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| Silva,Edilson Marcelino; Furtado,Thais Destefani Ribeiro; Fernandes,Jaqueline Gonçalves; Cirillo,Marcelo Ângelo; Muniz,Joel Augusto. |
| ABSTRACT: Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the country from coffee bean export. In coffee plant growth, leaves have a determinant role in higher production; therefore, the leaf count per plant provides relevant information to producers for adequate crop management, such as foliar fertilizer applications. To describe count data, the Poisson model is the most commonly employed model; when count data show overdispersion, the negative binomial model has been determined to be more adequate. The objective of this study was to compare the fitness of the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Poisson model; Negative binomial model; Exponential family; Generalized linear model. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400201 |
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| Furtado,Thais Destefani Ribeiro; Muniz,Joel Augusto; Silva,Edilson Marcelino; Fernandes,Jaqueline Gonçalves. |
| Abstract Jabuticaba tree is native to the Atlantic Forest in Southern Brazil, and its fruit is widely consumed in the fresh form, but it is highly perishable, requiring conservation techniques. The aim of this study was to describe the drying kinetics of jabuticaba pulp at temperatures of 50 and 60°C, comparing the Henderson, Simple Three-Parameter Exponential, Lewis, Thompson, Fick and Wang and Sing regression models and estimating the Absolute Drying Rate (ADR) for the best model. Parameters were estimated using the SAS software. The evaluation of the quality in the adjustment and selection of models was made based on the adjusted determination coefficient, Residual Standard Deviation and Akaike Information Criterion. Models presented good adjustment to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Food preservation; Moisture ratio; Nonlinear regression; Statistical models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000100903 |
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| Furtado,Thais Destefani Ribeiro; Muniz,Joel Augusto; Silva,Edilson Marcelino; Frühauf,Ariana Campos; Fernandes,Tales Jesus. |
| Abstract Banana is among fruits most planted in tropical countries and belongs to the fruit group most consumed in the world; however, banana needs proper conservation techniques. The aim of this study was to describe the drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars at temperatures of 40 and 70°C, comparing the Henderson, STPE, Lewis, Page and Fick regression models, estimating the Absolute Drying Rate (ADR). Parameters were estimated with R and SAS Studio softwares, using for comparison and selection models of the R²aj, RSD and corrected Akaike Information Criteria. The Page and Fick models did not adjust, and the others presented good adjustment to data. The Henderson model was the most suitable to describe data of ‘Prata’ banana at both... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Food preservation; Absolute Drying Rate; Estimation; Statistical models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000500901 |
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