Potential use of treated wastewater from a cattle operation in the fertigation of organic carrots

The use of treated effluents rich in nutrients and organic matter has intensified in agricultural crops, contributing to the demand for water and fertilizers. The goal of this work was to assess the effects of fertigation with treated dairy cattle wastewater, for the cultivation of carrot (Daucus carota) when applied in four different doses, under field conditions, on nutrient accumulation, productivity, and health quality in the carrot (D. carota). Wastewater from treated cattle (WTC) was treated in a pilot treatment unit (PTU). Cultivation was carried out in two beds, and the WTC applied by drippers. Nitrogen (N) was considered the base element for the dose calculation, and a 100% N dose was equivalent to 150 kg ha−1. WTC doses of 0, 100, 200, and 300% N were evaluated. Productivity was evaluated at 70 and 120 days after sowing, in the aerial part (fresh and dry mass and accumulation of nutrients), in the main roots (fresh and dry mass, accumulation of nutrients, diameter, length, and sanitary quality), and as the total productivity of the two organs. As a result, an increase in productivity was observed for all treatments with WTC and accumulation of Ca and Mg. The roots did not present contamination; therefore, the carrots were fit for human consumption. It was concluded that the application of WTC in organic cultivation of carrots is a viable alternative means of plant fertilization, providing higher root productivity than the national average, reaching 72.6 t ha−1 for a dose of 100% N, without compromising on sanitary quality and is suitable for human and animal consumption.A utilização de efluentes tratados, ricos em nutrientes e matéria orgânica, tem se intensificado nas culturas agrícolas, contribuindo para a demanda por água e fertilizantes. O objetivo deste trabalho foi avaliar os efeitos da fertirrigação com água residuária de gado leiteiro tratada para o cultivo da cenoura (Daucus carota), quando aplicada em quatro doses diferentes, em condições de campo, no acúmulo de nutrientes, produtividade e qualidade sanitária. As águas residuárias de bovinocultura (ARB) foram tratadas em uma unidade piloto de tratamento (UPT). O cultivo foi realizado em dois canteiros, sendo a ARB aplicada por gotejadores. O nitrogênio (N) foi considerado o elemento base para o cálculo da dose, e uma dose de 100% de N foi equivalente a 150 kg ha-1. Doses da ARB de 0, 100, 200 e 300% de N foram avaliadas. A produtividade foi aferida aos 70 e 120 dias após a semeadura, na parte aérea (massa fresca e seca e acúmulo de nutrientes), nas raízes principais (massa fresca e seca, acúmulo de nutrientes, diâmetro, comprimento e qualidade sanitária) e nas duas partes (produtividade total). Como resultado, observou-se aumento na produtividade para todos os tratamentos com ARB e acúmulo de N, Ca e Mg. As raízes não apresentaram contaminação, portanto as cenouras eram próprias para consumo humano. Concluiu-se que a aplicação da ARB no cultivo orgânico de cenoura é uma alternativa viável de adubação das plantas. Proporciona produtividade de raízes superior à média nacional, chegando a 72,6 t ha-1 para uma dose de 100% N, sem comprometer a qualidade sanitária do produto, que é adequado para consumo humano e animal

Impactos da pandemia Covid-19 no ensino e formação do graduando em enfermagem: revisão integrativa / Impacts of the Covid-19 pandemic on the teaching and training of nursing undergraduates: integrative review

Introdução: Em 2019, na China, foi relatado um caso de pneumonia viral não identificada. A infecção causada pelo vírus, posteriormente identificado como Sars-Cov-2, tornou-se pandemia pela alta transmissibilidade entre populações de diversos países, o que demandou aplicação de medidas rigorosas de controle e prevenção, visando a diminuição da propagação do vírus em ambientes fechados. Objetivo: O objetivo deste estudo foi identificar as evidências disponíveis na literatura sobre os impactos da pandemia COVID-19 no ensino e formação de graduandos de enfermagem. Metodologia: Para esse estudo foi realizada uma revisão integrativa da literatura sobre o tema nas plataformas SciELO, LILACS e MEDLINE. Resultados: Foram utilizados os descritores em grupos: i. Graduação and Pandemia; ii. Enfermagem and Formação e iii. Graduação and Enfermagem and Pandemia. Dentre os artigos encontrados foi realizada a eliminação das duplicatas e a seleção para os artigos publicados apenas nos últimos cinco anos. Conclusão: Torna-se então fundamental uma busca para que as medidas de contrabalanço à pandemia sejam igualmente empregadas a todos os alunos, buscando sempre uma melhoria do ensino e amenizar os impactos da pandemia

BRSMG Realce: Common bean cultivar with striped grains for the state of Minas Gerais

The common bean cultivar “BRSMG Realce”, recommended for the state of Minas Gerais, has high yield potential and resistance to powdery mildew, bacterial wilt and to anthracnose pathotypes 65, 73, 77, 81, 91, 475 and 479. The plants and pods are high, resulting in lower loss during mechanical harves

Lidar Observations in South America. Part I - Mesosphere and Stratosphere

South America covers a large area of the globe and plays a fundamental function in its climate change, geographical features, and natural resources. However, it still is a developing area, and natural resource management and energy production are far from a sustainable framework, impacting the air quality of the area and needs much improvement in monitoring. There are significant activities regarding laser remote sensing of the atmosphere at different levels for different purposes. Among these activities, we can mention the mesospheric probing of sodium measurements and stratospheric monitoring of ozone, and the study of wind and gravity waves. Some of these activities are long-lasting and count on the support from the Latin American Lidar Network (LALINET). We intend to pinpoint the most significant scientific achievements and show the potential of carrying out remote sensing activities in the continent and show its correlations with other earth science connections and synergies. In Part I of this chapter, we will present an overview and significant results of lidar observations in the mesosphere and stratosphere. Part II will be dedicated to tropospheric observations

Lidar Observations in South America. Part II - Troposphere

In Part II of this chapter, we intend to show the significant advances and results concerning aerosols’ tropospheric monitoring in South America. The tropospheric lidar monitoring is also supported by the Latin American Lidar Network (LALINET). It is concerned about aerosols originating from urban pollution, biomass burning, desert dust, sea spray, and other primary sources. Cloud studies and their impact on radiative transfer using tropospheric lidar measurements are also presented

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio