Avaliação da viabilidade polínica e da hibridização de seis espécies de Passiflora L. do Banco Ativo de Germoplasma da Embrapa Semiárido.

Nesse trabalho, objetivou-se analisar a viabilidade do pólen nos estádios de pré-antese e antese, de seis espécies de Passiflora (P. alata Curtis, P. cincinnata Mast., P. edulis f. flavicarpa Deg., P. laurifolia L., P. luetzelburgii Harms e P. quadrangularis L.) provenientes do BAG da Embrapa Semiárido, visando a sua utilização em cruzamentos interespecíficos. Botões florais foram coletados e fixados em Carnoy (3:1 álcool etílico/ácido acético). Grãos de pólen das anteras em antese foram analisados após a coleta. As anteras foram esmagadas entre lâmina e lamínula e coradas com carmim acético 1,2%. De acordo com a colorabilidade, os grãos de pólen foram contados e classificados como viáveis ou inviáveis, calculando-se os índices médios de viabilidade com seus respectivos desvios padrão. Para a polinização artificial, botões florais foram protegidos na préantese. Foram realizados, no mínimo, 10 cruzamentos entre espécies. Os frutos desenvolvidos foram avaliados 7 dias após a hibridização. Observou-se alto percentual médio (>91%) de viabilidade de pólen nas espécies estudadas. Os maiores percentuais de frutos desenvolvidos foram obtidos das polinizações feitas em estádio de antese. No entanto, polinizações com grãos de pólen obtidos em pré-antese também foram viáveis, mostrando que as hibridizações podem ser realizadas com sucesso nos dois estádios de desenvolvimento

Germinação de sementes e produção de mudas de maracujá-do-mato.

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Relação da vegetação de caatinga com a condição geomorfométrica local

Objetivou-se, com o presente trabalho, avaliar o potencial das variáveis geomorfométricas extraídas de dados SRTM (Shuttle Radar Topographic Mission) para identificação de tipos vegetacionais da Reserva Particular do Patrimônio Natural de Serra das Almas, CE. Em estudo conduzido na escala de 1:100.000, as variáveis geomorfométricas (elevação, declividade, orientação de vertente, curvatura vertical e curvatura horizontal) foram confrontadas com o mapa de vegetação referência, através de análises de histogramas e análises discriminantes. As variáveis mais importantes na distinção entre os tipos vegetacionais, foram a elevação, a declividade e a curvatura vertical, embora se pudesse observar preferências de tipos mapeados em relação às demais variáveis. Apesar dos dados geomorfométricos mostrarem potencial indicativo das classes de vegetação pela interpretação dos padrões, as análises sob abordagem numérica resultaram em discriminação em um nível aquém do detalhamento temático do mapa referência. Concluiu-se que os dados geomorfométricos representaram significativos insumos para o mapeamento fitogeográfico, devendo ser explorados de forma integrada, em complementaridade às demais variáveis já utilizadas.The objective of this work was to assess the potential of geomorphometric variables, derived from SRTM (Shuttle Radar Topographic Mission) data, to help in identifying vegetation types in the Serra das Almas National Park (CE). A 1:100.000 survey vegetation map was used as reference and the geomorphometric variables (elevation, slope, aspect and profile and plan curvatures) were compared to the mapped units. The variables elevation, slope and profile curvature were shown as the most important for their high discrimination power of the vegetation types. Although geomorphometric data had strong potential for characterizing vegetation through map comparisons, the achieved thematic detail levels were under those of the reference map when data was analyzed under a numerical approach. It was concluded that geomorphometric data were important input for vegetation mapping, and should be employed together with currently used data

Contemporary Management of Stable Coronary Artery Disease.

Coronary artery disease (CAD) continues to be the leading cause of mortality and morbidity in developed countries. Assessment of pre-test probability (PTP) based on patient's characteristics, gender and symptoms, help to identify more accurate patient's clinical likelihood of coronary artery disease. Consequently, non-invasive imaging tests are performed more appropriately to rule in or rule out CAD rather than invasive coronary angiography (ICA). Coronary computed tomography angiography (CCTA) is the first-line non-invasive imaging technique in patients with suspected CAD and could be used to plan and guide coronary intervention. Invasive coronary angiography remains the gold-standard method for the identification and characterization of coronary artery stenosis. However, it is recommended in patients where the imaging tests are non-conclusive, and the clinical likelihood is very high, remembering that in clinical practice, approximately 30 to 70% of patients with symptoms and/or signs of ischemia, referred to coronary angiography, have non obstructive coronary artery disease (INOCA). In this contest, physiology and imaging-guided revascularization represent the cornerstone of contemporary management of chronic coronary syndromes (CCS) patients allowing us to focus specifically on ischemia-inducing stenoses. Finally, we also discuss contemporary medical therapeutic approach for secondary prevention. The aim of this review is to provide an updated diagnostic and therapeutic approach for the management of patients with stable coronary artery disease

Land-use and land-cover mapping of the Brazilian cerrado based mainly on Landsat-8 satellite images.

The Brazilian Cerrado is one of the world´s biodiversity hotspot and hosts some of the most intensive agricultural activities for food production in the world. The objective of this study was to produce a land-use and land-cover (LULC) map of the Cerrado based on Landsat-8 Operational Land Imager (OLI) images. A set of 121 scenes from 2013 was processed using the image segmentation technique. The segments were exported in the shapefile format and interpreted visually in a geographical information system software using RGB/564 color composites. The following LULC classes were considered: annual croplands, perennial croplands, cultivated pasturelands, reforestation, mosaic of occupation, urban areas, mining areas, bare soil, forestlands, non-forestlands, water bodies, and non-identified (clouds and burned areas). The overall accuracy was estimated by an independent scientist with large experience in Cerrado´s image interpretation. The results showed that 43.4% of the study area (88.5 million hectares) were already converted into agricultural, urban and mining areas, 54.6% (111 million hectares) were still natural areas, and 1.9% (3.9 million hectares) was classified as non-identified. Cultivated pasturelands were the most representative land-use type (29.5%), followed by annual croplands (8.5%) and perennial croplands (3.1%). The overall accuracy of the final map was 80.2%.Título em português: Mapeamento de uso e cobertura de terras do cerrado com base principalmente em imagens do satélite Landsat-8

Land-use and land-cover mapping of the Brazilian cerrado based mainly on Landsat-8 satellite images.

The Brazilian Cerrado is one of the world´s biodiversity hotspot and hosts some of the most intensive agricultural activities for food production in the world. The objective of this study was to produce a land-use and land-cover (LULC) map of the Cerrado based on Landsat-8 Operational Land Imager (OLI) images. A set of 121 scenes from 2013 was processed using the image segmentation technique. The segments were exported in the shapefile format and interpreted visually in a geographical information system software using RGB/564 color composites. The following LULC classes were considered: annual croplands, perennial croplands, cultivated pasturelands, reforestation, mosaic of occupation, urban areas, mining areas, bare soil, forestlands, non-forestlands, water bodies, and non-identified (clouds and burned areas). The overall accuracy was estimated by an independent scientist with large experience in Cerrado´s image interpretation. The results showed that 43.4% of the study area (88.5 million hectares) were already converted into agricultural, urban and mining areas, 54.6% (111 million hectares) were still natural areas, and 1.9% (3.9 million hectares) was classified as non-identified. Cultivated pasturelands were the most representative land-use type (29.5%), followed by annual croplands (8.5%) and perennial croplands (3.1%). The overall accuracy of the final map was 80.2%.Título em português: Mapeamento de uso e cobertura de terras do cerrado com base principalmente em imagens do satélite Landsat-8

Seleção genômica ampla no melhoramento de Coffea canephora.

Neste trabalho, um grande número de indivíduos e marcadores foram selecionados, para se avaliar a aplicabilidade da SGA em termos de resposta de seleção das características alvo e precisão da predição em uma população de C. canephora.Título em inglês: Genome wide selection in Coffea canephora breeding