5 research outputs found

    Imagens multiespectrais para avaliação de índice de área foliar e massa seca do capim ‘Tifton 85’, sob adubação nitrogenada

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    O presente trabalho teve por objetivo analisar as respostas do capim 'Tifton 85' (Cynodon spp.) à adubação nitrogenada, em termos de área foliar verde e de massa seca da parte aérea, utilizando índices calculados a partir de informações contidas em imagens multiespectrais, em comparação com indicadores obtidos por métodos diretos. Os tratamentos consistiram de quatro doses de N-ureia (0; 100; 150 e 200 kg ha-1), dispostos em um desenho experimental inteiramente casualizado, com quatro repetições. Aos 26 dias, após um corte de uniformização, foram determinados os seguintes atributos do dossel: o Índice de Área Foliar (IAF), a massa seca da parte aérea (MSPA), o índice de cobertura verde (ICV), utilizando uma câmara digital na faixa do visível e o Índice de Vegetação por Diferença Normalizada (NDVI), utilizando uma câmara multiespectral. Os quatro atributos do dossel vegetativo responderam positivamente à adubação nitrogenada. Enquanto o ICV mostrou relações curvilineares com o IAF e a MSPA (R² IAF=0,89; R² MSPA=0,87), o NDVI mostrou relações lineares (r² IAF=0,62; r2 MSPA=0,64), sem evidenciar tendência à saturação. Foi concluído que é possível avaliar a adubação nitrogenada em pastagens de Cynodon spp., utilizando análise de imagens, e que tanto o NDVI quanto o ICV podem ser utilizados como indicadores de produtividade do capim Tifton 85The purpose of this study was to verify the responses of 'Tifton 85' bermudagrass (Cynodon spp.) to nitrogen fertilization in terms of green leaf area and aerial dry mass, using indices calculated from spectral information contained in multispectral images, in comparison with indicators obtained by direct methods. The bermudagrass was managed under four N treatments (0; 100; 150 and 200 kg ha-1) using a completely randomized experimental design, with four repetitions. Twenty six days after a standardization cut, four canopy traits were determined: leaf area index (LAI), aerial dry mass (ADM), green coverage index (GCI), using a RGB camera and the Normalized Difference Vegetation Index (NDVI), using a multispectral camera. All the traits responded positively to nitrogen fertilization. However, while the GCI showed curvilinear relationships with LAI (R²=0.89) and ADM (R²=0.87), the NDVI showed linear relationships with both (r² LAI=0.62; r² ADM=0.64) without evidences of saturated responses. It was concluded that it is possible to evaluate nitrogen fertilizer on pastures of Cynodon spp., using image analysis. NDVI and ICV can be used as productivity indicators of 'Tifton 85' bermudagras

    Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

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    International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

    Ser e tornar-se professor: práticas educativas no contexto escolar

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    Núcleos de Ensino da Unesp: artigos 2008

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    Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq
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