Prediction of body weight of Curraleiro Pé-Duro cattle based on morphometric measurements.

Cattle weight development is highly correlated with some body measurements. Based on the relationship between morphometric measurements and body mass, our aim was to develop regression equations to estimate the body weight of Curraleiro Pé-Duro (CPD) cattle to be used in farms that lack access to weighting scales. Data from 1023 animals from four farms on withers height (WH), body length (BL), body score (BS), heart girth (HG), permanent teeth (PT), scrotal perimeter (SP), and live weight were used. The animals were classified into five categories depending on age and/or sex: newborns (NB), calves, weaned animals, cows, and bulls. The best models are GLM with Gamma, Gamma, inverse Gaussian, Gaussian, and Gamma distributions for NB, calves, weaned animals, cows, and bulls, respectively. Predictive modeling for bulls was the best performing overall, with a correlation of 0.97 between the estimated by the model and the obtained with a weighting scale. For NB, calves, weaned animals, and cows, the correlation (r) was 0.85, 0.90, 0.95, and 0.87, respectively. The evaluated models are adequate to be used as a technical solution to estimate weight in a cattle production system.

Effects of rainfall and land use on nutrient responses in rivers in the Brazilian semiarid region.

This paper investigated whether rainfall promotes dilution or increase in nutrient concentrations and which land use indicators are the main predictors of nutrients in intermittent rivers in a large Brazilian semiarid region. The total phosphorus (TP) and total inorganic nitrogen (TIN) were monitored between 2013 and 2018 at 92 river water quality monitoring sites. The monthly rainfall (Rn) was obtained from 575 rain gauges. Pearson's correlation (R) between Rn and nutrient concentration was performed. The correlation patterns were also analysed based on land use data: urban area (%), agricultural field area (%), demographic density (inhabitants/km2), sewer system coverage (%), and reservoir density (reservoir/km2). Backward stepwise regression was performed to identify predictors of nutrient concentrations. The results revealed a marginal effect of rainfall on nutrients when the effects of urbanisation outweigh all other aspects. However, in regions with greater accumulated rainfall and lower reservoir density, the rainfall was related to a linear increase in nutrient concentrations (R > 0.8). Contrastingly, in the basins with less accumulated rainfall and greater inter-basin hydrological disconnection, there was a linear reduction in nutrient concentration (R < - 0.5). In the backward stepwise regression, sewer system coverage and Rn had the greatest influence for TP, and the urban area was the strongest predictor for TIN. Importantly, our results demonstrated that in semiarid rivers in densely populated regions, there is no single pattern of variability in nutrient concentration, on a wide scale of assessment. Therefore, adaptative and decentralised management can be more effective in improving water quality in these regions.

Análise multivariada aplicada na discriminação de genótipos em caracteres do tempo de cozimento em feijão (Phaseolus vulgaris L) / Multivariate analysis applied to the discrimination of genotypes in cooking timetraitsin commonbean (Phaseolus vulgaris L)

As avaliações rotineiras do caráter tempo de cozimento em feijão (Phaseolus vulgarisL.) podem ser efetuadas de distintas maneiras resultando em diferentes variáveis. Por vez, a análise estatística univariada não considera as interdependêcias entre as variáveis, podendo omitir importantes informações a respeito dos genótipos. Com isso, o objetivo do trabalhofoi dispor uma proposta alternativa para análise do tempo de cozimento em feijão, permitindo a discriminação entre genótipos. O experimento utilizado para esta abordagem foi conduzido em condições de campo na safra agrícola do ano 2017/18em Lages, Santa Catarina, Brasil. Ostratamentos foram compostos por doze genótipos, sendo quatro genitores, estruturados em dois cruzamentos BAF50 x BAF07 e BAF09 x IPR 88 Uirapuru, com suas gerações F2, F3, F8e F9. O delineamento utilizado foi blocos casualizados, com dois blocos e duas observações em cada unidade experimental. Posteriormente a colheita, a variável resposta tempo de cocção dos grãos de feijão foi mensurada com o cozedor Mattson, sendo considerado o tempo de cocção das 13 hastes iniciais. Na análise multivariada, as variáveis tempo de cocção da segunda (TCH2), décima segunda (TCH12) e décima terceira haste (TCH13) foram utilizadas com base em sua significância pelo método de seleção de variáveis passo a passo (stepwise). A análise de variância multivariada demonstrou diferença entre os genótipos (P<0,05). A partir da matriz de dissimilaridade com as distâncias de Mahalanobis e o dendrograma de agrupamento, foi possível verificaras distâncias dos genótipos derivados dos cruzamentos BAF50 x BAF07 e BAF09 x IPR 88 Uirapuru. Comisso, a análise multivariada possibilitou a discriminação dos genótipos, adicionalmente o cruzamento BAF50 x BAF07 demonstrou maiores estimativas de dissimilaridade nas progênies.(AU)

Routine evaluations of cooking time traitin common bean (Phaseolus vulgarisL.) can be performed in different ways resulting in different variables. At the same time, the univariate statistical analysis does not consider the interdependencies between the variables, and may omit important information regarding the genotypes. With this,the objective of this work was to present an alternative proposal foranalysis of the cooking time in common bean, allowing the discrimination between genotypes. The experiment used for this approach was conducted under field conditions in the 2017/18 agricultural season in Lages, Santa Catarina, Brazil. The treatments consisted of twelve genotypes, (fourparents, structured in two crossings BAF50 x BAF07and BAF09 x IPR 88 Uirapuru, with their generations F2, F3, F8and F9). The design used was randomized blocks, with two blocks and two observations in each experimental unit. After the harvest, the response variable cooking time of thegrains was measuredwith a Mattson cooker, considering the cooking time of the 13 initial stems. In the multivariate analysis, the variables cooking time of the second (TCH2), twelfth (TCH12) and thirteenth stem (TCH13) were used based on their significance by the stepwise variable selection method. Multivariate analysis of variance showed differences between genotypes (P<0.05). From the dissimilarity matrix with the Mahalanobis distances and the clustering dendrogram, itwas possible to verify the distances of the genotypes derived from crosses BAF50 x BAF07 and BAF09 x IPR 88 Uirapuru. With that, the multivariate analysis enabled thegenotypes, additionally the crossing BAF50 x BAF07 showed higher estimates of dissimilarity in the progenies.(AU)

An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil.

BACKGROUND: The recent studies of the variations in the atmospheric column-averaged CO2 concentration ([Formula: see text]) above croplands and forests show a negative correlation between [Formula: see text]and Sun Induced Chlorophyll Fluorescence (SIF) and confirmed that photosynthesis is the main regulator of the terrestrial uptake for atmospheric CO2. The remote sensing techniques in this context are very important to observe this relation, however, there is still a time gap in orbital data, since the observation is not daily. Here we analyzed the effects of several variables related to the photosynthetic capacity of vegetation on [Formula: see text] above São Paulo state during the period from 2015 to 2019 and propose a daily model to estimate the natural changes in atmospheric CO2. RESULTS: The data retrieved from the Orbiting Carbon Observatory-2 (OCO-2), NASA-POWER and Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) show that Global Radiation (Qg), Sun Induced Chlorophyll Fluorescence (SIF) and, Relative Humidity (RH) are the most significant factors for predicting the annual [Formula: see text] cycle. The daily model of [Formula: see text] estimated from Qg and RH predicts daily [Formula: see text] with root mean squared error of 0.47 ppm (the coefficient of determination is equal to 0.44, p < 0.01). CONCLUSION: The obtained results imply that a significant part of daily [Formula: see text] variations could be explained by meteorological factors and that further research should be done to quantify the effects of the atmospheric transport and anthropogenic emissions.

Stepwise aggregation method for the WQI-CCME to generate a water quality profile for a long river: case study-São Francisco River, Brazil.

This paper presents a new aggregation method to calculate the WQI-CCME, named stepwise aggregation method, to communicate the water quality of the São Francisco River, Brazil, a river of national expression, with more than 2700 km long. Differently from the original proposal for the WQI-CCME, the new aggregation method uses data from a single monitoring campaign, to avoid the loss of data, as many variables are not systematically measured in all monitoring campaigns. The stepwise aggregation method also requires to combine data from a minimum of four monitoring locations per section of the river, to attend the statistical requirement, a proposal already presented in the literature. After using the first four points, the next calculation requires to abandon the first point (upstream) and to include the next point (downstream), and the sequential calculation will generate the results to build the river water quality profile. In the present work, with 31 monitoring points, the stepwise aggregation method allowed to calculate the WQI-CCME for 25 sections. The stepwise method has the advantage of multiplying the number of index calculations, allowing to construct a more uniform water quality profile for a long river. The choice of using the WQI-CCME in this work, is because this index has many successful applications all over the world, favored by its flexibility of parameter selection, ease of calculation, adaptability to legal requirements of different locations and different water uses. The WQI-CCME profiles were compared with those for the WQI-CETESB, an index derived from the WQI-NSF and extensively used by the Brazilian Monitoring Programs. The comparison demonstrated similarity, only if the same number of parameters were used, but WQI-CETESB gives better water quality, similarly reported for the WQI-NSF, which systematically classify the water quality in the superior range. In this paper, the calculation of the WQI-CCME, with 38 and 20 parameters, confirmed the dependence of the WQI-CCME factors (F1, F2) on the number of variables considered. The calculation with more variables (38) gave better results for the water quality than the calculation with less variable (20). Thus, while the application of the WQI-CCME has a variety of advantages, it requires careful evaluation about the variables to use, and the objectives for the index calculation, as considered by many authors.

Stepwise removal compared to complete removal for deep carious lesions. / Remoción en dos pasos (stepwise) comparado con remoción total para caries dentinarias profundas.

INTRODUCTION: Carious lesions have traditionally been treated by non-selective (complete or total) removal of carious tissue. However, due to its risks and adverse effects, carious tissue removal techniques have been developed, based on the preservation of tooth tissue, including the stepwise removal. The objective of this summary is to clarify the uncertainty about the effectiveness and safety of the stepwise removal technique compared to complete removal. METHODS: To answer this question we used Epistemonikos, the largest database of systematic reviews in health, which is maintained by searching multiple sources of information, including MEDLINE, EMBASE, Cochrane, among others. We extracted data from identified reviews, reanalyzed data from primary studies, performed a meta-analysis, and prepared summary tables of results using the GRADE method. RESULTS AND CONCLUSIONS: We identified three systematic reviews that included five primary studies, four of them corresponding to randomized trials. We concluded that stepwise removal may reduce the risk of pulp exposure, the risk of signs and symptoms of pulp disease and the risk of restoration failure, but the certainty of the evidence is low.

INTRODUCCION: Las lesiones cariosas han sido tradicionalmente tratadas mediante la remoción total (completa o no selectiva) del tejido cariado. Sin embargo, debido a sus riesgos y efectos adversos, se han desarrollado nuevas técnicas de remoción del tejido cariado, basadas en la conservación del tejido dentario, entre ellas la remoción en dos pasos o stepwise. El objetivo de este resumen es aclarar la incertidumbre sobre la efectividad y la seguridad de la técnica de remoción en dos pasos (stepwise) comparado con la remoción total. MÉTODOS: Para responder esta pregunta utilizamos Epistemonikos, la mayor base de datos de revisiones sistemáticas en salud, la cual es mantenida mediante búsquedas en múltiples fuentes de información, incluyendo MEDLINE, EMBASE, Cochrane, entre otras. Extrajimos los datos desde las revisiones identificadas, reanalizamos los datos de los estudios primarios, realizamos un metaanálisis, preparamos tablas de resumen de los resultados utilizando el método GRADE. RESULTADOS Y CONCLUSIONES: Identificamos tres revisiones sistemáticas que en conjunto incluyeron cinco estudios primarios, de los cuales cuatro corresponden a ensayos aleatorizados. Concluimos que la remoción en dos pasos (stepwise) podría disminuir el riesgo de exposición pulpar, el riesgo de aparición de signos y síntomas pulpares y la falla en la restauración, pero la certeza de la evidencia es baja.

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan / Modelagem estatística para analisar o rendimento de grãos de trigo durum sob condições de chuva em Azad Jammu Kashmir, Paquistão

One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation ,regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. [...].(AU)

Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do [...].(AU)

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan / Modelagem estatística para analisar o rendimento de grãos de trigo durum sob condições de chuva em Azad Jammu Kashmir, Paquistão

One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation ,regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. [...].

Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do [...].

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan

Abstract One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation, regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. The results of PCA showed that most variation (70%) among data set can be explained by the first five components. It also identified that Seeds/Spike; 1000-Grain Weight and Harvest Index have a higher influence in contributing to the durum wheat yield. Based on the results it is recommended that these important parameters might be considered and focused in future durum wheat breeding programs to develop high yield varieties.

Resumo Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade,. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do rendimento de grãos com a porcentagem de germinação, número de perfilhos/planta, sementes / espiga e índice de colheita. Esses resultados da análise de correlação direcionaram a importância dos caracteres morfológicos e seu impacto positivo e significativo no rendimento de grãos. Os resultados da PCA mostraram que a maior parte da variação (70%) entre o conjunto de dados pôde ser explicada pelos cinco primeiros componentes. Também identificou que Sementes / Espiga, Peso de 1000 Grãos e Índice de Colheita têm uma maior influência na contribuição para o rendimento do trigo duro. Com base nos resultados, recomenda-se que esses importantes parâmetros possam ser considerados e focados em futuros programas de melhoramento de trigo duro para desenvolver variedades de alto rendimento.

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan / Modelagem estatística para analisar o rendimento de grãos de trigo durum sob condições de chuva em Azad Jammu Kashmir, Paquistão

One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation, regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. The results of PCA showed that most variation (70%) among data set can be explained by the first five components. It also identified that Seeds/Spike; 1000-Grain Weight and Harvest Index have a higher influence in contributing to the durum wheat yield. Based on the results it is recommended that these important parameters might be considered and focused in future durum wheat breeding programs to develop high yield varieties.

Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade,. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do rendimento de grãos com a porcentagem de germinação, número de perfilhos/planta, sementes / espiga e índice de colheita. Esses resultados da análise de correlação direcionaram a importância dos caracteres morfológicos e seu impacto positivo e significativo no rendimento de grãos. Os resultados da PCA mostraram que a maior parte da variação (70%) entre o conjunto de dados pôde ser explicada pelos cinco primeiros componentes. Também identificou que Sementes / Espiga, Peso de 1000 Grãos e Índice de Colheita têm uma maior influência na contribuição para o rendimento do trigo duro. Com base nos resultados, recomenda-se que esses importantes parâmetros possam ser considerados e focados em futuros programas de melhoramento de trigo duro para desenvolver variedades de alto rendimento.

Strategies and Future Opportunities for the Prevention, Diagnosis, and Management of Cow Milk Allergy.

The prevalence of food allergy has increased over the last 20-30 years, including cow milk allergy (CMA) which is one of the most common causes of infant food allergy. International allergy experts met in 2019 to discuss broad topics in allergy prevention and management of CMA including current challenges and future opportunities. The highlights of the meeting combined with recently published developments are presented here. Primary prevention of CMA should start from pre-pregnancy with a focus on a healthy lifestyle and food diversity to ensure adequate transfer of inhibitory IgG- allergen immune complexes across the placenta especially in mothers with a history of allergic diseases and planned c-section delivery. For non-breastfed infants, there is controversy about the preventive role of partially hydrolyzed formulae (pHF) despite some evidence of health economic benefits among those with a family history of allergy. Clinical management of CMA consists of secondary prevention with a focus on the development of early oral tolerance. The use of extensive Hydrolysate Formulae (eHF) is the nutrition of choice for the majority of non-breastfed infants with CMA; potentially with pre-, probiotics and LCPUFA to support early oral tolerance induction. Future opportunities are, among others, pre- and probiotics supplementation for mothers and high-risk infants for the primary prevention of CMA. A controlled prospective study implementing a step-down milk formulae ladder with various degrees of hydrolysate is proposed for food challenges and early development of oral tolerance. This provides a more precise gradation of milk protein exposure than those currently recommended.

Comparison between Thin-Layer Models and Non-Traditional Methods in the Modelling of Drying Kinetics of Crustacean Wastes

Abstract This research aims to compare the classical thin-layer models, stepwise fit regression method (SRG) and artificial neural networks (ANN) in the modelling of drying kinetics of shrimp shell and crab exoskeleton. Thus, drying curves were obtained using a convective dryer (3.0 m/s) at temperatures of 30.45 and 60oC. The results showed a decreasing tendency for the drying time as the temperature increased for both materials. Drying curves modelling of both materials showed fitted results with R 2 adj >0.998 and MRE<13.128% for some thin-layer models. On the other hand, by SRG a simple model could be obtained as a function of time and temperature, with the greatest accuracy being found in the modelling of experimental data of crab exoskeleton, with MRE<10.149%. Finally, the ANNs were employed successfully in the modelling of drying kinetics, showing high prediction quality with the trained recurrent ANN models.

Modeling and analysis of greenhouse environmental factors in north China based on path analysis and stepwise regression / Modelagem e análise de fatores ambientais de estufa no norte da China com base na análise de caminho e regressão stepwise

To explore the relationship between environmental factors in a greenhouse on sunny/cloudy days, an environmental factor model was developed using path analysis and stepwise regression analysis. The environmental factors studied include greenhouse air temperature (GAT), greenhouse air humidity (GAH), soil temperature (ST), soil humidity (SH), greenhouse radiation (GR), and carbon dioxide concentration (CDC). The results showed that on a sunny day, the models can describe the GAT and GAH well (R2 =0.957, 0.936), and the model's tested determination coefficient was above 0.87. However, due to the delay and other main control factors of ST and SH, the models' determination coefficient was poor (R2 =0.587, 0.625). However, there was a fifth-order polynomial fitting relationship between ST and SH (R2 =0.817). On a cloudy day, the coupling effect between dependent variables and environmental factors was well described (R2 =0.97). The model test results for GAT and ST were better (R2 =0.997, 0.981), and the GAH and SH model test results were also good (R2 =0.789,0.882). In summary, the established coupling model of greenhouse environmental factors was suitable for simple greenhouse environment prediction, allowing greenhouse managers to easily predict greenhouse environmental change trends and reduce the cost of testing, laying a foundation for the subsequent establishment of a simpler, more accurate greenhouse factor model.(AU)

Para explorar a relação entre fatores ambientais em casa de vegetação em dias ensolarados / nublados, foi obtido o modelo de fatores ambientais, utilizando análise de caminho e análise de regressão passo a passo. Os principais fatores ambientais incluem temperatura do ar da estufa (GAT), umidade do ar da estufa (GAH), temperatura do solo (ST), umidade do solo (SMC), radiação do efeito estufa (GR), concentração de dióxido de carbono (CDC). Os resultados mostraram que: Em um dia ensolarado, os modelos puderam descrever o poço GAT e GAH (R2 =0.957, 0.936). O coeficiente de determinação do teste do modelo foi superior a 0.87. No entanto, devido ao atraso e outros fatores de controle principais de ST e SH, o coeficiente de determinação dos modelos foi ruim (R2 =0.587, 0.625). No entanto, verificouse que havia uma relação de ajuste polinomial de quinta ordem entre ST vs SH (R2 =0.817). Em um dia nublado, o efeito de acoplamento entre variáveis dependentes e fatores ambientais foi bem descrito (R2 =0.97), o teste do modelo GAT e ST foi melhor (R2 =0.997,0.981), o teste GAH e SH também foi bom (R2 =0.789,0.882). Em resumo, o modelo de acoplamento dos fatores ambientais da estufa estabelecido foi adequado para a previsão simples do ambiente da estufa, facilitando para os gerentes da estufa prever a tendência das mudanças ambientais da estufa e reduzir o custo do teste, além de estabelecer as bases para o estabelecimento subsequente de um modelo de fator de efeito estufa mais preciso e simplificado.(AU)

Effect of meteorological elements on the content and composition of Aloysia triphylla (L´Hérit) Britton essential oil / Efecto de los elementos meteorológicos sobre el contenido y la composición del aceite esencial de Aloysia triphylla (L´Hérit) Britton

The concentration and composition of an essential oil can vary according to environmental variations and seasonal periods. The objective of this study was to correlate meteorological elements with the content and concentration of components of Aloysia triphylla essential oil, for the four seasons of the year. The experiment was conducted in a plastic greenhouse of the UFSM, Frederico Westphalen campus ­ RS, Brazil, in a complete randomized blocks design during the four seasons, with three repetitions. The meteorological data were collected with the aid of a compact meteorological station, in order to characterize the environment in which the species was conducted. The evaluations were carried out at the middle date of each season. It was observed a correlation between the meteorological variables with the essential oil production and its components. According to the analysis, there influence of the temperature on the essential oil contents, considering that the maximum temperature shows a direct positive influence on the concentration of limonene and negative for spathulenol.

El contenido y la composición de un aceite esencial pueden variar según las variaciones ambientales y los períodos estacionales. El objetivo de este estudio fue correlacionar los elementos meteorológicos con el contenido y la concentración de los componentes del aceite esencial de Aloysia triphylla, para las cuatro estaciones del año. El experimento se realizó en un invernadero de plástico de la UFSM, campus de Frederico Westphalen - RS, Brasil, en un diseño completo de bloques al azar durante las cuatro estaciones, con tres repeticiones. Los datos meteorológicos se recopilaron con la ayuda de una estación meteorológica compacta, para caracterizar el entorno en el que se realizó la especie. Las evaluaciones se llevaron a cabo en la fecha media de cada temporada. Se observó una correlación entre las variables meteorológicas con la producción de aceites esenciales y sus componentes. De acuerdo con el análisis, existe una influencia de la temperatura en los contenidos de aceites esenciales, considerando que la temperatura máxima muestra una influencia positiva directa sobre la concentración de limoneno y negativa para el espatulenol.

Stepwise approach for the control and eventual elimination of Taenia solium as a public health problem.

BACKGROUND: Taenia solium taeniosis/cysticercosis is a public health and agricultural problem, especially in low-income countries, and has been ranked the top foodborne parasitic hazard globally. In 2012, the World Health Organization published a roadmap that called for a validated strategy for T. solium control and elimination by 2015. This goal has not been met, and validated evidence of effective control or elimination in endemic countries is still incomplete. Measuring and evaluating success of control programmes remains difficult, as locally acceptable targets have not been defined as part of the 2012 roadmap nor from other sources, and the performance of tools to measure effect are limited. DISCUSSION: We believe that an international agreement supported by the tripartite World Health Organization, Food and Agriculture Organization of the United Nations, and World Organisation for Animal Health is needed to facilitate endemic countries in publicising SMART (Specific, Measurable, Achievable/attainable, Relevant, Time-bound) country-level control target goals. These goals should be achievable through locally acceptable adoption of options from within a standardised 'intervention tool-kit', and progress towards these goals should be monitored using standardised and consistent diagnostics. Several intervention tools are available which can contribute to control of T. solium, but the combination of these - the most effective control algorithm - still needs to be identified. In order to mount control efforts and ensure political commitment, stakeholder engagement and funding, we argue that a stepwise approach, as developed for Rabies control, is necessary if control efforts are to be successful and sustainable. CONCLUSIONS: The stepwise approach can provide the framework for the development of realistic control goals of endemic areas, the implementation of intervention algorithms, and the standardised monitoring of the evaluation of the progress towards obtaining the control target goals and eventually elimination.

Risk Factors in Chronic Diseases ­ Control with an Active Epidemiological Surveillance System: one step further with the STEPwise model / Factores de riesgo en enfermedades crónicas. Control con un sistema activo de vigilancia epidemiológica: un paso más allá con el modelo STEPwise / Fatores de risco em doenças Crônicas. Controle com um Sistema de Vigilância Epidemiológica Ativa: Um passo adiante com o modelo STEPwise

It has long been known that chronic diseases are often the result of pro-longed exposure to certain environmental, lifestyle or socio-economic fac-tors. It is also recognized that chronic diseases can be prevented, detected and controlled; but the reality is that the disease profile in a developing country like Colombia demonstrates a large burden of chronic diseases, reflected in most of its communities. This problem is also the result of an erroneous public health approach, focusing on medical treatment for the later stages of the disease, living prevention to a secondary role.At the individual level, a health system like Colombian's framework do not perform enough work and efforts for early detection and rapid actions to address modifiable risk factors. Individual and population-based measures against chronic disease risk factors are carried out sporadically for some people, but not as a preventive public policy.Therefore, complimenting the need for activities on the determinants of popu-lation health, the purpose of this proposal is directed to the management and control of these deficiencies through the implementation of an active survei-llance system. Using the World Health Organization step-by-step model as the conceptual framework, this specific surveillance system is established as a new strategy through which health data at the community level can be analyzed, expanded, and integrated into existing general public health surveillance and the infrastructure of the Colombian's health programs. As a result, this document intends to lay out the foundations for these new strategic tools to inform suitable planning with the adaptation of interventions; aiming at achieving optimal early detection and rapid intervention of risk factors. Closing these gaps should be another step towards reaching a preventive approach to address the enormous burden of chronic diseases for the Colombian population.

Desde buen tiempo atrás, se es conocido que las enfermedades crónicas suelen ser consecuencia de una exposición prolonga-da a ciertos factores ambientales, de estilo de vida o socioeco-nómicos. Igualmente se reconoce que las enfermedades cró-nicas pueden prevenirse, detectarse y controlarse, la realidad es que el perfil de la enfermedad en Colombia demuestra una gran carga de enfermedades crónicas reflejadas en la mayoría de sus comunidades. Este problema es también el resultado de un enfoque de salud pública erróneo, centrado en el tratamien-to médico para las últimas etapas de la enfermedad, dejando la prevención a un papel secundario.A nivel individual, los marcos del sistema de salud colombiano no realizan el trabajo y los esfuerzos suficientes para la detec-ción temprana y las acciones rápidas para abordar los factores de riesgo modificables. Los medidas individuales y poblaciona-les contra factores de riesgo de enfermedades crónicas, en rea-lidad, se llevan a cabo esporádicamente para algunas personas, pero no como una política pública preventiva. Por lo tanto, complementando la necesidad de actividades sobre los determinantes de la salud poblacional, el propósito de esta propuesta está dirigido al manejo y control de estas deficiencias mediante la implementación de un sistema de vigilancia activa. Teniendo el modelo paso a paso de la Organización Mundial de la Salud como marco conceptual, este sistema de vigilancia espe-cífico se establece como una nueva estrategia mediante la cual los datos de salud a nivel comunitario pueden analizarse, ampliarse e integrarse en la vigilancia de salud pública general existente y la infraestructura del programa de salud colombiano. Como resul-tado, este documento tiene la intención de establecer los funda-mentos de estas nuevas herramientas estratégicas para informar la planificación territorial con la adaptación de las intervenciones, con el objetivo de lograr una detección temprana óptima y una rápida intervención de los factores de riesgo. Cerrar estas brechas debe ser otro paso hacia el logro de un enfoque preventivo como abordaje de la enorme carga de enfermedades crónicas para la población colombiana.

Há muito tempo sabe-se que as doenças crônicas são geral-mente o resultado de uma exposição prolongada a certos fato-res ambientais, de estilo de vida ou socioeconômicos. Também se reconhece que as doenças crônicas podem ser prevenidas, detectadas e controladas, porém o perfil de doenças na Co-lômbia monstra uma grande carga de doenças crônicas refle-tida na maioria das comunidades. Esse fato reflete uma abor-dagem errada da saúde pública, focada no tratamento médico para as fases posteriores da doença, ficando a prevenção em um papel secundário.No nível individual, as estruturas do sistema de saúde colom-biano não fazem esforço suficiente para detectar precocemen-te as doenças e agir rápidamente para lidar com os fatores de risco modificáveis. Medidas individuais e populacionais contra fatores de risco para doenças crônicas são esporádica e par-cialmente realizadas, mas não maciçamente como política pú-blica preventiva. Portanto, complementando a necessidade de atividades so-bre os determinantes da saúde da população, o objetivo des-ta proposta é direcionar ao gerenciamento e controle dessas deficiências por meio da implementação de um sistema de vigilância ativo. O modelo de Passo a passo, proposto pela Organização Mundial da Saúde foi aplicado, trata-se de um sistema de vigilância específico, estabelecido como uma nova estratégia pela qual os dados de saúde no nível da comunida-de podem ser analisados, ampliados e integrados à vigilância da saúde pública geral e infraestrutura existentes do programa de saúde colombiano. Este documento pretende estabelecer novas ferramentas estratégicas para informar o planejamen-to territorial adaptando intervenções para conseguir detectar precocemente o fator de risco e interví-lo rápidamente. Pre-encher essas lacunas contribui para uma abordagem preven-tiva para enfrentar o enorme fardo de doenças crônicas da população colombiana

Evidence-based strategies for the minimally invasive treatment of carious lesions: Review of the literature.

Resulting in a high economic and biological cost, the traditional therapeutic approach to carious lesion management is still largely restorative. Minimally invasive (MI) treatment offers an attractive alternative to managing carious lesions in a more conservative and effective manner, resulting in enhanced preservation of tooth structure. The aim of this review was to summarize the evidence behind several MI alternatives for carious lesion management, including the use of sealants, infiltration, atraumatic restorative treatment (ART), and selective carious tissue removal (e.g., indirect pulp capping, stepwise removal, or selective removal to soft dentine). Relevant literature was screened, and articles reporting randomized controlled trials or systematic reviews of strategies to manage non-cavitated or cavitated carious lesions in adults and children were included. Fifty six articles met the inclusion criteria. For non-cavitated lesions, the use of sealants is supported by strong evidence, while the evidence for infiltration of proximal lesions is moderate. For deep cavitated lesions, selective removal to soft dentin and/or stepwise excavation is supported by strong evidence. The use of the ART technique to restore cavitated lesions is also supported by strong evidence as a suitable strategy that has been used extensively in the literature concerning non-dental settings. Preservation of tooth structure through the use of MI treatment for both non-cavitated and cavitated lesions is supported by moderatestrong evidence, which supports the paradigm shift towards routine use of more conservative strategies in the treatment of carious lesions.

[Clinical experience with omalizumab in patients with severe asthma. Real-world data]. / Experiencia clínica con omalizumab en pacientes con asma severa. Datos del mundo real.

BACKGROUND: Omalizumab is a monoclonal antibody that is prescribed in a stepwise addition regimen for the treatment of severe asthma. OBJECTIVE: To report the experience of patients with severe asthma who were given omalizumab in accordance with international guides, in a context of real-world data. METHODS: Open, analytical, cross-sectional, retrospective, observational clinical study with real-world data. GINA 2006 Asthma Control Scheme was used to evaluate patients, and a questionnaire was used to evaluate patient characteristics, effectiveness, safety, and tolerance to omalizumab. RESULTS: 48 patients were studied, 34 women and 14 men with an average age of 39 years. The average disease duration was 26 years. Average serum IgE was 522 IU. At the beginning of treatment, all patients had uncontrolled asthma; at the end, 69% asthma control was obtained, 19% was partially controlled and 12% unchanged. The changes were observed at seven months on average. CONCLUSION: Omalizumab is effective and safe for treating severe asthma when applied in accordance with international guidelines for the management of bronchial asthma.

Antecedentes: El omalizumab es un anticuerpo monoclonal que se prescribe en esquema de adición por pasos para el tratamiento del asma severa. Objetivos: Informar la experiencia en pacientes con asma severa a quienes se aplicó omalizumab conforme a las guías internaciones, en un contexto de datos de mundo real. Métodos: Estudio retrospectivo, clínico, observacional, abierto, analítico y transversal a partir de datos de la vida real. Se utilizó el esquema de Control del Asma de GINA 2006 para evaluar a los pacientes y con un cuestionario se calificaron las características del paciente, efectividad, seguridad y tolerancia al omalizumab. Resultados: Se estudiaron 48 pacientes, 34 mujeres y 14 hombres, con edad promedio de 39 años. La duración promedio de la enfermedad fue de 26 años. La concentración sérica promedio de la IgE fue de 522 UI. Al inicio del tratamiento, todos los pacientes estaban sin control del asma; al final, en 69% se obtuvo control del asma, 19% estaba parcialmente controlado y 12% sin modificaciones. Los cambios se observaron en promedio a los siete meses. Conclusión: El omalizumab es efectivo y seguro para tratar el asma severa cuando se aplica conforme las guías internacionales para el manejo del asma bronquial.

Estimativa da área foliar de pessegueiro por método não-destrutivo / Non-destructive leaf area estimation in peach tree

A predição de valores de área foliar (AF) sem a destruição de plantas é de grande interesse nas pesquisas agronômicas. Neste trabalho, foram desenvolvidos e testados três modelos de predição de AF, utilizando-se a largura (L), o comprimento (C) ou em ambas as dimensões da folha de pessegueiro 'BRS Kampai'. Testou-se também um modelo genérico de DEMIRSOY et al. (2004), proposto para determinar AF em pessegueiro e desenvolvido nas condições de cultivo da Turquia. O uso de apenas uma dimensão, visando a reduzir a onerosidade nas avaliações, não permite predições adequadas e podem levar a erros estatísticos por alterar a variabilidade dos dados em relação às AF reais. O modelo não destrutivo proposto neste trabalho foi "AF=6,852+0,823L*C-0,691L2-1,614C/L", que pode ser indicado para estimar satisfatoriamente a AF em substituição à análise destrutiva e apresentou ganhos de estimação, quando comparado ao modelo genérico de DEMIRSOY et al. (2004).(AU)

The prediction of leaf area (LA) without causing damage to the plant is a subject of great interest in agricultural research. In this study, it was developed and tested three models based on the length (L), width (W) or both of these leaf dimensions of 'BRS Kampai' peach trees. Further to this, a DEMIRSOY et al. (2004) generic model proposed to determine leaf area in peach trees growing in Turkey was also tested. The use of only one dimension, which aims to reduce the effort required by the assessor, does not permit adequate predictions and may lead to statistical errors by changing the variability of the original LA data. The model proposed in this study was "LA=6.852+0.823L*W-0.691W2-1.614L/W", this model can be used to satisfactorily estimate the LA, replacing the destructive analysis, and provided a better prediction than the generic model proposed by DEMIRSOY et al. (2004).(AU)

Estimativa da área foliar de pessegueiro por método não-destrutivo / Non-destructive leaf area estimation in peach tree

RESUMO:A predição de valores de área foliar (AF) sem a destruição de plantas é de grande interesse nas pesquisas agronômicas. Neste trabalho, foram desenvolvidos e testados três modelos de predição de AF, utilizando-se a largura (L), o comprimento (C) ou em ambas as dimensões da folha de pessegueiro 'BRS Kampai'. Testou-se também um modelo genérico de DEMIRSOY et al. (2004), proposto para determinar AF em pessegueiro e desenvolvido nas condições de cultivo da Turquia. O uso de apenas uma dimensão, visando a reduzir a onerosidade nas avaliações, não permite predições adequadas e podem levar a erros estatísticos por alterar a variabilidade dos dados em relação às AF reais. O modelo não destrutivo proposto neste trabalho foi "AF=6,852+0,823L*C-0,691L2-1,614C/L", que pode ser indicado para estimar satisfatoriamente a AF em substituição à análise destrutiva e apresentou ganhos de estimação, quando comparado ao modelo genérico de DEMIRSOY et al. (2004).

ABSTRACT:The prediction of leaf area (LA) without causing damage to the plant is a subject of great interest in agricultural research. In this study, it was developed and tested three models based on the length (L), width (W) or both of these leaf dimensions of 'BRS Kampai' peach trees. Further to this, a DEMIRSOY et al. (2004) generic model proposed to determine leaf area in peach trees growing in Turkey was also tested. The use of only one dimension, which aims to reduce the effort required by the assessor, does not permit adequate predictions and may lead to statistical errors by changing the variability of the original LA data. The model proposed in this study was "LA=6.852+0.823L*W-0.691W2-1.614L/W", this model can be used to satisfactorily estimate the LA, replacing the destructive analysis, and provided a better prediction than the generic model proposed by DEMIRSOY et al. (2004).