372 research outputs found

    'BRS F50' (Cecilia): A multi-purpose potato cultivar with resistance to foliar disease.

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    ‘BRS F50’ (Cecilia) is a yellow skin potato cultivar for the fresh market, with good tuber appearance and versatile culinary use. The tuber has oval shape, shallow eyes, and light yellow flesh. It has a relatively high dry matter and medium-low glucose content, giving possibility even to use for processing into shoestring fries. The vegetative cycle and dormancy are medium. The maturity and tuber dormancy are medium. ‘BRS F50’ (Cecilia) shows a very low external and internal tuber disorder incidence, except growing cracks under varying soil humidity. It is moderately resistant to late and early blight, which make it also suitable for organic production. ‘BRS F50’ (Cecilia) was released by Embrapa in 2022, and is a product of its potato breeding program, developed by Embrapa Clima Temperado, in Pelotas-RS and Canoinhas-SC, and Embrapa Hortaliças, in Brasília-DF, Brazil

    BRS F50 (Cecília): cultivar de batata para mercado fresco com adaptação a sistema de produção orgânica.

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    O desenvolvimento de cultivares adaptadas a sistemas orgânicos e em transição agroecológica tem sido um dos objetivos de programa de melhoramento genético de batata da Embrapa, desenvolvido pelas Unidades Clima Temperado em Pelotas, RS, e Canoinhas, SC, e Hortaliças, em Brasília, DF. Nesse sentido, em 2010 foi lançada a cultivar BRS Clara (Pereira et al., 2013), que está sendo cultivada com sucesso por produtores orgânicos da região Sul e Sudeste do país. Não obstante seu desempenho agronômico, essa cultivar apresenta limitada versatilidade de uso culinário, sendo apta apenas para cozimento. Em vista disso, e também para oferecer uma nova opção com maior valor agregado em aparência de tubérculo e versatilidade culinária (cozimento e fritura), é lançada em 2022 a cultivar BRS F50 (Cecília).ODS 2

    Aboveground biomass estimation in Amazonian Tropical Forests: a comparison of aircraft- and GatorEye UAV- borne LiDAR data in the Chico Mendes Extractive Reserve in Acre, Brazil.

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    Tropical forests are often located in dicult-to-access areas, which make high-quality forest structure information dicult and expensive to obtain by traditional field-based approaches. LiDAR (acronym for Light Detection And Ranging) data have been used throughout the world to produce time-ecient and wall-to-wall structural parameter estimates for monitoring in native and commercial forests. In this study, we compare products and aboveground biomass (AGB) estimations from LiDAR data acquired using an aircraft-borne system in 2015 and data collected by the unmanned aerial vehicle (UAV)-based GatorEye Unmanned Flying Laboratory in 2017 for ten forest inventory plots located in the Chico Mendes Extractive Reserve in Acre state, southwestern Brazilian Amazon. The LiDAR products were similar and comparable among the two platforms and sensors. Principal dierences between derived products resulted from the GatorEye system flying lower and slower and having increased returns per second than the aircraft, resulting in a much higher point density overall (11.3 1.8 vs. 381.2 58 pts/m2). Dierences in ground point density, however, were much smaller among the systems, due to the larger pulse area and increased number of returns per pulse of the aircraft system, with the GatorEye showing an approximately 50% higher ground point density (0.27 0.09 vs. 0.42 0.09). The LiDAR models produced by both sensors presented similar results for digital elevation models and estimated AGB. Our results validate the ability for UAV-borne LiDAR sensors to accurately quantify AGB in dense high-leaf-area tropical forests in the Amazon. We also highlight new possibilities using the dense point clouds of UAV-borne systems for analyses of detailed crown structure and leaf area density distribution of the forest interior
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