An Approach to Evaluate Soils Influence on Floristic Composition of Natural Grasslands

This trial aims to evaluate floristic composition of most abundant species in three soil typical of Pampa biome on Brazil. The survey was held at Maronna Fundation located on southern Alegrete municipality, on Rio Grande do Sul, Brazil’s state. Regional climate belongs to Koeppen’s Cfa class. Soil types were shallow basalt (Psamments e Orthents), deep basalt (Vertisols) and sandy soil (Acrisols or Ultisols). Floristic composition were evaluated by visual ranking of aerial biomass of the major species (transformed to kg of dry matter per hectare), calibrated by cuts at ground level, according to field procedures of BOTANAL method. Grasses were clustered according to functional groups based on its leaf traits as proposed by Cruz et al. (2010). This approach proposed a ranking of grasses that ranges from its increasing leaf dry matter, and decreasing specific leaf area, from A to C groups. Total forage mass varied according to soil type. Contribution of A, B and C groups on total forage mass range from 40 to 60 %. Paspalum notatum, from B group, were found on the three soils, being more abundant on sandy and shallow basalt soils. Andropogon lateralis, from C group, was dominant on deep basalt soils, while Axonopus affinis, from A group, has higher biomass contribution on the same soil. We concluded that soil type affected floristic composition, even with this simplified diagnosis criteria

Composição química do óleo essencial de 40 acessos de sacaca (Croton cajucara Benth) do banco de germoplasma da Embrapa Amazônia Ocidental.

A coleção de germoplasma de sacaca (Croton cajucara Benth.) da Embrapa Amazônia Ocidental teve início em 1997, com acessos coletados em 15 localidades da Região Norte, objetivando realizar o estudo de variabilidade entre elas, a conservação do germoplasma da espécie e selecionar genótipos superiores para a produção de biomassa (folhas) com maior potencial para a produção de óleo essencial rico em linalol. Dois morfotipos, definidos principalmente pela diferença na coloração das folhas, foram identificados na coleção e denominados sacaca branca e sacaca vermelha. Dentro das ações previstas nesta rede, está a avaliação da composição química dos óleos essenciais

Adaptação da metodologia: análise de microestruturas de pelos para identificação de mamíferos - tricologia.

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FAO/WHO GIFT (Global Individual Food consumption data Tool): a global repository for harmonised individual quantitative food consumption studies

Knowing who eats what, understanding the various eating habits of different population groups, according to the geographical area, is critical to develop evidence-based policies for nutrition and food safety. The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) is a novel open-access online platform, hosted by FAO and supported by WHO, providing access to harmonised individual quantitative food consumption (IQFC) data, especially in low- and middle-income countries (LMIC). FAO/WHO GIFT is a growing repository, which will serve as the global FAO/WHO hub to disseminate IQFC microdata. Currently five datasets from LMIC are available for dissemination, and an additional fifty datasets will be made available by 2022. To facilitate the use of these data by policy makers, ready-to-use food-based indicators are provided for an overview of key data according to population segments and food groups. FAO/WHO GIFT also provides an inventory of existing IQFC data worldwide, which currently contains detailed information on 188 surveys conducted in seventy-two countries. In order for end-users to be able to aggregate the available data, all datasets are harmonised with the European Food Safety Authority's food classification and description system FoodEx2 (modified for global use). This harmonisation is aimed at enhancing the consistency and reliability of nutrient intake and dietary exposure assessments. FAO/WHO GIFT is developed in synergy with other global initiatives aimed at increasing the quality, availability and use of IQFC data in LMIC to enable evidence-based decision-making and policy development for better nutrition and food safety