Indicadores de qualidade do solo e determinação de níveis de degradação de pastagens

A utilização do solo no Brasil foi realizada de forma exploratória, com a conversão de sistemas naturais em sistemas agrícolas extrativistas. Grande parte das áreas de sistemas naturais deu lugar às áreas de cultivo, posteriormente sucedidas por pastagens, encontrando-se boa parte em elevado estágio de degradação. Diante do exposto, o presente trabalho tem como objetivo avaliar a sensibilidade de alguns atributos físicos, químicos, compartimentos da matéria orgânica e determinações de campo como indicadores de qualidade do solo estabelecendo relações entre os mesmos. O estudo foi desenvolvido no município de Governador Valadares-MG, para tal foram escolhidos níveis de pastagens progressivamente degradadas observadas visualmente (pastagem 1, pastagem 2, pastagem 3 e pastagem 4), duas áreas de capoeira em estágios de regeneração natural (capoeira 1 e capoeira 2) e mata (referência). O solo em estudo foi um Argissolo Vermelho, textura argilosa. As determinações dos indicadores físicos, químicos e compartimentos da matéria orgânica foram realizadas em quatro profundidades (0-5, 5-10, 10-20 e 20-40 cm). Foram realizadas também determinações de campo, todos os atributos foram determinados no terço médio de uma pedoforma convexa, em dois períodos, chuvoso e seco. Através dos atributos do solo utilizados como indicadores do solo, foi possível separar dois níveis de pastagens degradadas, baixa degradação (pastagem 1 e pastagem 2) e elevada degradação (pastagem 3 e pastagem 4). A melhor qualidade do solo foi observada na área de mata. Entre os atributos do solo utilizados como indicadores de qualidade do solo os mais sensíveis aos níveis de pastagens degradadas são os atributos químicos pH, Ca2+, Mg2+, Al3+, H+Al, saturação por bases (V), saturação por alumínio (m), seguidos pelos atributos físicos macroporosidade e porosidade total. Os compartimentos da matéria orgânica do solo, matéria orgânica particulada (MOP), matéria orgânica leve (MOL) e carbono solúvel em água (CSA) utilizados como indicadores de qualidade do solo são eficientes em diferenciar a qualidade do solo nas conversões de sistema, mata/pastagens e pastagens/capoeiras, não sendo sensível aos níveis de pastagens degradadas, o que sugere estudos futuros utilizado compartimentos mais sensíveis a pequenas variações. As determinações de campo espessura do horizonte “A”, profundidade do sistema radicular e taxa de cobertura do solo são sensíveis aos níveis de pastagens degradadas, e apresentam uma boa correlação com os indicadores de laboratório macroporosidade (Ma), matéria orgânica particulada (MOP), saturação por bases (V), saturação por alumínio (m) sugerindo assim a utilização dessas determinações como indicadores de qualidade do solo em pastagens degradadas, para o solo e a região estudados.

Distribuição espacial de atributos de solo e de plantas na cultura do mamoeiro no norte capixaba

No Brasil, as lavouras de mamoeiro das planícies dos tabuleiros costeiros são as que melhor desenvolvem e aplicam tecnologias para a produção de mamão no mundo. O objetivo foi aplicar a estatística clássica e a geoestatística no mapeamento e na correlação da variabilidade espacial de atributos químicos e físicos de solo e de plantas de mamoeiro (Carica papaya L.) de uma lavoura comercial do norte capixaba cultivada em um Argissolo típico dos tabuleiros costeiros. O solo de textura arenosa de caráter coeso foi preparado convencionalmente e cultivado com mamoeiro variedade Golden THB. Após a sexagem, procederam-se as amostragens de solo, amostrado na projeção da copa (0-0,20 e 0,20-0,40 m) para a determinação dos atributos químicos e físicos, e de atributos biométricos das plantas em uma área de 1,2 ha (114 x 110 m) totalizando 129 pontos amostrais georreferenciados. Ao nono mês após o transplantio, registrou-se a altura da colheita dos primeiros frutos, o número e a massa dos frutos colhidos para estimativa da produtividade, amostrando três plantas por ponto amostral durante três meses. Os dados foram submetidos à análise estatística descritiva e à correlação de Pearson. A dependência espacial das variáveis foi analisada através da ferramenta geoestatística, com obtenção de semivariograma e os mapas de distribuição das variáveis. A maior parte dos atributos de solo e de plantas de mamoeiro apresenta dependência espacial e é mapeada adequadamente. Há correlação de dependência vertical para densidade do solo, argila, silte, resistência do solo à penetração na linha de plantio e na rua e volume total de poros. Dos atributos químicos não ocorre este comportamento apenas para K, Al e Sat K. As frações areia e argila foram os principais atributos a constituírem correlação com os demais. Há poucas correlações dos atributos do solo com os atributos biométricos e a produtividade do mamoeiro. Ocorre correlação positiva entre a produtividade inicial do mamoeiro com características biométricas ideias para as plantas de mamoeiro. A fertilidade e o preparo do solo são expressivos para o desenvolvimento do mamoeiro e para a variabilidade espacial dos atributos avaliados.

Caracterização físico-química do amido e da farinha da fruta-pão (Artocarpus altilis) e aplicação em pães de forma

A fruta-pão é um fruto rico em vitaminas e minerais do qual pode ser extraído o amido ou processado à forma de farinha aumentando sua vida de prateleira. Essa farinha pode substituir parcialmente a farinha de trigo em produtos panificáveis. O objetivo do presente estudo foi extrair e analisar algumas características físicas, químicas e tecnológicas do amido nativo de fruta-pão, além de realizar a caracterização físico-química da farinha obtida desse fruto, de suas misturas com a farinha de trigo e verificar a viabilidade destas na elaboração de pão de forma. O amido de fruta-pão foi submetido às análises de umidade, capacidade de ligação de água a frio (CLAF), poder de inchamento (PI), índice de solubilidade (IS), sinérese, microscopia eletrônica de varredura (MEV) e difração de raio X. O amido de milho foi analisado para efeito de comparação. O amido de fruta-pão apresentou maior umidade (18,32%), CLAF (80,33%), PI (198,71 g/g a 90 0C), IS (7,22% a 90 0C) e sinérese (2,69 mL) quando comparado com o amido de milho. Pela análise de MEV, verificou-se que o amido de fruta-pão apresentou grânulos menores que os do amido de milho, mas ambos com formato poliédrico. A difração de raio X permitiu classificar o amido de milho como tipo A e o de fruta-pão como tipo B. As amostras de farinha analisadas continham um percentual de farinha de fruta-pão de 0% (controle), 5%, 10%, 15%, 20% e 100% e foram submetidas às análises de umidade, cinzas, extrato etéreo, carboidratos, proteína, energia, fibra total, solúvel e insolúvel, pH, cor e granulometria. Os mesmos percentuais de substituição foram utilizados para a elaboração dos pães, analisados em relação a umidade, peso, volume, volume específico, altura, perfil de textura, aceitação sensorial e intenção de compra. A substituição da farinha de trigo pela farinha de fruta-pão influenciou na granulometria das misturas, reduziu o teor de proteína de 10,8% para 3,99%, elevou o percentual de carboidratos, cinzas e pH de 73,84%, 0,52% e 5,94 para 83,10%, 2,19% e 6,34 , respectivamente. No entanto, para a umidade, teor de lipídeos e diferença global de cor das amostras não foi verificada influência significativa do percentual de substituição. A farinha de fruta-pão apresentou um maior percentual de fibras totais (21,17%), solúveis (10,39%) e insolúveis (10,77%). Para os pães de forma, o aumento da substituição não influenciou na umidade e no peso dos pães, exceto para a amostra com 100% de farinha de fruta-pão, que apresentou 41,28% de umidade e peso de 588,65 g. Para as demais análises, os maiores percentuais de substituição influenciaram negativamente as características do produto. Em relação a caracterização físico-química das amostras de farinha, o aumento do percentual de substituição influenciou na maioria dos parâmetros avaliados. Para os pães, as formulações com maiores notas hedônicas e com melhor intenção de compra foram as com substituição de 5% e de 10%.

Caracterização de isolados de Corynespora cassiicola e avaliação da sensibilidade in vitro a fungicidas

Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Biológicas, Departamento de Fitopatologia, Programa de Pós-Graduação em Fitopatologia, 2015.

Morphological, physical and pedogenetic attributes related to water yield in small watersheds in Guarapari/ES, Brazil

Soil characteristics related to the genesis, land use and management are important factors in water dynamics in watersheds. This study evaluated physical, morphological and pedogenetic attributes related to water yield potential in small watersheds in Guarapari, ES, Brazil. The following representative profiles were selected, morphologically described and sampled in area of Atlantic Forest domain: Lithic Udifolists, Oxyaquic Udifluventes, Typic Paleudults, Typic Hapludults, Typic Hapludox, Oxic Dystrudepts and Typic Endoaquents. Samples were collected in the soil profiles for physical analysis. Measurements of field-saturated hydraulic conductivity and soil penetration resistance were perfomed in some profiles, which were under different uses. The Endoaquents of Limão Creek can be considered efficient as temporary water reservoirs. However, the use of artificial drainage tends to reduce this effect. Differential erosion was detected by the sand texture on the surface of the Typic Paleudults due to the low degree of clay flocculation, slope, high resistance to the penetration and low hydraulic conductivity of the Bt horizon, making it necessary to adopt soil management practices to increase the water infiltration. Under pasture, mainly in the cattle trails where the trampling is more intense, there was high resistance to penetration in the superficial layers of the Typic Hapludults. The Typic Hapludox have the greatest potential for water yield in the small watersheds because of its greater extent in the headwaters and their morphological and physical characteristics, which can result in increased aquifer recharge.

Application to quantify fetal lung branching on rat explants

Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent

People Detection and Tracking using Depth Camera

In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human poses, after apply the Dynamic Time Warping. This similarity approach showed robust results in people detection.

Pectus Excavatum postsurgical outcome based on preoperative soft body dynamics simulation

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which an abnormal formation of the rib cage gives the chest a caved-in or sunken appearance. Today, the surgical correction of this deformity is carried out in children and adults through Nuss technic, which consists in the placement of a prosthetic bar under the sternum and over the ribs. Although this technique has been shown to be safe and reliable, not all patients have achieved adequate cosmetic outcome. This often leads to psychological problems and social stress, before and after the surgical correction. This paper targets this particular problem by presenting a method to predict the patient surgical outcome based on pre-surgical imagiologic information and chest skin dynamic modulation. The proposed approach uses the patient pre-surgical thoracic CT scan and anatomical-surgical references to perform a 3D segmentation of the left ribs, right ribs, sternum and skin. The technique encompasses three steps: a) approximation of the cartilages, between the ribs and the sternum, trough b-spline interpolation; b) a volumetric mass spring model that connects two layers - inner skin layer based on the outer pleura contour and the outer surface skin; and c) displacement of the sternum according to the prosthetic bar position. A dynamic model of the skin around the chest wall region was generated, capable of simulating the effect of the movement of the prosthetic bar along the sternum. The results were compared and validated with patient postsurgical skin surface acquired with Polhemus FastSCAN system

Variations of the soft tissue thicknesses external to the ribs in Pectus Excavatum patients

Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual

Automated image analysis of lung branching morphogenesis from microscopic images of fetal rat explants

Background: Regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. This work presents a new methodology to accurately quantify the epithelial, outer contour and peripheral airway buds of lung explants during cellular development from microscopic images. Methods: The outer contour was defined using an adaptive and multi-scale threshold algorithm whose level was automatically calculated based on an entropy maximization criterion. The inner lung epithelial was defined by a clustering procedure that groups small image regions according to the minimum description length principle and local statistical properties. Finally, the number of peripheral buds were counted as the skeleton branched ends from a skeletonized image of the lung inner epithelial. Results: The time for lung branching morphometric analysis was reduced in 98% in contrast to the manual method. Best results were obtained in the first two days of cellular development, with lesser standard deviations. Non-significant differences were found between the automatic and manual results in all culture days. Conclusions: The proposed method introduces a series of advantages related to its intuitive use and accuracy, making the technique suitable to images with different lightning characteristics and allowing a reliable comparison between different researchers.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Determination of reactivity rates of silicate particle-size fractions

The efficiency of sources used for soil acidity correction depends on reactivity rate (RR) and neutralization power (NP), indicated by effective calcium carbonate (ECC). Few studies establish relative efficiency of reactivity (RER) for silicate particle-size fractions, therefore, the RER applied for lime are used. This study aimed to evaluate the reactivity of silicate materials affected by particle size throughout incubation periods in comparison to lime, and to calculate the RER for silicate particle-size fractions. Six correction sources were evaluated: three slags from distinct origins, dolomitic and calcitic lime separated into four particle-size fractions (2, 0.84, 0.30 and <0.30-mm sieves), and wollastonite, as an additional treatment. The treatments were applied to three soils with different texture classes. The dose of neutralizing material (calcium and magnesium oxides) was applied at equal quantities, and the only variation was the particle-size material. After a 90-day incubation period, the RER was calculated for each particle-size fraction, as well as the RR and ECC of each source. The neutralization of soil acidity of the same particle-size fraction for different sources showed distinct solubility and a distinct reaction between silicates and lime. The RER for slag were higher than the limits established by Brazilian legislation, indicating that the method used for limes should not be used for the slags studied here.

Application to quantify fetal lung branching on rat explant

Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent.

Variations of the soft tissue thicknesses external to the ribs in pectus excavatum patients

Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.