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| Registros recuperados: 21 | |
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| Silva,Paulo TP; Oliveira,Gustavo E; Peloia,Paulo R; Carvalho,Regis C; Gonçalves,Flávia Maria A. |
| ABSTRACT The objective of this study was to propose models based on the harvest of specific fruit clusters to estimate the plot yield of trials containing fresh market tomato hybrids. Three experiments were conducted at the Experimental Station of Syngenta Crop Protection in the municipality of Holambra, state of São Paulo, Brazil, in 2016 and 2017. The experimental design was randomized complete blocks with 12 genotypes (experiments 1 and 3) and 13 genotypes (experiment 2), with 4 replicates and 10 plants per plot. Multiple linear regression models were fitted (stepwise method) with experiment 1 data (cross-validation), the best models were selected (higher adjusted R²) and then tested with experiments 2 and 3 data by mean of absolute percentage error... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Solanum lycopersicum; Tomato breeding; Linear regression. |
| Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000100058 |
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| 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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| 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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| Oliveira,Marcio Paulo de; Tavares,Maria Hermínia Ferreira; Uribe-Opazo,Miguel Angel; Timm,Luis Carlos. |
| Statistical models allow the representation of data sets and the estimation and/or prediction of the behavior of a given variable through its interaction with the other variables involved in a phenomenon. Among other different statistical models, are the autoregressive state-space models (ARSS) and the linear regression models (LR), which allow the quantification of the relationships among soil-plant-atmosphere system variables. To compare the quality of the ARSS and LR models for the modeling of the relationships between soybean yield and soil physical properties, Akaike's Information Criterion, which provides a coefficient for the selection of the best model, was used in this study. The data sets were sampled in a Rhodic Acrudox soil, along a spatial... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Autocorrelation; Cross correlation; Linear regression; State-space model; Soil and plant properties. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000100009 |
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| 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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| Braga,Gustavo José; Pedreira,Carlos Guilherme Silveira; Herling,Valdo Rodrigues; Luz,Pedro Henrique de Cerqueira; Marchesin,Wilson Aparecido; Macedo,Felipe Barros. |
| Indirect, non-destructive methods for estimating herbage mass on pasture may help growers to better estimate herbage mass and manage the grazing process. The objective of this study was to evaluate two methods for estimating herbage mass on Marandu palisadegrass [Brachiaria brizantha (A. Rich.) Stapf] pastures, over two grazing seasons. The relationships between herbage mass and two indirect, non-destructive measurements (sward surface height - SSH and rising plate meter - RP) were analyzed via regression analysis. Mean determination coefficients (r²) for the regression models were 0.82 and 0.91 for RP and SSH, respectively. Time within season influenced both slope (b) and intercept (a) of the regression models in both methods. The change in model... |
| Tipo: Info:eu-repo/semantics/report |
Palavras-chave: Brachiaria brizantha; Sward surface height; Herbage allowance; Rising plate meter; Linear regression. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100018 |
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| 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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| 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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| 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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| Registros recuperados: 21 | |
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