Resumo
ABSTRACT: This study measured the effect of the association between agronomic traits related to the yield of canola grains grown at different sowing dates through path analysis. Another objective was to obtain a method to predict the oil content in the grains, fitting a multivariate model through near-infrared (NIR) spectroscopy analysis. The experiment was conducted in the field using a randomized block design in plots subdivided by time, with four plots (sowing dates), six subplots (canola hybrids), and four replicates. In each hybrid, phenological observations were performed, and the grain yield was determined. The data were subjected to analysis of variance in the R environment using the F test at 5% probability. The oil content in the grains was determined by the traditional chemical method, and based on the NIR spectral signature of the grain samples, partial least squares regression (PLS-R) was established to estimate the oil content in the canola grains. The sowing dates influenced the production components and oil content of the grains of all hybrids. The trait number of grains in five plants (0.6857) and their height (0.4943) had greater estimates of positive correlations with grain yield, as well as higher values of positive direct effects on yield (0.2494 and 0.1595, respectively). The NIR technique combined with PLS-R was able to predict the oil content in the grains, resulting in good predictive models (R2 of 0.86 and root mean square error (RMSE) of 1.56 in external validation).
RESUMO: Objetivou-se mensurar o efeito da associação entre caracteres agronômicos relacionados à produtividade de grãos de canola cultivada em diferentes épocas de semeadura, através da análise de trilha. Assim como também objetivou-se obter um método para predizer o teor de óleo nos grãos, ajustando um modelo multivariado através da análise por espectroscopia na região do infravermelho próximo. O experimento foi conduzido em campo, utilizando-se o delineamento de blocos ao acaso, em parcelas subdivididas no tempo, sendo quatro parcelas (épocas de semeadura) e seis subparcelas (híbridos de canola), com quatro repetições. Em cada híbrido foram realizadas observações fenológicas e determinada a produtividade de grãos. Os dados foram submetidos à análise de variância em ambiente R pelo teste F, a cinco de probabilidade. O teor de óleo nos grãos foi determinado pelo método químico tradicional, e com base na assinatura espectral no infravermelho próximo de amostras dos grãos foi estabelecida regressão dos mínimos quadrados parciais (PLS-R) para estimar o teor de óleo nos grãos de canola. As épocas de semeadura influenciaram os componentes de produção e o teor de óleo dos grãos de todos híbridos. Os caracteres número de grãos em cinco plantas (0,6857) e altura (0,4943) apresentaram maiores estimativas de correlação positiva com a produtividade de grãos, assim como os maiores valores de efeito direto positivo sobre a produtividade, 0,2494 e 0,1595 respectivamente. Entretanto, o ciclo total (-0,7848), juntamente com dias em florescimento (-0,4520) apresentou correlação significativa negativa com a produtividade. A técnica NIR associada à PLS-R foi capaz de predizer o teor de óleo nos grãos, resultando em bons modelos preditivos (R2 de 0,86 e RMSE de 1,56 na validação externa) que podem ser usados com sucesso na análise da qualidade das amostras após colheita e nos programas de melhoramento genético.
Resumo
This study measured the effect of the association between agronomic traits related to the yield of canola grains grown at different sowing dates through path analysis. Another objective was to obtain a method to predict the oil content in the grains, fitting a multivariate model through near-infrared (NIR) spectroscopy analysis. The experiment was conducted in the field using a randomized block design in plots subdivided by time, with four plots (sowing dates), six subplots (canola hybrids), and four replicates. In each hybrid, phenological observations were performed, and the grain yield was determined. The data were subjected to analysis of variance in the R environment using the F test at 5% probability. The oil content in the grains was determined by the traditional chemical method, and based on the NIR spectral signature of the grain samples, partial least squares regression (PLS-R) was established to estimate the oil content in the canola grains. The sowing dates influenced the production components and oil content of the grains of all hybrids. The trait number of grains in five plants (0.6857) and their height (0.4943) had greater estimates of positive correlations with grain yield, as well as higher values of positive direct effects on yield (0.2494 and 0.1595, respectively). The NIR technique combined with PLS-R was able to predict the oil content in the grains, resulting in good predictive models (R2 of 0.86 and root mean square error (RMSE) of 1.56 in external validation).
Objetivou-se mensurar o efeito da associação entre caracteres agronômicos relacionados à produtividade de grãos de canola cultivada em diferentes épocas de semeadura, através da análise de trilha. Assim como também objetivou-se obter um método para predizer o teor de óleo nos grãos, ajustando um modelo multivariado através da análise por espectroscopia na região do infravermelho próximo. O experimento foi conduzido em campo, utilizando-se o delineamento de blocos ao acaso, em parcelas subdivididas no tempo, sendo quatro parcelas (épocas de semeadura) e seis subparcelas (híbridos de canola), com quatro repetições. Em cada híbrido foram realizadas observações fenológicas e determinada a produtividade de grãos. Os dados foram submetidos à análise de variância em ambiente R pelo teste F, a cinco de probabilidade. O teor de óleo nos grãos foi determinado pelo método químico tradicional, e com base na assinatura espectral no infravermelho próximo de amostras dos grãos foi estabelecida regressão dos mínimos quadrados parciais (PLS-R) para estimar o teor de óleo nos grãos de canola. As épocas de semeadura influenciaram os componentes de produção e o teor de óleo dos grãos de todos híbridos. Os caracteres número de grãos em cinco plantas (0,6857) e altura (0,4943) apresentaram maiores estimativas de correlação positiva com a produtividade de grãos, assim como os maiores valores de efeito direto positivo sobre a produtividade, 0,2494 e 0,1595 respectivamente. Entretanto, o ciclo total (-0,7848), juntamente com dias em florescimento (-0,4520) apresentou correlação significativa negativa com a produtividade. A técnica NIR associada à PLS-R foi capaz de predizer o teor de óleo nos grãos, resultando em bons modelos preditivos (R2 de 0,86 e RMSE de 1,56 na validação externa) que podem ser usados com sucesso na análise da qualidade das amostras após colheita e nos programas de melhoramento genético.
Assuntos
Análise Espectral , Brassica napus/crescimento & desenvolvimento , Melhoramento VegetalResumo
ABSTRACT: The use of molecular information in breeding programs contributed to important advances in the improvement of traits of economic interest in livestock production. The advent of single nucleotide polymorphism (SNP) panels applied to genome-wide selection (GWS) and genome-wide association studies (GWAS), along with computational advances (e.g., use of powerful software and robust analyses) allowed a better understanding of the genetic architecture of farm animals and increased the selection efficiency. In this context, the statistic method single-step GBLUP has been frequently used to perform GWS, and more recently GWAS analyses, providing accurate predictions and QTL detection, respectively. Nevertheless, in developing countries, species such as sheep and goats, whose genomic data are more difficult to be obtained, the use of data simulation has been efficient in the study of the major factors involved in the selection process, such as size of training population, density of SNP chips, and genotyping strategies. The effects of these factors are directly associated with the prediction accuracy of genomic breeding values. In this review we showed important aspects of the use of genomics in the genetic improvement of production traits of animals, the main methods currently used for prediction and estimation of molecular marker effects, the importance of data simulation for validation of those methods, as well as the advantages, challenges and limitations of the use of GWS and GWAS in the current scenario of livestock production.
RESUMO: Em programas de melhoramento genético, o uso de informações moleculares garantiu importantes avanços para a melhoria de características de interesse econômico, no âmbito da produção animal. O advento da tecnologia de painéis de SNPs aplicados à seleção genômica ampla (GWS) e associação genômica ampla (GWAS), aliado ao avanço computacional, com o uso de softwares e análises robustas, permitiram melhor compreensão sobre a arquitetura genética dos animais de produção e, consequentemente, maior eficiência na seleção. Nesse contexto, o método estatístico single-step GBLUP tem sido utilizado, frequentemente, na execução da GWS e, mais recentemente, em GWAS, possibilitando predições acuradas e detecção de QTLs, respectivamente. No entanto, em países em desenvolvimento e, em espécies como os ovinos e caprinos, que existe maior dificuldade para a aquisição de dados genômicos, o uso da simulação de dados tem se mostrado eficiente para estudar os principais fatores envolvidos no processo de seleção, como o tamanho da população de treinamento, densidade de chipde SNPs e estratégias de genotipagem, cujos efeitos estão diretamente associados à acurácia da predição de valores genéticos genômicos. Nesta revisão, serão abordados pontos importantes sobre o uso da genômica no melhoramento genético de características produtivas em animais, principais métodos de predição e estimação de efeitos de marcadores moleculares na atualidade, a importância da simulação de dados para a validação desses métodos, bem como as vantagens, os desafios e as limitações no cenário atual da produção animal com o uso da seleção e associação genômica ampla.
Resumo
The use of molecular information in breeding programs contributed to important advances in the improvement of traits of economic interest in livestock production. The advent of single nucleotide polymorphism (SNP) panels applied to genome-wide selection (GWS) and genome-wide association studies (GWAS), along with computational advances (e.g., use of powerful software and robust analyses) allowed a better understanding of the genetic architecture of farm animals and increased the selection efficiency. In this context, the statistic method single-step GBLUP has been frequently used to perform GWS, and more recently GWAS analyses, providing accurate predictions and QTL detection, respectively. Nevertheless, in developing countries, species such as sheep and goats, whose genomic data are more difficult to be obtained, the use of data simulation has been efficient in the study of the major factors involved in the selection process, such as size of training population, density of SNP chips, and genotyping strategies. The effects of these factors are directly associated with the prediction accuracy of genomic breeding values. In this review we showed important aspects of the use of genomics in the genetic improvement of production traits of animals, the main methods currently used for prediction and estimation of molecular marker effects, the importance of data simulation for validation of those methods, as well as the advantages, challenges and limitations of the use of GWS and GWAS in the current scenario of livestock production.
Em programas de melhoramento genético, o uso de informações moleculares garantiu importantes avanços para a melhoria de características de interesse econômico, no âmbito da produção animal. O advento da tecnologia de painéis de SNPs aplicados à seleção genômica ampla (GWS) e associação genômica ampla (GWAS), aliado ao avanço computacional, com o uso de softwares e análises robustas, permitiram melhor compreensão sobre a arquitetura genética dos animais de produção e, consequentemente, maior eficiência na seleção. Nesse contexto, o método estatístico single-step GBLUP tem sido utilizado, frequentemente, na execução da GWS e, mais recentemente, em GWAS, possibilitando predições acuradas e detecção de QTLs, respectivamente. No entanto, em países em desenvolvimento e, em espécies como os ovinos e caprinos, que existe maior dificuldade para a aquisição de dados genômicos, o uso da simulação de dados tem se mostrado eficiente para estudar os principais fatores envolvidos no processo de seleção, como o tamanho da população de treinamento, densidade de chipde SNPs e estratégias de genotipagem, cujos efeitos estão diretamente associados à acurácia da predição de valores genéticos genômicos. Nesta revisão, serão abordados pontos importantes sobre o uso da genômica no melhoramento genético de características produtivas em animais, principais métodos de predição e estimação de efeitos de marcadores moleculares na atualidade, a importância da simulação de dados para a validação desses métodos, bem como as vantagens, os desafios e as limitações no cenário atual da produção animal com o uso da seleção e associação genômica ampla.
Assuntos
Animais , Seleção Genética , Genoma , Polimorfismo de Nucleotídeo Único , Melhoramento GenéticoResumo
Iron is a fundamental microelement for human life; however, deficiencies or excesses of these metal ions can cause severe complications and mortality. Chelators are compounds that bind and inhibit iron. Ultraviolet-visible (UV-vis) spectrophotometric methods are key analytical tools in the identification of chemical entities, with the benefits of having good precision and accuracy, and the equipment being easily available as well as quick and simple to implement. In this study, we aimed to provide an alternative, cheaper method for the quantification of iron ion chelation by substituting ferrozine for gallic acid and validating its use with UV-vis according to official ANVISA and ICH guidelines. The parameters assessed were specificity, linearity, precision, accuracy, robustness, and finally, the percentage of iron ions chelating was calculated. The results demonstrated that this method was accurate, simple, specific, selective, precise, and reproducible, and was successfully validated for the determination of iron ions chelating. The percentage of iron ions chelating, promoted by the standard chelator EDTA, was 45% and 47% for Fe2+ and Fe3+, respectively. It is concluded that this new method is beneficial in terms of its simplicity, rapidness, low cost, and the fact that it produces very low levels of dangerous residues.(AU)
Assuntos
Ácido Gálico , Íons , FerroResumo
This research was performed to ascertain the most suitable Artificial Neural Network (ANN) model to quantify the degree of fraud in powdered milk through the addition of powdered whey via regular standard physicochemical analyses. In this study, an evaluation was done on 103 samples with different quantities of added whey powder to whole milk powder. Using Fourier Transform Infrared Spectroscopy the fat, cryoscopy, total solids, defatted dry extract, lactose, protein and casein were analyzed. The hyperbolic tangent transformation function was used with 45 topologies, and the Holdback and K-fold validation methods were tested. In the Holdback method, 75% of the database was employed for training, while 25% was used for validation. In the K-fold method, the database was categorized into five equal sized subsets, which alternated between training and validation. Of the two methods, the K-fold method was proven to have superior efficiency. Next, analysis was done on three models of multilayer perceptron networks with feedforward architecture. In Model 1, the input layer contained all the physicochemical analyses conducted, in model 2 the casein analysis was excluded, and in model 3 the routine analyses performed for dairy products was done (fat, defatted dry extract, cryoscopy and total solids). From Model 3 an ANN was derived which could satisfactorily predict fraud calculated from using the routine and standard analyses for dairy products, containing 64 nodes in the hidden layer, with R² of 0.9935 and RMSE of 0.5779 for training, and R² of 0.9964 and RMSE of 0.4358 for validation.
O objetivo do trabalho foi determinar o melhor modelo de rede neural artificial (RNA) para quantificar fraude em leite em pó, pela adição de soro em pó, por meio de analises físico-químicas de rotina. Foram avaliados 103 níveis de adição de soro lácteo em pó em leite em pó integral. As análises de gordura, crioscopia, sólidos totais, extrato seco desengordurado, lactose, proteína e caseína foram realizadas por espectroscopia no infravermelho com transformada de Fourier. A função de transformação utilizada foi a tangente hiperbólica, em que testou-se 45 topologias e dois métodos de validação: holdback e k-fold. Para o método holdback, 75% do banco de dados foi utilizado para o treinamento e 25% para a validação. Para o método k-fold, o banco de dados foi dividido em cinco subconjuntos de mesmo tamanho que se alternavam entre treinamento e validação. O método k-fold se mostrou mais eficiente. Três modelos de redes perceptron de múltiplas camadas com arquitetura feedforward foram analisados. No modelo 1 a camada de entrada constituía todas as análises físico-químicas realizadas, no modelo 2 excluiu-se a análise de caseína e no modelo 3 utilizou-se as análises de rotina em laticínios (gordura, extrato seco desengordurado, crioscopia e sólidos totais). O modelo 3 obteve uma RNA capaz de predizer satisfatoriamente a fraude avaliada a partir de análises consideradas de rotina em laticínios com uma RNA contendo 64 nodos na camada oculta, R² de 0,9935 e RMSE de 0,5779 para treinamento, R² de 0,9964 e RMSE de 0,4358 para validação.
Assuntos
Contaminação de Alimentos/análise , Redes Neurais de Computação , Leite em Pó Integral , FraudeResumo
ABSTRACT: Splitting the whole dataset into training and testing subsets is a crucial part of optimizing models. This study evaluated the influence of the choice of the training subset in the construction of predictive models, as well as on their validation. For this purpose we assessed the Kennard-Stone (KS) and the Random Sampling (RS) methods in near-infrared spectroscopy data (NIR) and marker data SNPs (Single Nucleotide Polymorphisms). It is worth noting that in SNPs data, there is no knowledge of reports in the literature regarding the use of the KS method. For the construction and validation of the models, the partial least squares (PLS) estimation method and the Bayesian Lasso (BLASSO) proved to be more efficient for NIR data and for marker data SNPs, respectively. The evaluation of the predictive capacity of the models obtained after the data partition occurred through the correlation between the predicted and the observed values, and the corresponding square root of the mean squared error of prediction. For both datasets, results indicated that the results from KS and RS methods differ statistically from each other by the F test (P-value < 0.01). The KS method showed to be more efficient than RS in practically all repetitions. Also, KS method has the advantage of being easy and fast to be applied and also to select the same samples, which provides excellent benefits in the following analyses.
RESUMO: A divisão de subconjuntos de treinamento e teste é parte fundamental da otimização de modelos. O objetivo deste trabalho foi avaliar a influência da escolha do subconjunto de treinamento na construção dos modelos, bem como sua validação. Os métodos Kennard-Stone (KS) e a amostragem aleatória (AA) foram avaliados em dados de espectroscopia no infravermelho próximo (NIR) e em dados de marcadores SNPs (Single Nucleotide Polymorphisms). Vale destacar, que em dados SNPs, não há conhecimento de relatos na literatura a respeito da utilização do método KS. Para a construção e validação dos modelos, o método de estimação dos mínimos quadrados parciais (PLS) e Lasso bayesiano (BLASSO) mostraram-se mais eficientes para os dados NIR e para os dados SNPs, respetivamente. A avaliação da capacidade preditiva dos modelos obtidos após a partição dos dados ocorreu por meio da correlação entre os valores preditos e os valores reais, e da raiz quadrada do erro quadrático médio de predição. Para ambos os conjuntos de dados, os resultados indicam que os métodos KS e AA diferem estatisticamente entre si pelo teste F (valor P < 0.01), com o KS mais eficiente do que o AA em praticamente todas as repetições. Além disso, o método KS possui a vantagem de ser fácil e rápido de ser aplicado e também de selecionar sempre as mesmas amostras, o que proporciona grandes benefícios em futuras análises.
Assuntos
Amostragem Aleatória Simples , Modelos Estatísticos , Teorema de Bayes , Tratamento Farmacológico/estatística & dados numéricos , Análise dos Mínimos Quadrados , Espectroscopia de Luz Próxima ao InfravermelhoResumo
The plants physiological processes such as transpiration and photosynthetic efficiency are directly related to leaf area, which is difficult to quantify in a nondestructive manner. To generate a model to estimate the total leaf area of plants of banana cv. Vitória, simple and multiple linear regressions utilizing the length and width of the third leaf, the product of length and width of the third leaf, and the total number of leaves of 'Vitória' plants, were tested. The data to develop the model were obtained from 'Vitória' banana plants from different edafoclimatic conditions and management. The best performance of the model was obtained using stepwise multiple regression with r2=0.93 and r2= 0.94. Validation of the model resulted in an r2 of 0.74.
Processos fisiológicos das plantas como transpiração e eficiência fotossintética estão diretamente relacionados à área foliar, a qual é difícil quantificar de forma não destrutiva. Para gerar um modelo para estimar a área foliar total de plantas da cv. Vitória, foram testadas regressões lineares simples e múltiplas utilizando comprimento e largura da terceira folha, o produto comprimento e largura da terceira folha e número total de folhas. Os dados para desenvolver o modelo foram obtidos de cultivos com diferentes condições edafoclimáticas e de manejo. O melhor modelo foi obtido por meio de regressão múltipla stepwise com r2 = 0,93 e r2 = 0,94. A validação do modelo resultou em r2 de 0,74.
Assuntos
Folhas de Planta/anatomia & histologia , Musa/anatomia & histologia , Genótipo , Análise de RegressãoResumo
In recent years, egg production has had an intense growth in Brazil, and Brazilian egg consumption per capita has significantly increased in the last decade. To reduce sanitary and financial risks, decisions regarding the production and health status of the flock must be made based on objective criteria. Our aim was to determine the main "input" variables for the prediction of egg production performance in commercial laying breeder flocks using an ANN model. The software NeuroShellClassifier and NeuroShell Predictor were used to build the ANN. A total of 26 egg-production traits were selected as input variables and eight as output variables. A database of 44,120 Excel cells was generated. For the training and validation of the models, 74.9% and 25.1% of the data were used, respectively. The accuracy of the ANN models was calculated and compared using the analysis of coefficient of multiple determination (R2), mean squared error (MSE), and an assessment of uniform scatter in the residual plots. The models for the outputs "weekly egg production," "weekly incubated egg,", "accumulated commercial egg," and "viability" showed an R2 greater than 0.8. Other models yielded R2 values lower than 0.8. The ANN predicts adequately eight egg-production traits in the breeders of commercial laying hens. The method is an option for data management analysis in the egg industry, providing estimates of the relative contribution of each input variable to the outputs.(AU)
Assuntos
Animais , Galinhas , Redes Neurais de Computação , Ovos/análise , Produtos Avícolas/análise , Simulação por ComputadorResumo
O estudo teve como objetivo modificar, otimizar e avaliar através de estudo comparativo um método para a extração de sujidades leves em amostras de cúrcuma (Curcuma longa L.) e páprica (Capsicum annuum L.). Foram analisadas dez amostras de cúrcuma e vinte de páprica. As etapas de pré-tratamento dos métodos da AOAC, 975.49 (16.14.05) para cúrcuma e 977.25b (16.14.22) para páprica, foram modificadas, com adição do extrator Soxhlet. A avaliação do desempenho analítico foi realizada pela comparação entre os resultados das recuperações dos métodos. A recuperação média para cúrcuma utilizando o método AOAC foi 91,9% para fragmentos de insetos e 97,0% para pelos de roedor, enquanto que para o método modificado foi de 89,6% e 97,4%, respectivamente. Para páprica, usando método original a recuperação foi de 93,1% para os fragmentos de insetos e 96,5% para pelos de roedor, e para o método modificado, 92,2% e 93,1%, respectivamente. A análise estatística mostrou que não houve diferença significante entre os métodos. Apesar do maior tempo de análise, o método modificado apresenta vantagens tais como: permitir realização de análises simultâneas, baixa complexidade, economia de 57% de solvente e desempenho satisfatório, sendo uma alternativa para pesquisa de sujidades leves nas especiarias estudadas. (AU)
The study aimed to modify, optimize and evaluate through a comparative study a method for extraction of light filth from turmeric (Curcuma longa L.) and paprika (Capsicum annuum L.) samples. Ten samples of turmeric and twenty samples of paprika were analyzed.The pretreatment steps of the AOAC methods, 975.49 (16.14.05) for turmeric and 977.25b (16.14.22) for paprika, were modified by adding the Soxhlet extractor. The evaluation of the analytical performance was carried out by comparing the results of the method recoveries. The average recovery for turmeric using the AOAC method was 91.9% for insect fragments and 97.0% for rodent hair. While using modified method, it was 89.6% and 97.4%, respectively. For paprika, using the original method, the average recovery was 93.1% for fragments and 96.5% for hair; and after the modifications, the average was, 92.2% and 93.1%, respectively. Statistical analysis showed that there was no significant difference between the methods. Despite the longer analysis time, the modified method has advantages such as: allowing simultaneous analysis, low complexity, 57% solvent economy and satisfactory performance; proving to be an alternative for light filth research in the studied spices. (AU)
Assuntos
Capsicum , Contaminação de Alimentos , Especiarias , Estudo de Validação , Curcuma , Metodologia como Assunto , Química Verde , MicroscopiaResumo
Reference materials (RM) are tools used in the comparability and traceability of measurements. They are widely used by laboratories for method validation and quality control of assay. Chile must evaluate theperformance of laboratories that analyzing metals in fishery products, despite RM have high prices and are scarce. For that reason, a RM in a hydrobiological product was developed. Reference values for arsenic and cadmium elements for a fishmeal were assigned. The measurement methods for characterization of the material were Inductively Coupled Plasma Mass Spectrometry, Atomic Absorption Spectrometry and Neutron Activation Analysis. Reference values with their expanded uncertainty (U) were established for arsenic 2.64 ± 0.42 mg/kg (U; k = 2) and for cadmium 0.86 ± 0.16 mg/kg (U; k = 2). Homogeneity and stability of the RM allowed its use in a proficiency test for eleven food control laboratories. Results for median were 2.114 mg/kg for arsenic, and 0.863 mg/kg for cadmium. The performance values of the participants were evaluated with a z score obtaining 60% satisfaction for arsenic and 73% for cadmium.The material demonstrated to be suitable for use in interlaboratory proficiency assay. (AU)
Materiales de referencia (MR) son herramientas utilizadas en la comparabilidad y trazabilidad entre mediciones. Laboratorios los utilizan ampliamente en validación de métodos y control de calidad. Chile debe evaluar el desempeño de los laboratorios que analizan metales en productos pesqueros, a pesar de los altos precios y escasez del MR. Por esa razón, se desarrolló un MR en producto hidrobiológico. Se asignaron valores de referencia para arsénico y cadmio en harina de pescado. Los métodos de medición para la caracterización del material fueron Espectrometría de Masas de Plasma Acoplado Inductivamente, Espectrometría de Absorción Atómica y Análisis de Activación de Neutrones. Se establecieron valores de referencia con su incertidumbre (U) para arsénico 2.64 ± 0.42 mg/kg (U; k = 2) y para cadmio 0.86 ± 0.16 mg/kg (U; k = 2). La homogeneidad y estabilidad del MR permitieron su uso en una prueba de aptitud para once laboratorios de control de alimentos. Las medianas fueron 2,114 mg/kg para arsénico y 0,863 mg/kg para cadmio. Se evaluaron los rendimientos de los participantes con un estadístico de puntaje z satisfactorio del 60% para el arsénico y 73% para el cadmio. El material demostró ser adecuado para uso en ensayo de aptitud de intercomparación. (AU)
Assuntos
Arsênio , Cádmio , Ensaio de Proficiência Laboratorial , Farinha de Peixe , LaboratóriosResumo
The analysis of Salmonella in the feces and the birds environment is a way of monitoring the colonization in the flocks and verifying the need for the introduction of stricter controls, in such a way that the results of the tests should be known before being sent for slaughter. The polymerase chain reaction (PCR), as well as other rapid methods represent alternatives increasingly used to detect enteric pathogens, but they need proof of effectiveness for their wide use. The aim of this study was to evaluate the equivalence between the results obtained by the methods: real-time PCR (BAX® System), Modified Rappaport-Vassiliadis Semi-solid Medium (MSRV) (ISO 6579) and the traditional method of official reference in Brazil for research of S. Typhimurium and S. Enteritidis in poultry samples. Two hundred and fifty-two samples of disposable shoe covers (DSC) and 252 samples of feces were infected with an average of 2 to 3 log CFU/g of each serovar, and the same samples without fortification were evaluated by the three methods. Five hundred and four diagnoses were obtained with satisfactory results in terms of repeatability (greater than 80%), reproducibility (mean 83,1%), sensitivity (81% to 100%), specificity (95% to 100%), and accuracy (90% to 100%). The compliance test verified that there was not a significant difference between the alternative and the official methods, allowing us to state that the methodologies have had equivalent performances.(AU)
Assuntos
Animais , Salmonella/imunologia , Fezes/microbiologia , Biologia Celular , Reação em Cadeia da Polimerase , AvesResumo
The analysis of Salmonella in the feces and the birds environment is a way of monitoring the colonization in the flocks and verifying the need for the introduction of stricter controls, in such a way that the results of the tests should be known before being sent for slaughter. The polymerase chain reaction (PCR), as well as other rapid methods represent alternatives increasingly used to detect enteric pathogens, but they need proof of effectiveness for their wide use. The aim of this study was to evaluate the equivalence between the results obtained by the methods: real-time PCR (BAX® System), Modified Rappaport-Vassiliadis Semi-solid Medium (MSRV) (ISO 6579) and the traditional method of official reference in Brazil for research of S. Typhimurium and S. Enteritidis in poultry samples. Two hundred and fifty-two samples of disposable shoe covers (DSC) and 252 samples of feces were infected with an average of 2 to 3 log CFU/g of each serovar, and the same samples without fortification were evaluated by the three methods. Five hundred and four diagnoses were obtained with satisfactory results in terms of repeatability (greater than 80%), reproducibility (mean 83,1%), sensitivity (81% to 100%), specificity (95% to 100%), and accuracy (90% to 100%). The compliance test verified that there was not a significant difference between the alternative and the official methods, allowing us to state that the methodologies have had equivalent performances.
Assuntos
Animais , Biologia Celular , Fezes/microbiologia , Reação em Cadeia da Polimerase , Salmonella/imunologia , AvesResumo
The objective of this work was to model and identify the best models for estimating the leaf area, determined by digital photos, of buckwheat (Fagopyrum esculentum Moench) of the cultivars IPR91-Baili and IPR92-Altar, as a function of length (L), width (W) or length x width product (LW) of the leaf blade. Ten uniformity trials (blank experiments) were carried out, five with IPR91-Baili cultivar and five with IPR92-Altar cultivar. The trials were performed on five sowing dates. In each trial and cultivar, expanded leaves were collected at random from the lower, middle and upper segments of the plants, totaling 1,815 leaves. In these 1,815 leaves, L and W were measured and the LW of the leaf blade was calculated, which were used as independent variables in the model. The leaf area of each leaf was determined using the digital photo method (Y), which was used as a dependent variable of the model. For each sowing date, cultivar and thirds of the plant, 80% of the leaves (1,452 leaves) were randomly separated for the generation of the models and 20% of the leaves (363 leaves) for the validation of the models of leaf area estimation as a function of linear dimensions. For buckwheat, IPR91-Baili and IPR92-Altar cultivars, the quadratic model (Ŷ = 0.5217 + 0.6581LW + 0.0004LW2, R2 = 0.9590), power model (Ŷ = 0.6809LW1.0037, R2 = 0.9587), linear model (Ŷ = 0.0653 + 0.6892LW, R2 = 0.9587) and linear model without intercept (Ŷ = 0.6907LW, R2 = 0.9587) are indicated for the estimation of leaf area determined by digital photos (Y) based on the LW of the leaf blade (x), and, preferably, the linear model without intercept can be used, due to its greater simplicity.
O objetivo deste trabalho foi modelar e identificar os melhores modelos para a estimação da área foliar, determinada por fotos digitais, de trigo mourisco (Fagopyrum esculentum Moench) das cultivares IPR91-Baili e IPR92-Altar, em função do comprimento (C), da largura (L) ou do produto comprimento vezes largura (CL) do limbo foliar. Foram conduzidos dez ensaios de uniformidade (experimentos em branco), sendo cinco com a cultivar IPR91-Baili e cinco com a cultivar IPR92-Altar. Os ensaios foram realizados em cinco datas de semeadura. Em cada ensaio e cultivar foram coletadas, aleatoriamente, folhas expandidas dos terços inferior, médio e superior das plantas, totalizando 1.815 folhas. Nessas 1.815 folhas, foram mensurados o C e a L e calculado o CL do limbo foliar, os quais foram utilizados como variáveis independentes no modelo. Determinou-se a área de cada folha por meio do método de fotos digitais (Y) e a mesma foi utilizada como variável dependente do modelo. Para cada data de semeadura, cultivar e terços da planta foram separadas, aleatoriamente, 80% das folhas (1.452 folhas) para a geração de modelos e 20% das folhas (363 folhas) para a validação dos modelos de estimação da área foliar em função das dimensões lineares. Para o trigo mourisco, cultivares IPR91-Baili e IPR92-Altar, os modelos quadrático (Ŷ = 0,5217 + 0,6581CL + 0,0004CL2, R2 = 0,9590), potência (Ŷ = 0,6809CL1,0037, R2 = 0,9587), linear (Ŷ = 0,0653 + 0,6892CL, R2 = 0,9587) e linear sem intercepto (Ŷ = 0,6907CL, R2 = 0,9587), são indicados para a estimação da área foliar determinada por fotos digitais (Y) com base no CL do limbo foliar (x), podendo, preferencialmente, ser utilizado o modelo linear sem intercepto, devido a sua maior simplicidade.
Assuntos
Fagopyrum , Folhas de Planta , Modelos LinearesResumo
The objective of this work was to model and identify the best models for estimating the leaf area, determined by digital photos, of buckwheat (Fagopyrum esculentum Moench) of the cultivars IPR91-Baili and IPR92-Altar, as a function of length (L), width (W) or length x width product (LW) of the leaf blade. Ten uniformity trials (blank experiments) were carried out, five with IPR91-Baili cultivar and five with IPR92-Altar cultivar. The trials were performed on five sowing dates. In each trial and cultivar, expanded leaves were collected at random from the lower, middle and upper segments of the plants, totaling 1,815 leaves. In these 1,815 leaves, L and W were measured and the LW of the leaf blade was calculated, which were used as independent variables in the model. The leaf area of each leaf was determined using the digital photo method (Y), which was used as a dependent variable of the model. For each sowing date, cultivar and thirds of the plant, 80% of the leaves (1,452 leaves) were randomly separated for the generation of the models and 20% of the leaves (363 leaves) for the validation of the models of leaf area estimation as a function of linear dimensions. For buckwheat, IPR91-Baili and IPR92-Altar cultivars, the quadratic model (Ŷ = 0.5217 + 0.6581LW + 0.0004LW2, R2 = 0.9590), power model (Ŷ = 0.6809LW1.0037, R2 = 0.9587), linear model (Ŷ = 0.0653 + 0.6892LW, R2 = 0.9587) and linear model without intercept (Ŷ = 0.6907LW, R2 = 0.9587) are indicated for the estimation of leaf area determined by digital photos (Y) based on the LW of the leaf blade (x), and, preferably, the linear model without intercept can be used, due to its greater simplicity.(AU)
O objetivo deste trabalho foi modelar e identificar os melhores modelos para a estimação da área foliar, determinada por fotos digitais, de trigo mourisco (Fagopyrum esculentum Moench) das cultivares IPR91-Baili e IPR92-Altar, em função do comprimento (C), da largura (L) ou do produto comprimento vezes largura (CL) do limbo foliar. Foram conduzidos dez ensaios de uniformidade (experimentos em branco), sendo cinco com a cultivar IPR91-Baili e cinco com a cultivar IPR92-Altar. Os ensaios foram realizados em cinco datas de semeadura. Em cada ensaio e cultivar foram coletadas, aleatoriamente, folhas expandidas dos terços inferior, médio e superior das plantas, totalizando 1.815 folhas. Nessas 1.815 folhas, foram mensurados o C e a L e calculado o CL do limbo foliar, os quais foram utilizados como variáveis independentes no modelo. Determinou-se a área de cada folha por meio do método de fotos digitais (Y) e a mesma foi utilizada como variável dependente do modelo. Para cada data de semeadura, cultivar e terços da planta foram separadas, aleatoriamente, 80% das folhas (1.452 folhas) para a geração de modelos e 20% das folhas (363 folhas) para a validação dos modelos de estimação da área foliar em função das dimensões lineares. Para o trigo mourisco, cultivares IPR91-Baili e IPR92-Altar, os modelos quadrático (Ŷ = 0,5217 + 0,6581CL + 0,0004CL2, R2 = 0,9590), potência (Ŷ = 0,6809CL1,0037, R2 = 0,9587), linear (Ŷ = 0,0653 + 0,6892CL, R2 = 0,9587) e linear sem intercepto (Ŷ = 0,6907CL, R2 = 0,9587), são indicados para a estimação da área foliar determinada por fotos digitais (Y) com base no CL do limbo foliar (x), podendo, preferencialmente, ser utilizado o modelo linear sem intercepto, devido a sua maior simplicidade.(AU)
Assuntos
Fagopyrum , Folhas de Planta , Modelos LinearesResumo
The oscillometric monitor is a noninvasive method used for measuring blood pressure in dogs and cats. Despite widely used, there is a large variability in the accuracy of oscillometric monitors, which may also be influenced by the location of the blood pressure cuff. The Doppler ultrasound is another non-invasive method that was shown to measure blood pressure with good accuracy and precision in small animals. The present study aimed to determine the agreement between systolic arterial pressure (SAP) measured by the Prolife P12 oscillometric monitor with 2 cuff locations and the Doppler ultrasound in anesthetized dogs. Dogs scheduled for routine anesthetic procedures were included in the study, which was carried out in 2 phases. In Phase 1, SAP values measured by the Doppler were compared with those measured by the Prolife P12 monitor with the cuff placed at the thoracic limb for both methods. In Phase 2, SAP values measured by the Doppler were compared with those measured by the Prolife P12 monitor, with the cuff placed at the thoracic limb for the Doppler and at the base of the tail for the P12. The cuff width corresponded to approximately 40% of limb or tail circumference. On all occasions, 3 consecutive measurements of SAP were recorded, followed by a single measurement of SAP by the P12, and then other 3 measurements were performed with the Doppler. The arithmetic mean of the 6 SAP measurements with the Doppler was compared with the SAP value measured by the P12 monitor (paired measurements). Agreement between SAP values measured by the Doppler and the P12 monitor was analyzed by the Bland Altman method for calculation of the bias (Doppler - P12) and standard deviation (SD) of the bias. The percentages of differences between the methods with an error ≤ 10 mmHg and ≤ 20 mmHg and Pearson's correlation coefficients were also calculated. Results were compared with the criteria from the American College of Veterinary Internal Medicine (ACVIM) for validation of noninvasive blood pressure methods. A total of 33 dogs were included in Phase 1 and 15 were included in Phase 2. During Phases 1 and 2, 179 and 87 paired measurements were recorded, respectively. Most of the measurements were recorded during normotension (SAP = 90-130 mmHg): 113/179 in Phase 1 and 52/87 in Phase 2. The bias (± SD) for Phases 1 and 2 were -2.7 ± 14.1 mmHg and 7.2 ± 25.8 mmHg. The percentages of differences ≤ 10 mmHg and ≤ 20 mmHg were: Phase 1, 61% and 83%; Phase 2, 41% and 70%. Correlation coefficients were 0.81 and 0.67 for Phases 1 and 2, respectively. According to the ACVIM criteria, maximum values accepted for bias are 10 ± 15 mmHg, the percentages of differences ≤ 10 mmHg and ≤ 20 mmHg should be ≥ 50% and ≥ 80%, respectively, and the correlation coefficient should be ≥ 0.9. When the blood pressure cuff was placed at the thoracic limb, SAP values measured by the P12 monitor met most of the ACVIM criteria, demonstrating good agreement with SAP values measured by the Doppler. The only requirement not met was the correlation coefficient which was 0.81 whereas the recommended is ≥ 0.9. Conversely, when the cuff was placed at the base of the tail, SAP values measured by the P12 monitor did not meet most of the ACVIM criteria indicating that, in anesthetized dogs, SAP measurements with the P12 monitor should be performed with the cuff placed at the thoracic limb. One limitation of this study was that most measurements fell in the normotensive range and the results should not be extrapolated for hypotensive and hypertensive conditions. In conclusion, the Prolife P12 oscillometric monitor demonstrated good agreement with SAP values measured by the Doppler and provides acceptable values in normotensive anesthetized dogs.(AU)
Assuntos
Animais , Cães , Determinação da Pressão Arterial/instrumentação , Determinação da Pressão Arterial/veterinária , Ultrassonografia Doppler/instrumentação , Pressão ArterialResumo
The present research presents an analytical methodology based on High Performance Liquid Chromatography (HPLC) and Principal Component Analyses (PCA) for simultaneous quantification and analytical differentiation of organic acids and sugars in commercial fruit juice samples (orange, grape, apple and tangerine). In addition to the development of the method that generated suitable validation paramters for quantitative analytical applications, the analysis of fourteen commercial samples and the use of Principal Component Analysis indicated the relationship between the constituents and the very constitutional chemical nature of the juice. In general, in grape and apple juices, ascorbic acid was not quantified and the citric acid content was very low; however, the concentrations of fructose and glucose were the highest in both juices. In orange and mandarin orange juices, the content of all analytes, except acorbic acid, did not differ statistically from each other. However, these differed significantly from the others, mainly in relation to sucrose content. Finally, the apple juice samples differed according to the content of fructose and malic acid, the predominant constituint of the apple. Results showed that the simultaneous chromatographic method associated with principal component analysis generated important information about characteristics of commercial juices, with the potential to be used in systems of quality control and identification of adulterations.(AU)
O presente trabalho apresenta uma metodologia analítica baseada em Cromatografia Líquida de Alto Desempenho (CLAE) e Análise de Componentes Principais (ACP) para quantificação simultânea e diferenciação analítica de ácidos orgânicos e açúcares em amostras comerciais de suco de frutas (laranja, uva, maçã e tangerina). Além do desenvolvimento do método que gerou parâmetros de validação adequados para aplicações analítica quantitativas, a análise de catorze amostras comerciais e o uso da ACP indicaram a relação entre os analitos e a natureza química constitucional do suco. Em geral, nos sucos de uva e maçã não foi quantificado ácido ascórbico sendo o conteúdo de ácido cítrico muito baixo, no entanto, as concentrações de frutose e glicose foram as mais altas em ambos sucos. Nos sucos de laranja e tangerina, o conteúdo de todos os analitos, exceto o ácido ascórbico, não diferiram estatisticamente entre si. No entanto, diferiram significativamente dos demais, principalmente em relação ao conteúdo de sacarose. Finalmente, as amostras de suco de maçã diferiram de acordo com o teor de frutose e ácido málico, constituinte predominante da maçã. Os resultados mostraram que o método comatográfico simultâneo associado à análise de componentes principais gera informações importantes sobre as características dos sucos comerciais, com potencialidade para ser utilizado em sistemas de controle de qualidade e identificação de adulterações.(AU)
Assuntos
Ácidos Orgânicos/análise , Açúcares/administração & dosagem , Açúcares/análise , Sucos de Frutas e Vegetais/análise , Cromatografia LíquidaResumo
One of the main factors to establish productivity of grazing cattle is the estimation of forage intake. For this, the most widely used technique is based on the estimation of fecal output using chromium dioxide as external marker. However, quantification can be expensive and sometimes not precise due to the methodology used for this purpose. Therefore, the aim of this study was to validate the colorimetric method for chromium quantification and to implement it in the estimation of fecal output in grazing cattle. The temperature, the digestion time and the wavelength for the measurement were evaluated. The method was validated for selectivity, linearity, detection and quantification limits, precision, accuracy, and stability. Results showed that temperature and digestion time are critical to improve sensitivity and quantification limits. The validation demonstrated that the method is suitable for the quantification of Cr2O3 in a wide range of concentrations, being statistically comparable with a reference method, and offering a reliable low cost and easy to implement alternative, to estimate fecal output in bovine digestibility studies.(AU)
Assuntos
Animais , Bovinos , Colorimetria/métodos , Colorimetria/veterinária , Cromo/análise , FezesResumo
One of the main factors to establish productivity of grazing cattle is the estimation of forage intake. For this, the most widely used technique is based on the estimation of fecal output using chromium dioxide as external marker. However, quantification can be expensive and sometimes not precise due to the methodology used for this purpose. Therefore, the aim of this study was to validate the colorimetric method for chromium quantification and to implement it in the estimation of fecal output in grazing cattle. The temperature, the digestion time and the wavelength for the measurement were evaluated. The method was validated for selectivity, linearity, detection and quantification limits, precision, accuracy, and stability. Results showed that temperature and digestion time are critical to improve sensitivity and quantification limits. The validation demonstrated that the method is suitable for the quantification of Cr2O3 in a wide range of concentrations, being statistically comparable with a reference method, and offering a reliable low cost and easy to implement alternative, to estimate fecal output in bovine digestibility studies.
Assuntos
Animais , Bovinos , Colorimetria/métodos , Colorimetria/veterinária , Cromo/análise , FezesResumo
Sulfuric acid digestion analyses (SAD) provide useful information to environmental studies, in terms of the geochemical balance of nutrients, parent material uniformity, nutrient reserves for perennial crops, and mineralogical composition of the soil clay fraction. Yet, these analyses are costly, time consuming, and generate chemical waste. This work aimed at predicting SAD results from portable X-ray fluorescence (pXRF) spectrometry, which is proposed as a green chemistry alternative to the current SAD method. Soil samples developed from different parent materials were analyzed for soil texture and SAD, and scanned with pXRF. The SAD results were predicted from pXRF elemental analyses through simple linear regressions, stepwise multiple linear regressions, and random forest algorithm, with and without incorporation of soil texture data. The modeling was developed with 70 % of the data, while the remaining 30 % was used for validation through calculation of R2, adjusted R2, root mean square error, and mean error. Simple linear regression can accurately predict SAD results of Fe2O3 (R2 0.89), TiO2 (R2 0.96), and P2O5 (R2 0.89). Stepwise regressions provided accurate predictions for Al2O3 (R2 0.87) and Ki - molar weathering index (SiO2/Al2O3) (R2 0.74) by incorporating soil texture data, as well as for SiO2 (R2 0.61). Random forest also provided adequate predictions, especially for Fe2O3 (R2 0.95), and improved results of Kr - molar weathering index (SiO2/(Al2O3 + Fe2O3)) (R2 0.66), by incorporation of soil texture data. Our findings showed that the SAD results could be accurately predicted from pXRF data, decreasing costs, time and the production of laboratory waste.