia elegans ('Liliput' and 'Thumbelina'), Z. haageana ('Carpet Persa') and Z. elegans x Z. angustifolia ('Profusion Cherry'), potential flower potplant cultivars. At the stages of visible apical flower bud and flowering, 250 and 300 leaves were collected from greenhouse grown plants, respectively, at each season (fall, winter, spring and summer), totaling 1,000 and 1,200 leaves, for each developmental stage. The maximum length (L), maximum width (W) and real leaf area (RLA) were measured with a Digital Image Analysis System...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Floriculture; Potted plants; Linear regression.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000100009
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Marketing management capabilities of SMEs: an empirical analysis in the EU AgEcon
Banterle, Alessandro; Carraresi, Laura; Stranieri, Stefanella.
SMEs, that represent the greater part of European food firms producing traditional food products (TFPs), meet difficulties in adapting their strategies to market changes, and in competing with big enterprises. Marketing management capabilities play a key role in good SMEs performance in the market. The purpose of this paper is to evaluate the marketing capabilities of SMEs that produce TFPs. The theoretical framework considers the Market Orientation approach and marketing management capabilities in terms of marketing research, marketing strategy, planning and implementation, control and evaluation. A self evaluation tool was developed by means of an interactive questionnaire, available on the web, aimed at assessing traditional food firms competitive...
Tipo: Conference Paper or Presentation Palavras-chave: Marketing capabilities; SMEs; Traditional food; Linear regression; Agribusiness; Marketing.
Ano: 2008 URL: http://purl.umn.edu/44318
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