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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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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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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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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: Separatas 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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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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Modeling forest aboveground carbon density in the Brazilian Amazon with integration of MODIS and Airborne LiDAR data. Repositório Alice
JIANG, X.; LI, G.; LU, D.; MORAN, E.; BATISTELLA, M..
Abstract: Timely updates of carbon stock distribution are needed to better understand the impacts of deforestation and degradation on forest carbon stock dynamics. This research aimed to explore an approach for estimating aboveground carbon density (ACD) in the Brazilian Amazon through integration of MODIS (moderate resolution imaging spectroradiometer) and a limited number of light detection and ranging (Lidar) data samples using linear regression (LR) and random forest (RF) algorithms, respectively. Airborne LiDAR data at 23 sites across the Brazilian Amazon were collected and used to calculate ACD. The ACD estimation model, which was developed by Longo et al. in the same study area, was used to map ACD distribution in the 23 sites. The LR and RF methods...
Tipo: Artigo de periódico Palavras-chave: Densidade de carbono acima do solo; Floresta aleatória; Amazônia brasileira; Random forest; MODIS; Brazilian Amazon; Linear regression; Aboveground carbon density; Regressão Linear; Biomassa; Aboveground biomass; Carbon; Lidar.
Ano: 2020 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126323
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Monitoreo de Eoreuma loftini (Lepidoptera: Crambidae) en caña de azúcar con su feromona sexual en Morelos, México. Colegio de Postgraduados
Barroso Aké, Hanzel Jesús.
Eoreuma loftini (Lepidoptera: Crambidae) es un problema fitosanitario en la zona productora de caña de azúcar de Tlaquiltenango, Morelos, México. Para ampliar el conocimiento de esta especie, en este trabajo se plantearon los objetivos siguientes: conocer la fluctuación población de E. loftini; evaluar la eficacia de captura de machos con la feromona comercial; determinar la relación entre capturas, temperatura y precipitación pluvial y estimar la duración del atrayente en campo. Se establecieron dos experimentos con trampas tipo “ala”; el primero del mes de febrero de 2013 con revisiones quincenales hasta enero de 2014. En el cual, el liberador de la feromona se renovó mensualmente. El experimento dos, se llevó a cabo de abril a diciembre de 2013, con...
Palavras-chave: Fluctuación poblacional; Regresión lineal; Trampa tipo "ala"; Citocromo oxidasa I.; Population dynamics; Linear regression; Trap type "wing"; Cytochrome oxidase I.; Entomología y Acarología; Maestría.
Ano: 2014 URL: http://hdl.handle.net/10521/2364
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Prediction of cattle density and location at the frontier of Brazil and Paraguay using remote sensing Repositório Alice
AMARAL, T. B.; GOND, V.; TRAN, A..
Tipo: Separatas Palavras-chave: Pasture areas.; Cattle density; Landsat 5 images; Linear regression; Object based classification.
Ano: 2014 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1010041
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Prediction of Hevea progeny performance in the presence of genotype-environment interaction BABT
Gonçalves,Paulo de Souza; Moraes,Mário Luiz Teixeira de; Silva,Marcelo de Almeida; Gouvêa,Lígia Regina Lima; Aguiar,Adriano Tosoni da Eira; Costa,Reginaldo Brito da.
Twenty two open-pollinated Hevea progenies from different parental clones of the Asian origin were tested at five sites in the Northwestern São Paulo State Brazil to investigate the progeny girth growth, rubber yield, bark thickness and plant height. Except for the rubber yield, the analysis of variance indicated highly significant (p<0.01) genotype x environment interaction and heterogeneity of regressions among the progenies. However, the regression stability analysis identified only a few interacting progenies which had regression coefficients significantly different from the expected value of one. The linear regressions of the progeny mean performance at each test on an environmental index (mean of all the progenies in each test) showed the general...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Hevea brasiliensis; Stability; Adaptability; Environmental index; Linear regression.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132009000100004
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