Relationship between grain yield and blossoming in upland rice lines

For upland rice, it is desired, among many objectives, to obtain highly productive and early genotypes, consequently reducing the risk of establishing a crop regarding climatic adversities. Therefore, this study aimed to verify the correlation between the agronomic traits days to flowering and grain yield of 14 upland rice lines. The experiment was conducted in seven environments, in the 2013/14, 2014/15 and 2015/16 crop years, in a randomized complete block design with three replications. Both the genotypic and phenotypic correlation were significant and positive, whereas the genotype correlation was superior to the phenotype. However, it was noted a low magnitude of the correlation values. It was concluded that a favorable and simultaneous selection is possible for high grain yield and plants with early blossoming cycle in upland rice

Acute Conjunctivitis with Episcleritis and Anterior Uveitis Linked to Adiaspiromycosis and Freshwater Sponges, Amazon Region, Brazil, 2005

An epidemiologic investigation of an ocular disease outbreak among children was linked to the unusual fungus Emmonsia sp., an agent of adiaspiromycosis

PROJETO DE INOVAÇÃO PEDAGÓGICA “ANJOS DA QUÍMICA”: INSIGHTS SOBRE EVASÃO, NIVELAMENTO E CURSOS PREPARATÓRIOS PARA O ENEM

O trabalho desenvolvido pelo projeto de inovação pedagógica “Anjos da Química” objetivou avaliar os principais fatores que levam a evasão do curso de Química Ambiental e atenuar as dificuldades dos alunos durante a graduação, por meio de monitorias e cursos de nivelamento. Também foi ofertado curso pré-vestibular popular para escolas públicas e privadas. Os resultados mostram que aproximadamente 90 discentes foram atendidos pela monitoria e que quando a monitoria é corretamente trabalhada dentro da disciplina há um aumento no número de alunos aprovados. Dois diagnósticos do curso foram realizados, o primeiro entre os alunos regularmente matriculados no curso para saber as principais dificuldades encontradas e os resultados mostraram que as maiores dificuldades dos alunos são nas disciplinas de Física e Cálculo. O segundo diagnóstico do curso foi realizado com os alunos que evadiram o curso de Química Ambiental e é importante destacar que 78,6% dos alunos que desistiram do curso não conhece os programas de permanência estudantil da UFT. O curso pré-vestibular popular foi realizado em duas escolas de forma presencial, com a participação de 28 alunos e ao final 91% dos alunos que participaram afirmaram a necessidade de um curso preparatório para concorrer ao vestibular/ENEM

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

Consenso brasileiro para o tratamento da esclerose múltipla : Academia Brasileira de Neurologia e Comitê Brasileiro de Tratamento e Pesquisa em Esclerose Múltipla

O crescent arsenal terapêutico na esclerose múltipla (EM) tem permitido tratamentos mais efetivos e personalizados, mas a escolha e o manejo das terapias modificadoras da doença (TMDs) tem se tornado cada vez mais complexos. Neste contexto, especialistas do Comitê Brasileiro de Tratamento e Pesquisa em Esclerose Múltipla e do Departamento Científico de Neuroimunologia da Academia Brasileira de Neurologia reuniram-se para estabelecer este Consenso Brasileiro para o Tratamento da EM, baseados no entendimento de que neurologistas devem ter a possibilidade de prescrever TMDs para EM de acordo com o que é melhor para cada paciente, com base em evidências e práticas atualizadas. Por meio deste documento, propomos recomendações práticas para o tratamento da EM, com foco principal na escolha e no manejo das TMDs, e revisamos os argumentos que embasam as estratégias de tratamento na EM.The expanding therapeutic arsenal in multiple sclerosis (MS) has allowed for more effective and personalized treatment, but the choice and management of disease-modifying therapies (DMTs) is becoming increasingly complex. In this context, experts from the Brazilian Committee on Treatment and Research in Multiple Sclerosis and the Neuroimmunology Scientific Department of the Brazilian Academy of Neurology have convened to establish this Brazilian Consensus for the Treatment of MS, based on their understanding that neurologists should be able to prescribe MS DMTs according to what is better for each patient, based on up-to-date evidence and practice. We herein propose practical recommendations for the treatment of MS, with the main focus on the choice and management of DMTs, as well as present a review of the scientific rationale supporting therapeutic strategies in MS

The Genome of Anopheles darlingi, the main neotropical malaria vector

Anopheles darlingi is the principal neotropical malaria vector, responsible for more than a million cases of malaria per year on the American continent. Anopheles darlingi diverged from the African and Asian malaria vectors ∼100 million years ago (mya) and successfully adapted to the New World environment. Here we present an annotated reference A. darlingi genome, sequenced from a wild population of males and females collected in the Brazilian Amazon. A total of 10 481 predicted protein-coding genes were annotated, 72% of which have their closest counterpart in Anopheles gambiae and 21% have highest similarity with other mosquito species. In spite of a long period of divergent evolution, conserved gene synteny was observed between A. darlingi and A. gambiae. More than 10 million single nucleotide polymorphisms and short indels with potential use as genetic markers were identified. Transposable elements correspond to 2.3% of the A. darlingi genome. Genes associated with hematophagy, immunity and insecticide resistance, directly involved in vectorhuman and vectorparasite interactions, were identified and discussed. This study represents the first effort to sequence the genome of a neotropical malaria vector, and opens a new window through which we can contemplate the evolutionary history of anopheline mosquitoes. It also provides valuable information that may lead to novel strategies to reduce malaria transmission on the South American continent. The A. darlingi genome is accessible at www.labinfo.lncc.br/index.php/anopheles- darlingi. © 2013 The Author(s)

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications 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, 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