Santa Catarina State Agricultural Research and Rural Extension Agency Epagri

Ituporanga, Brazil

Santa Catarina State Agricultural Research and Rural Extension Agency Epagri

Ituporanga, Brazil
SEARCH FILTERS
Time filter
Source Type

Oliveira E.R.,Federal University of Santa Catarina | Wickert E.,Santa Catarina State Agricultural Research and Rural Extension Agency EPAGRI | Ramlov F.,Federal University of Santa Catarina | Moresco R.,Federal University of Santa Catarina | And 6 more authors.
Advances in Intelligent Systems and Computing | Year: 2017

Rice (Oryza sativa L.) is one of the most produced and consumed cereals worldwide and has its importance highlighted mainly in developing countries, where it plays a strategic economic and social role. Due to the importance of rice in the diet, its composition and nutritional characteristics are directly related to the health of the population. In the rice production systems, some climatic factors are determinants for the good performance of the crop, inducing the biosynthesis of primary and secondary metabolites. The present study determined the metabolic profiles through UV-visible spectrophotometry of leaf samples of three rice cultivars (Marques – white, Ônix – black, and Rubi – red pericarp) throughout the rice’s vegetative stages in two experimental times, from September to December 2015 and from January to April 2016. Solar radiation was recorded along the experimental period. To the organosolvent extracts of leaf samples, UV-vis spectrophotometric techniques were applied and the quantitative results of certain metabolites, e.g., chlorophylls, carotenoids, phenolics, flavonoids, and sugars, as well the antioxidant activity, which were analyzed by chemometrics tools. The results showed that biochemical parameters carotenoids, chlorophylls and sugars are more affected by the intensity of the radiation do que as variáveis phenolics, flavonoids and these alterations may be detected through statistical analysis of biochemical concentrations and UV-vis spectra. © Springer International Publishing AG 2017.


Moresco R.,Federal University of Santa Catarina | Afonso T.,University of Minho | Uarrota V.G.,Federal University of Santa Catarina | Navarro B.B.,Federal University of Santa Catarina | And 3 more authors.
Advances in Intelligent Systems and Computing | Year: 2017

Cassava genotypes (Manihot esculenta Crantz) with high pro-vitamin A activity have been identified as a strategy to reduce the prevalence of deficiency of this vitamin. The color variability of cassava roots, which can vary from white to red, is related to the presence of several carotenoid pigments. The present study has shown how CIELAB color measurement on cassava roots tissue can be used as a non-destructive and very fast technique to quantify the levels of carotenoids in cassava root samples, avoiding the use of more expensive analytical techniques for compound quantification, such as UV-visible spectrophotometry and the HPLC. For this, we used machine learning techniques, associating the colorimetric data (CIELAB) with the data obtained by UV-vis and HPLC, to obtain models of prediction of carotenoids for this type of biomass. Best values of R2 (above 90%) were observed for the predictive variable TCC determined by UV-vis spectrophotometry. When we tested the machine learning models using the CIELAB values as inputs, for the total carotenoids contents quantified by HPLC, the Partial Least Squares (PLS), Support Vector Machines, and Elastic Net models presented the best values of R2 (above 40%) and Root-Mean-Square Error (RMSE). For the carotenoid quantification by UV-vis spectrophotometry, R2 (around 60%) and RMSE values (around 6.5) are more satisfactory. Ridge regression and Elastic Network showed the best results. It can be concluded that the use colorimetric technique (CIELAB) associated with UV-vis/HPLC and statistical techniques of prognostic analysis through machine learning can predict the content of total carotenoids in these samples, with good precision and accuracy. © Springer International Publishing AG 2017.


Uarrota V.G.,Federal University of Santa Catarina | Moresco R.,Federal University of Santa Catarina | Coelho B.,Federal University of Santa Catarina | Nunes E.D.C.,Santa Catarina State Agricultural Research and Rural Extension Agency EPAGRI | And 4 more authors.
Food Chemistry | Year: 2014

Cassava roots are an important source of dietary and industrial carbohydrates and suffer markedly from postharvest physiological deterioration (PPD). This paper deals with metabolomics combined with chemometric tools for screening the chemical and enzymatic composition in several genotypes of cassava roots during PPD. Metabolome analyses showed increases in carotenoids, flavonoids, anthocyanins, phenolics, reactive scavenging species, and enzymes (superoxide dismutase family, hydrogen peroxide, and catalase) until 3-5 days postharvest. PPD correlated negatively with phenolics and carotenoids and positively with anthocyanins and flavonoids. Chemometric tools such as principal component analysis, partial least squares discriminant analysis, and support vector machines discriminated well cassava samples and enabled a good prediction of samples. Hierarchical clustering analyses grouped samples according to their levels of PPD and chemical compositions. © 2014 Elsevier Ltd. All rights reserved.


Uarrota V.G.,Federal University of Santa Catarina | Moresco R.,Federal University of Santa Catarina | Schmidt E.C.,Federal University of Santa Catarina | Bouzon Z.L.,Federal University of Santa Catarina | And 5 more authors.
Data in Brief | Year: 2016

This data article is referred to the research article entitled The role of ascorbate peroxidase, guaiacol peroxidase, and polysaccharides in cassava (Manihot esculenta Crantz) roots under postharvest physiological deterioration by Uarrota et al. (2015). Food Chemistry 197, Part A, 737-746. The stress duo to PPD of cassava roots leads to the formation of ROS which are extremely harmful and accelerates cassava spoiling. To prevent or alleviate injuries from ROS, plants have evolved antioxidant systems that include non-enzymatic and enzymatic defence systems such as ascorbate peroxidase, guaiacol peroxidase and polysaccharides. In this data article can be found a dataset called "newdata", in RData format, with 60 observations and 06 variables. The first 02 variables (Samples and Cultivars) and the last 04, spectrophotometric data of ascorbate peroxidase, guaiacol peroxidase, tocopherol, total proteins and arcsined data of cassava PPD scoring. For further interpretation and analysis in R software, a report is also provided. Means of all variables and standard deviations are also provided in the Supplementary tables ("data.long3.RData, data.long4.RData and meansEnzymes.RData"), raw data of PPD scoring without transformation (PPDmeans.RData) and days of storage (days.RData) are also provided for data analysis reproducibility in R software. © 2016 Elsevier Inc.


Moresco R.,Federal University of Santa Catarina | Uarrota V.G.,Federal University of Santa Catarina | Pereira A.,Federal University of Santa Catarina | Tomazzoli M.,Federal University of Santa Catarina | And 5 more authors.
Advances in Intelligent Systems and Computing | Year: 2015

Manihot esculenta roots rich in β-carotene are an important staple food for populations with risk of vitamin A deficiency. Cassava genotypes with high provitamin A activity have been identified as a strategy to reduce the prevalence of deficiency of this vitamin, In this study, the metabolomics characterization focusing on the carotenoid composition of ten cassava genotypes cultivated in southern Brazil by UV-visible scanning spectrophotometry and reverse phase-high performance liquid chromatography was performed. The data set was used for the construction of a descriptive model by chemometric analysis. The genotypes of yellow roots were clustered by the higher concentrations of cis-β-carotene and lutein. Inversely, cream roots genotypes were grouped precisely due to their lower concentrations of these pigments, as samples rich in lycopene differed among the studied genotypes. The analytical approach (UV-Vis, HPLC, and chemometrics) used showed to be efficient for understanding the chemodiversity of cassava genotypes, allowing to classify them according to important features for human health and nutrition. © Springer International Publishing Switzerland 2015.


Uarrota V.G.,Federal University of Santa Catarina | Moresco R.,Federal University of Santa Catarina | Schmidt E.C.,Federal University of Santa Catarina | Bouzon Z.L.,Federal University of Santa Catarina | And 5 more authors.
Food Chemistry | Year: 2016

This study aimed to investigate the role of ascorbate peroxidase (APX), guaiacol peroxidase (GPX), polysaccharides, and protein contents associated with the early events of postharvest physiological deterioration (PPD) in cassava roots. Increases in APX and GPX activity, as well as total protein contents occurred from 3 to 5 days of storage and were correlated with the delay of PPD. Cassava samples stained with Periodic Acid-Schiff (PAS) highlighted the presence of starch and cellulose. Degradation of starch granules during PPD was also detected. Slight metachromatic reaction with toluidine blue is indicative of increasing of acidic polysaccharides and may play an important role in PPD delay. Principal component analysis (PCA) classified samples according to their levels of enzymatic activity based on the decision tree model which showed GPX and total protein amounts to be correlated with PPD. The Oriental (ORI) cultivar was more susceptible to PPD. © 2015 Elsevier Ltd.


PubMed | Santa Catarina State Agricultural Research and Rural Extension Agency EPAGRI, University of Minho and Federal University of Santa Catarina
Type: | Journal: Data in brief | Year: 2016

This data article is referred to the research article entitled The role of ascorbate peroxidase, guaiacol peroxidase, and polysaccharides in cassava (Manihot esculenta Crantz) roots under postharvest physiological deterioration by Uarrota et al. (2015). Food Chemistry 197, Part A, 737-746. The stress duo to PPD of cassava roots leads to the formation of ROS which are extremely harmful and accelerates cassava spoiling. To prevent or alleviate injuries from ROS, plants have evolved antioxidant systems that include non-enzymatic and enzymatic defence systems such as ascorbate peroxidase, guaiacol peroxidase and polysaccharides. In this data article can be found a dataset called newdata, in RData format, with 60 observations and 06 variables. The first 02 variables (Samples and Cultivars) and the last 04, spectrophotometric data of ascorbate peroxidase, guaiacol peroxidase, tocopherol, total proteins and arcsined data of cassava PPD scoring. For further interpretation and analysis in R software, a report is also provided. Means of all variables and standard deviations are also provided in the Supplementary tables (data.long3.RData, data.long4.RData and meansEnzymes.RData), raw data of PPD scoring without transformation (PPDmeans.RData) and days of storage (days.RData) are also provided for data analysis reproducibility in R software.


PubMed | Santa Catarina State Agricultural Research and Rural Extension Agency EPAGRI, University of Minho and Federal University of Santa Catarina
Type: Journal Article | Journal: Food chemistry | Year: 2015

This study aimed to investigate the role of ascorbate peroxidase (APX), guaiacol peroxidase (GPX), polysaccharides, and protein contents associated with the early events of postharvest physiological deterioration (PPD) in cassava roots. Increases in APX and GPX activity, as well as total protein contents occurred from 3 to 5 days of storage and were correlated with the delay of PPD. Cassava samples stained with Periodic Acid-Schiff (PAS) highlighted the presence of starch and cellulose. Degradation of starch granules during PPD was also detected. Slight metachromatic reaction with toluidine blue is indicative of increasing of acidic polysaccharides and may play an important role in PPD delay. Principal component analysis (PCA) classified samples according to their levels of enzymatic activity based on the decision tree model which showed GPX and total protein amounts to be correlated with PPD. The Oriental (ORI) cultivar was more susceptible to PPD.


Higashikawa F.S.,Santa Catarina State Agricultural Research and Rural Extension Agency Epagri | Silva C.A.,Federal University of Lavras | Nunes C.A.,Federal University of Lavras | Bettiol W.,Brazilian Agricultural Research Corporation Embrapa | Guerreiro M.C.,Federal University of Lavras
Communications in Soil Science and Plant Analysis | Year: 2016

Eucalyptus growth was evaluated in five compost-based substrates formulated with different proportions of sewage sludge, coffee husk, peat, chicken manure, cattle manure, pine bark, sawdust, and coconut fiber, compared to two commercial substrates (CS). Organic wastes compost-based substrates (OWS) and CS were characterized regarding the available contents of macro and micronutrients, sodium (Na+), pH, electrical conductivity (EC), and bulk density (BD). Substrate attributes and eucalyptus biomass production were submitted to principal component analysis (PCA) to detect patterns of clustering. The different proportions of organic wastes influenced the physico-chemical characteristics of OWS and, consequently, the eucalyptus biomass production. The highest biomass was observed in one of the CS that is rich in available boron (B) and calcium (Ca), less concentrated in most of the nutrients and with low EC and Na+ contents. The PCA allowed the verification that B availability was the attribute that explained most of the variation in eucalyptus biomass production. © 2016 Taylor & Francis


Higashikawa F.S.,Santa Catarina State Agricultural Research and Rural Extension Agency Epagri | Conz R.F.,University of Sao Paulo | Colzato M.,University of Sao Paulo | Cerri C.E.P.,University of Sao Paulo | Alleoni L.R.F.,University of Sao Paulo
Journal of Cleaner Production | Year: 2016

Biochar is a universal sorbent suitable in strategies for removing contaminants from both soil and water. This study evaluated the potential of four biochars each produced from a different feedstock for removing Cd and Ni from water. Chicken manure mixed with sawdust (CM), sugarcane straw (SS), rice husk (RH) and sawdust (SW) were used to produce biochar through slow pyrolysis at two temperatures: 350 and 650 °C. The percentage removed and the removal capacity of Cd and Ni from water by biochars at both temperatures used in the pyrolysis followed the order: CM > SS > RH > SW. The removal percentage ranged from 31 to 98% for Cd and 24–72% for Ni, while removal capacity ranged from 0.3 to 12.5 mg g−1 for Cd and 0.2–10.9 mg g−1 for Ni. The type of feedstock had greater influence on the performance of biochars for removing metals than the pyrolysis temperature. © 2016 Elsevier Ltd

Loading Santa Catarina State Agricultural Research and Rural Extension Agency Epagri collaborators
Loading Santa Catarina State Agricultural Research and Rural Extension Agency Epagri collaborators