CRESCIMENTO INICIAL DE MUDAS DE CAFÉ ARÁBICA EM FUNÇÃO DE DOSES DE FÓSFORO

The coffee tree (Coffea arabica L.) is a culture of extreme importance in the Brazilian economy. One of the main concerns with the implantation of the culture is the quality of the seedlings taken to the field. One of the biggest deficiencies of our soils is the nutrient phosphorus. The objective of this study was to evaluate the initial growth of arabica coffee seedlings in relation to time and phosphorus doses. The study was developed in a greenhouse at the Federal University of Paraíba, Areia-PB. The experiment was set up with coffee seedlings in polyethylene bags under a completely randomized design considering the time with monthly evaluations during six months and the doses of phosphorus (0, 0.3, 0.6 and 0.9 g.dm-3). It was evaluated plant height, diameter at ground level, number of leaves, length and width of leaves, and fresh and root and shoot dry. The plant height, diameter at the soil level, number of leaves and shoot fresh matter showed a maximum value at 180 days after transplantation, in which dose of 0.6 g.dm-3 provided a better result. The length and width of the leaf showed a maximum value point between 125 and 157 days after transplanting, the highest values being observed at a dose of 0.6 g.dm-3. The root length, root fresh matter and root and shoot dry matter showed great point near the dose of 0.6 g.dm-3. It is concluded that the dose of 0.6 g of P.dm-3 presents the highest results for all analyzed variables, and that the 180-day period after transplantation provides the highest values of plant height, diameter at the soil level and number of leaves.O cafeeiro (Coffea arabica L.) é uma cultura de extrema importância na economia brasileira. Uma das maiores preocupações com a implantação da cultura é a qualidade das mudas levadas a campo. Uma das maiores deficiências dos nossos solos refere-se ao nutriente fósforo. Objetivou-se neste experimento avaliar o crescimento inicial de mudas de café arábica em função de doses de fósforo e do tempo. O experimento foi montado com mudas de café em sacos de polietileno, no delineamento inteiramente casualizado considerando o tempo com avaliações mensais durante seis meses e as doses de fósforo (0; 0,3; 0,6 e 0,9 g.dm-3). Foi avaliado altura de plantas, diâmetro ao nível do solo, número de folhas, comprimento e largura de folhas, e massa da matéria fresca e seca de raiz e parte aérea. A altura de plantas, diâmetro a nível do solo, número de folhas e matéria fresca da parte aérea apresentaram valor máximo aos 180 dias após transplante, sendo a dose de 0,6 g.dm-3 a que proporcionou melhores resultados. O comprimento e largura da folha apresentaram um ponto de máximo valor variando entre 125 e 157 dias após o transplante, sendo verificado os maiores valores na dose de 0,6 g.dm-3. O comprimento de raiz, massa da matéria fresca da raiz e matéria seca de raiz e parte aérea apresentaram ponto ótimo próximo a dose de 0,6 g.dm-3

Fatores preditivos para formação de fibrina na câmara anterior após cirurgia vitreorretiniana

Purpose: The aim of this study was to investigate possible predictive factors related to anterior chamber fibrin formation after vitreoretinal surgery in a large series of patients.Methods:The data of 185 eyes of 185 patients submitted to vitreoretinal surgery was reviewed. The following variables were evaluated: the postoperatively presence of fibrin, age, diabetes mellitus, the vitrectomy system gauge (20, 23 or 25 gauge), the type of vitreous substitute, the influence of prior surgical procedures and the combination with cataract extraction. To evaluate predictive factors for anterior chamber fibrin formation, univariate analysis was performed. A multivariate stepwise logistic regression model was adjusted to investigate factors associated with fibrin formation (p<0.05).Results:Fibrinoid anterior chamber reaction was found in 12 (6.4%) patients. For multivariate logistic regression analysis, balanced salt solution (BSS), the chance of fibrin occurrence was 5 times greater (odds ratio 4.83, CI 95% 1.302 - 17.892; p=0.019), while combination with phacoemulsification increased the chance of fibrin formation by 20 times (odds ratio 20, CI 95% 2.480 - 161.347; p=0.005). No significant difference was found regarding other variables.Conclusion: Anterior chamber fibrin formation is an unwanted complication after vitreoretinal surgery. Factors such as combined performance of phacoemulsification and the use of balanced salt solution as a vitreous substitute may predispose the occurrence of this complication.Objetivo:Avaliar os possíveis fatores relacionados à formação de fibrina na câmara anterior após cirurgia vitreorretiniana em uma grande série de casos.Métodos:Foi realizado um estudo retrospectivo, observacional, caso-controle, onde os dados de 185 olhos de 185 pacientes submetidos à cirurgia vitreorretiniana foram avaliados. Os seguintes dados foram analisados: presença ou não de fibrina na câmara anterior na primeira semana de pós-operatório, idade, presença ou não de diabetes mellitus, calibre do sistema de vitrectomia utilizado (20,23 ou 25 gauge), substituto vítreo, a influência de cirurgias oftalmológicas prévias e a realização de cirurgia de catarata combinada. Para avaliação dos fatores preditivos para formação de fibrina, a análise univariada foi realizada. O modelo de regressão logística multivariada foi utilizado para investigar os fatores associados com a formação de fibrina (p<0,05).Resultados:A presença de fibrina na câmara anterior foi encontrada em 12 (6,4%) pacientes. Pela análise de regressão logística multivariada, o uso de solução salina balanceada (BSS) como substituto vítreo, a chance da presença de fibrina foi 5 vezes maior (odds ratio 4,83, IC 95% 1,302 - 17,892; p=0,019), enquanto que a realização de cirurgia facoemulsificação combinada aumentou a chance de formação de fibrina 20 vezes (odds ratio 20, IC 95% 2,480 - 161,347; p=0,005). Nenhuma diferença estatisticamente significativa foi encontrada para as outras variáveis.Conclusão:A formação de fibrina na câmara é uma complicação indesejada após cirurgia vitreorretiniana. Fatores como realização de cirurgia de facoemulsificação combinada e o uso de BSS como substituto vítreo podem predispor a esta complicação.Universidade Federal de Juiz de ForaHospital de Olhos de Juiz de ForaUniversidade Federal de São Paulo (UNIFESP)UNIFESPSciEL

Produção de mudas de cafeeiro em função da época e da adubação fosfatada

O objetivo desse trabalho foi avaliar o crescimento de mudas do cafeeiro arábica (Coffea arabica L.) em função da época e doses de fósforo. O experimento foi realizado em casa de vegetação do Departamento de Fitotecnia, pertencente ao Centro de Ciências Agrárias (CCA), da Universidade Federal da Paraíba (UFPB), Campus II, Areia, PB, realizado no período de 16/12/2013 a 16/06/2014. Foram utilizadas sementes de plantas matrizes de café arábica. Utilizou-se o delineamento em blocos casualizados (DBC), com quatro tratamentos e quatro repetições, com duas plantas por parcela. Os fatores consistiram no tempo (30; 60; 90; 120; 150 e 180 dias) e doses de fósforo (0,0; 0,3; 0,6 e 0,9 g dm-3, aplicados na forma de superfosfato simples). As avaliações referentes aos parâmetros de crescimento foram realizadas mensalmente, durante 6 meses. A colheita das plantas foi realizada aos 180 dias após o transplantio. Os dados foram submetidos à análise de variância e de regressão, com o auxílio do software estatístico Sisvar. O maior crescimento das mudas de cafeeiro foi obtido com doses de P variando entre 0,6 a 0,9 g dm-3.

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

Educomunicação, Transformação Social e Desenvolvimento Sustentável

Esta publicação apresenta os principais trabalhos dos GTs do II Congresso Internacional de Comunicação e Educação nos temas&nbsp;Transformação social, com os artigos que abordam principalmente Educomunicação e/ou Mídia-Educação, no contexto de políticas de diversidade, inclusão e equidade; e, em Desenvolvimento Sustentável&nbsp;os artigos que abordam os avanços da relação comunicação/educação no contexto da educação ambiental e desenvolvimento sustentável

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost